Best Business Intelligence Software Tools

SelectHub is real people helping you find the best BI tools for your unique business needs while recognizing the true leaders who help make your decisions possible.

Business Intelligence Tools Buyer's Guide

Last updated on October 6th, 2020
Business Intelligence Software Is All About Discovering Insights

BI Tools Buyer's Guide

Business intelligence is the key to unleashing the full value of your enterprise data. As the name would indicate, BI focuses on helping businesses operate more intelligently. Arguably some of the most widely implemented enterprise solutions, business intelligence tools help users derive actionable insights from their data that can empower better decision making. When used effectively, BI solutions can increase productivity, visualize important information, streamline and improve processes and give companies a competitive edge.

This buyer’s guide provides a crash course on how to find the perfect BI platform for your business. You’ll learn about what benefits BI can offer, which features to look for and how to narrow down a list of capabilities that your specific organization requires. After covering the basics, we’ll give you some methods and tools you can employ throughout your BI tools comparison and selection process. Let’s get started.

Executive Summary

  • Empower organization-wide data literacy, data-driven decision making and improved operational efficiency with BI.
  • In order to accomplish implementation goals, BI software buyers need to create a list of requirements.
  • BI solutions offer core features like data visualization and reporting, as well as more advanced capabilities like data mining for more complex operations.
  • The BI market is trending towards cloud-based tools, but on-premise deployments are here to stay.
  • Augmented analytics is the future of BI.
  • Preparing a list of questions to ask yourself and vendors can help you narrow down your options.

What is Business Intelligence Software?

BI tools collect, organize, visualize and analyze data accumulated through business operations to highlight trends and patterns. They import and blend data from disparate sources, converting it into intuitive visualizations and dashboards that non-technical users can easily interpret. Users can take the insights generated by BI software and turn them into decisions that influence key metrics.

BI is an umbrella term that encompasses many other categories of software, including business analytics, enterprise reporting, big data analytics, visual analytics and embedded analytics.

Deployment Methods

Nowadays, business intelligence software vendors offer a variety of deployment methods that cater to the diverse needs and infrastructures of today’s business market. Customers can choose between on-premise installation, cloud-based deployment or a hybrid combination of the two. While many businesses are leaning towards adopting cloud-based systems, it’s important to determine which deployment method fits your company’s needs best. Here’s a quick look at the pros and cons of both:

Business Intelligence Software Deployment Methods

On-Premise

Installed directly onto hardware that your business owns and maintains, on-premise deployment offers several advantages:

Benefits
  • No Connection Required: Because on-premise systems don’t rely on internet connections, an interruption in internet service won’t affect your BI solution.
  • Improved Security: All of your crucial data is kept on site, meaning that your valuable business information is less likely to be exposed, as your systems are less likely to be targeted in hacking attacks. Your business can adjust the security measures to your particular needs and have better control over auditing.
  • Guaranteed Maintenance: The business manages all of the hardware and systems, with total flexibility in expanding storage, planned downtime, maintenance and upgrades, as well as data backups and contingency plans.
  • Single Payment to Own: The cost of deploying on-premise BI solutions are limited to a one-time, lump-sum payment for a perpetual license, as opposed to a recurring subscription to a service whose price may increase over time.
Limitations
  • Difficult Implementation: Deployment on an on-premise BI tool is a hands-on, time-consuming process. It can take days, or even months, to get your BI software integrated and running, not to mention the need to train employees on how to use it.
  • IT Resources Necessary: You’ll need staff to implement, maintain and fix your systems and hardware. If any technical issues arise, you’ll have to manage them with your IT department, with no guaranteed support from the BI vendor. You’ll also require a server room or space to keep your hardware.
  • Higher Cost of Entry: Not only do you need to pay for the BI solution, usually by buying a costly perpetual license, you also need to pay for the hardware and infrastructure necessary to run it. That’s money in the hole, a significant investment that not every company can or wants to make before they see any ROI.
  • Hard to Scale: Everytime your business grows, you’ll have to sink valuable resources into scaling, including cost, personnel and time. Keeping up with the latest BI trends and updating your system will be your responsibility as well.

On-premise deployments, while still favored by many companies, are becoming less popular, especially as mobile workforces and remote teams are on the rise.

Cloud-Based

In contrast, cloud-based deployments store, manage and process information on public or private cloud servers hosted on the Internet. This infrastructure offers unique advantages of its own:

Benefits
  • Painless Implementation: What used to take months now takes days or even hours; integrating and deploying a cloud-based BI tool means that users can get their hands on the new tool much faster.
  • Scalability: Most cloud-based BI vendors allow customers to adjust, add or remove features and storage to their plans, allowing for ease and flexibility in scaling up or down as needed.
  • Always Accessible: When data is in the cloud, users can reach it anytime, anywhere, without needing to connect to an on-site server. Web-accessible BI solutions enable users to collaborate by sharing links instead of huge files.
  • Lower Cost of Entry: Cloud-based BI software often features monthly or annual subscription-based pricing plans, which allows smaller businesses to adopt BI without making a massive investment in capital.
  • Inclusive Service: When purchasing a SaaS BI tool, as the name would suggest, you’re not only paying for the software, but also the service. Vendors who provide cloud-based BI tools are responsible for maintaining the platform’s infrastructure, updates and resources; this allows your IT teams to focus on other tasks instead of server maintenance.

However, the cloud isn’t right for everyone. Consider these limitations:

Limitations
  • Security: Trusting the cloud with your proprietary data, which may include trade secrets, finances or other similarly private information, might not be a choice you’re comfortable making, especially as even tightly secured cloud-based systems can be susceptible to hacking.
  • Connectivity Issues: Having access to data wherever you have internet is great, but on the flip side of the coin, whenever you lose your internet connection, your connection to data will also be severed. The cloud isn’t perfect, and any lags or connectivity problems mean performance issues for your users.
  • Costs Add Up: A lower monthly payment sounds nice, but those costs can stack up quickly. The more licenses, modules and upgrades you need to purchase, the greater your monthly payment becomes.
  • Reliance on a Third Party: No matter what provider you choose, purchasing from a third party means that your access to data depends on their servers. If those go down, even temporarily, it can greatly affect your business.

Hybrid

Another option is a hybrid environment, which combines the flexibility and scalability of cloud BI with the security of on-premises solutions. Hybrid deployments can provide a best-of-both-worlds BI solution for companies looking to scale quickly, while still being mindful of security risks and maintenance costs.

Business Intelligence Tools Report

Expert recommendations and analysis on the top Business Intelligence Tools

Get free access now

Benefits

Benefits of BI Tools

While data connectivity, data management, reporting, data visualization, dashboarding and more are all essential features of BI tools that translate into tangible results, the true benefits of BI extend far beyond that. Implementing a BI solution enables users all throughout your company to:

Empower Organization-Wide Data Literacy

BI software revolutionizes how companies access insights. Instead of needing a specific IT team for analysis and reporting, companies can now implement business intelligence software that allow everyone to log in and quickly run ad-hoc reports, analyze their KPIs at a glance and share their findings with ease. Business intelligence transforms the world of data from highly technical, exclusive spaces to accessible BI platforms that anyone and everyone can utilize to get data-based answers to their questions. When all users are comfortable working with data, it not only allows employees at all levels of an organization to make data-driven decisions but also relieves the burden on IT departments, allowing them to focus on more strategic efforts.

Make Better Decisions

Everyone wants to make the decisions that will have the most impact on business, and BI is all about empowering users to do just that. Through real-time analysis, reporting, forecasting, predictive and prescriptive analysis, BI tools deliver actionable insights that guide businesses in improving their decision making. Companies can greatly increase operational efficiency and on-the-fly decision-making in this way, especially when users all throughout the organization have information at their fingertips. Business and the decisions tied to it are no longer confined to the office, and neither is BI. An excellent business intelligence platform will be compatible across all devices, including iOS and Android smartphones, tablets, and laptops, either through a native mobile app or responsive web design. Users should be able to remotely access most, if not all, business intelligence software from any network they are connected to.

See the Bigger Picture

Business intelligence software connects to and integrates with a plethora of data sources, and with big data and data mining, they can pull massive amounts of information from virtually anywhere for analysis, granting organizations the ability to get the most complete look at their business and operations possible. Another way that BI helps businesses literally see the bigger picture is through data visualizations that transform information into rich graphics that summarize metrics in an easily understandable snapshot format. Tables have their place in business reporting, but interactive data combined with useful and interesting visuals make information more consumable and actionable. Trends and connections that may go unnoticed in traditional reports can now be discovered with BI tools.

Find Answers Independently

When users have specific business questions, such as “How can I reduce my operating expenses?” or “Are we on track to meet our sales objectives this quarter?” - BI can help them find the answers. Through ad-hoc inquiries and analysis, interactive dashboards, filters and more, self-service business intelligence allows end users to design, deploy and publish their own reports and analyses. Because users have access to data anytime and anywhere through BI tools, they can leverage that data at will to tackle their individual problems and challenges efficiently without depending on resource-drained analysts and IT departments.

Anticipate the Future

Businesses don’t need crystal balls to see the future; all they need are BI solutions that have powerful predictive analytics features like forecasting, budgeting, scenario modeling, regression analysis, advanced statistical functionality and segmentation. With these tools, companies can simulate outcomes based on specific variables and use data modeling, statistical analysis and other mathematical functions to depict “what-if” scenarios and navigate potential obstacles.

Another way that modern BI tools help businesses prepare for the future is through augmented analytics. Machine learning algorithms that get smarter as they learn from your data as well as artificial intelligence that can prescribe advice on how to handle potential situations help businesses stay proactive, managing risks before they manifest and mitigating consequences should they arise.

Business Intelligence Tools Report

Expert recommendations and analysis on the top Business Intelligence Tools

Get free access now

Implementation Goals

When looking to make a purchase in BI software, it’s important to set goals to ensure successful implementation. While we’re providing some ideas for your own list of implementation goals, these will vary from business to business, depending on specific needs. To set your own implementation goals, we recommend conducting an internal evaluation of your current projects, resources and processes.

Goal 1

Integrate Seamlessly With Existing Systems

Connect to all existing and future data sources and technologies, combining and centralizing information from all different areas of the company. This provides businesses with a more holistic, complete view of their business.

Goal 2

Organize and Visualize Data

Translate data into graphs, charts and maps, among other graphics. When compiled into a dashboard or report, data is presented in a format that is shareable and easy to understand for all viewers, including stakeholders and executives.

Goal 3

Discover Deeper Insights

Analyze your data and interpret it into meaningful findings. Users can dig deeper to find the answers to their questions, through drill-down, sort and filter options. BI software goes beyond the numbers to add value to your data.

Goal 4

Make Better Decisions

Guide data-driven decision making. With the insights provided by BI software, your teams have the tools and resources to make more accurate, impactful decisions.

Goal 5

Stay Ahead of the Competition

Be proactive, not reactive. With real-time insights, predictive and prescriptive analytics, as well as AI and machine learning, modern BI should help you stay ahead of everyone else, including your own potential outcomes.

When evaluating business intelligence software, keeping implementation goals in mind will help you decide which features are required to accomplish those goals.

Business Intelligence Tools Report

Expert recommendations and analysis on the top Business Intelligence Tools

Get free access now

Basic Features & Functionality

Constructing a requirements list will provide a framework for determining which BI solution is the best fit for your company’s needs. While BI software vendors often advertise the newest, shiniest features they have to offer, identifying your basic functional requirements first sets a sound foundation for your software selection search.

Data Connectivity BI helps companies maximize the wealth of their data through data connectors and integrations. BI tools integrate with databases, datasets, files and systems of many varieties, whether in the cloud, in other platforms or on-premises, to ensure that they can analyze information from all sources.
Data Preparation Importing data is one thing, but turning it into something useful is another. BI software pulls, combines, transforms and stores data in ways that provide an accessible, single source of truth for all data analysis.
User Experience Data analytics may already be off-putting to many professionals, which is why choosing business intelligence tools that are not dependent on your IT department is crucial. Unless you are willing to employ a programming specialist whose only job is to run your BI software or you have a surplus of coders, it is best to invest in a software that gives the user full access without the knowledge of a programming language. BI software that ensures a smooth, consistently user-friendly experience across all devices and operating systems enables faster, more effective user adoption throughout an organization.
Data Visualization Users can design charts, graphs and visual aids that convert data into easy-to-understand insights. They can choose from various types of visualizations - like bar charts, pie charts, histograms, scatter plots and more - and customize these according to their preferences. Many tools also offer templates or auto-charting. Data visualization allows BI users to turn their data into narratives that others can easily consume and utilize.
Interactive Dashboards Digital dashboards are essential BI tools that bring together graphs and charts on a single part to provide a graphical summary of an organization’s current status and historical trends. Dashboards can be specialized, providing information about a certain facet of your business, or they can be generalized, giving your high-level executives a quick overview to facilitate their decision-making. With a configurable and real-time dashboard you can ensure the KPIs and metrics you reference frequently are always readily available. Users can often share dashboards with others to communicate information quickly and easily.
Reporting The best BI tools provide their users with plenty of options for generating reports that organize historical data to show how their business is performing at any time. As a prerequisite step to analysis, reporting collects and presents information in a way that users can see and understand their data, as well as act on it. BI tools with ad hoc reporting allow all users to create, design, edit and share their own reports, extracting relevant insights at will.
Accessibility Nearly half of all enterprises globally host their analytics on the cloud, as of 2020. Why is that? A major reason is greater accessibility. Hosting from the cloud not only allows users to stream data 24/7, but enables access from multiple devices and opens the door for mobile support and producing reports that can be effectively delivered to any device. The priority of velocity no longer applies to just the production of information, but access to it as well.
Security Every decent business intelligence solution will have security features like permissions parameters that executives or department leaders can set. This ensures that sensitive data cannot be accessed, transmitted or modified by any unauthorized personnel. Security and user administration, at a minimum, needs to include role-based authentication, support for selective workflow and resource assignments, and administrative control over auditing and traceability. Security also needs to include advanced authentication and verification techniques, as well as full backups of all data on a regular basis.
Business Intelligence Tools Report

Expert recommendations and analysis on the top Business Intelligence Tools

Get free access now

Advanced Features & Functionality

While not offered by every vendor, these advanced features are worth considering if your company has specific needs in terms of data analysis, accessibility and scalability. As they can greatly enhance and deepen the level of insights that a BI tool can deliver, take a look and see if these are features that your organization should include on your requirements list.

Data Mining Data mining is the technological advancement that makes BI solutions possible. The term refers to the process of computationally uncovering patterns and trends in large data sets that could not be analyzed by human effort. Particularly helpful for enterprises with massive blocks of big data, data mining accelerates many of the repetitive data preparation and data modeling processes in analytics.
Data Warehousing A data warehouse is a central repository for all or significant parts of the data an enterprise’s various business systems collect. Data warehouses are distinguished from databases in that they are dedicated to analytics, rather than the basic transactional queries that a traditional database would support. It is important you make sure the BI applications you are evaluating can accommodate the amount of data you anticipate storing.
Scalability and Extensibility If you’re investing in a BI solution, you don’t want it to be obsolete in a year. BI should be scalable — plan to implement software that will last at least ten years. As your technology tools and business needs are always evolving, your company needs business intelligence software that can accommodate these changes without interrupting the flow of business. A scalable BI platform can handle a growing workload by adding extra resources. Software that is extensible can add new features through coding or development. A good BI provider is one that frequently updates its existing platform and provides options for businesses to expand as they grow.
Embedded Analytics Embedded analytics allows a BI solution to be embedded into other kinds of software, extending analytical capabilities to a third-party platform. It integrates insights within an existing non-BI application through APIs and connectors. Embeddability is particularly valuable for software vendors looking to add insights to their offering without building an in-house analytics tool from scratch.
Natural Language Processing and Query Natural language processing (NLP) serves as a kind of translator that facilitates conversations between humans and machines. It allows users to ask questions in the same way they might address a colleague, receiving an answer in the form of a visualization or an explanation written through natural language generation (NLG). This makes insights more accessible to non-technical users.
Machine Learning and AI Artificial intelligence is becoming a new norm in BI as more and more vendors add and improve upon their augmented analytics technologies. Machine learning algorithms are pushing the boundaries of analytics to places they’ve never reached before. Automation is speeding up how humans analyze data, and modern BI solutions can return deeper, more valuable insights without human bias.
Mobile As the mobility of business all over the world increases, so does the need to make decisions on-the-go. Many BI solutions have a native mobile app or responsive web design, allowing users to log in and retrieve insights from anywhere, at any time, from any device.
Business Intelligence Tools Report

Expert recommendations and analysis on the top Business Intelligence Tools

Get free access now

Current Trends

Business Intelligence Trends

Proactive Over Reactive

While traditional, historical reporting explains “what happened,” modern BI looks to explain “why did it happen?” With advanced analytics and augmented analytics, we can now take a closer look at “what might happen?” and “what can we do about it?” BI software is moving away from historical reporting and towards forecasting and predictive analytics, shifting business decisions from reactive to proactive in nature. In addition, data proactivity means that as BI tools get smarter, instead of users going to find information, information will come and find users, bringing the answers directly to them.

Cloud-Based Tools

Across all industries, more and more businesses are looking to the cloud, with 54% of enterprises saying that cloud BI is either critical or very important to their current and future initiatives, according to Dresner Advisory Services’ 2020 Cloud Computing and Business Intelligence Market Study.

Importance of Cloud BI Software

We discussed earlier a few of the reasons why cloud-based solutions are attractive: lower capital investment and maintenance costs, greater flexibility and scalability as well as accessibility from the web. While not a one-size-fits-all solution, cloud-based BI tools are here to stay and grow in the years to come.

Augmented Analytics: AI + BI

BI is becoming increasingly intuitive and predictive. NLP and NLG make insights accessible to users of all technical skill levels, while machine learning algorithms deliver more relevant, personalized answers over time. With significant speed in data analysis processes, ML-enabled BI helps users make better decisions by analyzing past trends to make educated guesses about the future, as well as unearth potentially unknown or unconsidered relationships. Machine learning and AI will improve the way that users interact with BI tools, while leaving decision-making in the reliable hands of humans.

Commitment to a Data-Driven Culture

More and more businesses empowered with BI are seeking to commit to a data-driven culture, in which all employees and teams are involved in BI, integrating insights into the workflows. As BI software becomes more user-friendly, this growth is encouraging a more knowledgeable workforce that isn’t afraid to engage in data discovery. Businesses should look to invest in aligning all employees with their overarching priorities and goals, while educating everyone on how to use BI to accomplish those objectives. As more and more users become data-literate, BI platforms will also feature improved collaboration tools that allow for shared analytical experiences.

Business Intelligence Tools Report

Expert recommendations and analysis on the top Business Intelligence Tools

Get free access now

How To Begin Your Software Comparison

With so many features and vendors to consider, choosing the right BI solution among hundreds of options may seem daunting, but it doesn’t have to be. It all starts with outlining a clear series of objectives that encompass the core strengths of your business and laying down a solid framework based on your company’s needs.

We have some great resources to help you get started.You can gather your requirements into a checklist with our BI requirements template and then select and compare vendors against those requirements with a personalized scorecard and our in-depth BI software comparison report.

Cost & Pricing Considerations

When evaluating BI software, it’s important to keep your company’s budget in mind. Pricing depends on a variety of factors, including the deployment strategy, the number and type of user licenses required, as well as the modules and add-ons purchased. You can also consider support options and packages, if those are necessary. You should always carefully evaluate the cost of a BI solution before you buy it, either on the vendor’s site or by requesting it from the vendor themselves.You can also get our free BI pricing guide that will help you determine which top vendors align with your budget.

Business Intelligence Tools Report

Expert recommendations and analysis on the top Business Intelligence Tools

Get free access now

The Best Business Intelligence Software

Navigating the inundated market of BI solutions can be overwhelming. Check out our BI leaderboard, curated by the SelectHub analyst team; this list ranks the top performers today based on how well they deliver on the most essential requirements.

BI Tools Leaderboard

Power BI

Microsoft Power BI is a data analytics business intelligence software that derives business insights through reporting, data mining, data visualization and dashboarding. Its user-friendly interface simplifies data integrations, dashboard design and report generation. Originally born from Excel as an add-on, it now stands on its own as a fully-fledged BI platform that can fulfill the requirements of small businesses to large enterprises.

Power BI Mobile

Oracle Analytics Cloud

This AI-powered BI platform from Oracle provides robust reporting and data analytics, all from the convenience and availability of the cloud. Oracle Analytics Cloud prepares and analyzes data for trends, then turns that data into intuitive visualizations for users to explore and share. Its augmented analytics capabilities make actionable insights accessible for users of all technical skill levels.

Oracle Analytics Cloud

MicroStrategy

MicroStrategy is a data analytics BI platform that empowers organizations of all sizes with the intelligence necessary to make better decisions. It allows users to customize data visualizations and build personalized real-time dashboards. Due to its ease of use and scalability, it stands out as a leader in the enterprise analytics field.

Microstrategy Trends

Spotfire

TIBCO Spotfire is a comprehensive business intelligence and data discovery platform that provides in-depth analysis, colorful dashboards and robust reporting. Built to handle the needs of large enterprises, it delivers insights designed with the individual analyst in mind. Through advanced predictive analytics, users can stay on top of the future, wrangle data with ease and solve tough business problems.

TIBCO Spotfire

SAS Visual Analytics

SAS Visual Analytics provides quick answers to complex questions by pulling information from datasets of all sizes. Users of all technical skill levels gain visibility into insights through guided exploration, interactive dashboards, smart visualizations and self-service analytics. Built on a cohesive in-memory architecture, it promotes intelligent action driven by insight.

SAS Visual Analytics

To learn more about this shortlist and see how different features of these industry leaders compare, check out our in-depth BI software comparison matrix.

Business Intelligence Tools Report

Expert recommendations and analysis on the top Business Intelligence Tools

Get free access now

Questions to Ask Yourself

Questions to Ask About BI Tools

Selecting a business intelligence solution is a unique process for each organization, and what works best for one business may be totally wrong for another. To make matters worse, there are countless vendors on the market, each offering unique BI platforms. Fortunately, SelectHub is here to help. Ask yourself these questions as a starting point to properly evaluate BI tools in the context of your organization and its needs:

What challenges do you face now?

  • If you have a BI solution in place, what are you hoping to improve upon compared to your current system? If you don’t have one, what do you hope to gain by implementing business intelligence software?
  • What are your company’s current and future priorities?
  • Who will use the system and what are their must-have and nice-to-have features?
  • What problems are your users seeking to solve with your current BI platform or current lack of one?
  • What’s your budget? Are you overpaying for your current BI solution?
  • Do you have a lot of time to dedicate to using the BI tool to find your own answers, or would you prefer a tool that monitors your data for you and delivers regular alerts?

What kinds of technology do you or will you use?

  • What are your current business needs for a database? Are you expecting growth in future years, which will require your business intelligence software to be scalable?
  • What kind of database systems do you need to integrate with, e.g. SQL Server, MySQL, Amazon database servers, etc.?
  • How many users and data sources do you anticipate now and in the future, and what will the volume and complexity of the data be?
  • What devices will the business intelligence system need to run on throughout your company?
  • How will the system integrate with your current or future technologies?
  • How important is it that your BI tool has a native mobile application to keep users in the loop on-the-go?

How will the BI platform perform once deployed?

  • What does the business intelligence software offer in terms of collaboration, modeling and visualization features?
  • Will the BI platform be easy to use for technical and non-technical users alike?
  • How well will it replace or improve upon the functionalities of any existing BI solutions you have?
  • How much customization do you expect your business intelligence system will require before installation?
  • Do you have IT resources to help with deployment?
Business Intelligence Tools Report

Expert recommendations and analysis on the top Business Intelligence Tools

Get free access now

Questions to Ask Vendors

Vendor comparison based on requirements is a crucial component of the software selection process. Having a conversation with potential vendors can illuminate whether or not they satisfy your requirements. These conversations may include discussion of features and deployment options, as well as the chance to ask questions about how the business intelligence software and vendor can benefit your business.

Does the tool offer robust data integrations?

  • Does the BI platform connect to “XYZ data source that we use”?
  • Does the platform work with data warehouses?
  • How does it blend and prepare data for analysis?

How does the tool visually express data?

  • What's the workflow for creating a new dashboard and populating it with metrics and KPIs?
  • What kinds of visualizations can users create?
  • Are dashboards interactive with filters and drill-downs?
  • Are there pre-built templates available?
  • Can the tool deliver reports and dashboards easily understandable by business users, stakeholders and executives of your organization?
  • How can users share or collaborate on dashboards?

How will the BI tool grow with my business?

  • How scalable is your infrastructure?
  • What are the limitations on data capacity?
  • What upgrades are possible?
  • How easy is it to scale up or down?

Can users access data anytime, anywhere?

  • Is there a mobile app? If so, what devices are supported?
  • Is there a seamless user experience across all devices?
  • What features are and aren’t supported on mobile devices?
  • Is there offline data access?
  • Is there real-time access to data? If not, how regularly does data update?

What does the implementation process look like?

  • What support or training do you provide before, during and after installation?
  • Who are we able to contact if we encounter issues during implementation and what is the response time?
  • How long will implementation take, approximately?

How often does the vendor update their BI platform?

  • How often does the vendor release updates for the application?
  • Is there a continuous stream of new features and periodic updates to guarantee greater value over time from our investment?
  • How closely does the vendor consider user feedback in designing updates?

How does the vendor ensure customer success?

  • How will the vendor assist in user adoption?
  • What training options, documentation and resources are available to help end users learn how the business intelligence software works? Are they free and easy to understand?
  • How dedicated to customer support is the BI software provider? What support avenues do they offer (phone, live chat, email, ticket system, community forum, dedicated customer success representative)?
  • Are there on-site services included?
  • Does the vendor have a service-level agreement (SLA) that lays out the metrics by which service is measured?

In Conclusion

Choosing a business intelligence software provider is a task that should be given the utmost consideration. This buyer’s guide is meant to serve as a starting point to guide IT professionals who are tasked with making this decision in finding the top BI solution for their needs.

Business Intelligence Tools Report

Expert recommendations and analysis on the top Business Intelligence Tools

Get free access now

Top 10 Business Intelligence Tools Leaders by Analyst Rating

(of 269 products) GET THE IN-DEPTH REPORT
View ratings by:
Access and customize for FREE:
  1. Professional requirements in minutes
  2. Shortlist in seconds
  3. Pricing details included
Find the best Business Intelligence Tools for your unique needs
Get Started Right

3 minute completion time (on avg.)

269 Products found for

Business Intelligence Tools

Narrow down your solution options easily
Filters:
Clear Filters
Sort by:

Tableau

User Sentiment:
86%

Tableau is a data visualization and analytics business intelligence platform that assists users in making data-driven business decisions. It blends information from a wide range of sources to deliver actionable, real-time insights. It allows users of all skill levels to explore their data via intuitive means such as drag-and-drop filtering and natural language queries. Users can create dashboards and stories that effectively convey their business narratives. With ample customization and security options, it offers users control over data visualization.Users can purchase it as part of the Tableau Creator package, which includes the desktop version, Prep and a Creator license of the server or online version.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Power BI

User Sentiment:
86%

Microsoft Power BI is an analytics tool that assists in reporting, data mining and data visualization to provide business insights. Through its simple interface, users can connect to a variety of data sources and create their own dashboards and reports.Originally born from Excel as an add-on, it has since grown to stand on its own. At a relatively low cost, it fulfills the needs of users ranging from small business owners to enterprise operators. There are three versions: Desktop, which is available for free to any single user, an upgraded Pro plan offered on a monthly price-per-user SaaS subscription and a capacity-based Premium plan which provides enterprise-level insights with on-premise deployment and a dedicated cloud infrastructure.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Board

User Sentiment:
87%

BOARD is a robust business intelligence solution that offers users analytical insights, business analytics and enterprise performance management all under the same hood. It helps key players of a company improve the effectiveness of their decision making. Its customizable and interactive dashboards give users the ability to see a high-level overview of their business, as well as drill down into their KPIs to assess business performance goals. It serves mid to large companies across various industries, and its programming-free toolkit empowers users of all skill levels to analyze and plan with a tailored, efficient approach.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

QlikView

User Sentiment:
83%

QlikView is a data discovery and customer insight software tool from Qlik, a leader in the insight and intelligence space. It’s built to offer self-service data that can help drive decisions and generate significant ROI for users of any technical skill level. It offers several features, including its “pre-canned” dashboards — dashboards that are preconfigured for data analysis and interpretation. It has been built from the ground up to be affordable, scalable and adaptable. It can ingest data from diverse sources like big data streams, file-based data, on-premise or cloud data. It is well-known for its data associations and relationship functionality, keeping data in-context automatically. It delivers results quickly, via its patented in-memory data processing feature, allowing data to be processed down to as little as 10% of its original size.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Spark

User Sentiment:
n/a

Apache Spark is an open source unified analytics software for distributed, rapid processing. It distributes data across clusters in real time to produce market-leading speeds. It is rising in popularity in the space, catching up to its sister-offering, Hadoop, because of its quicker speeds and specific focus on optimizing processing performance and ability to stream data. It supports several coding languages, including Python, R, Scala, SQL and Java. It can function stand-alone, or be integrated into broader workflows easily.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

RStudio

User Sentiment:
90%

RStudio is an integrated development environment suite for the R programming language, synthesizing coding tools into one software tool for easier advanced data processing. Using in-memory processing, it is capable of parsing big data through integrations and connections. It is available in both open-source and commercial formats, with extra features available in the paid edition includes more sophisticated collaboration and security efforts. The free version is capable of end-to-end analytics, from API connectivity and data ingestion to visualization creation and distribution. It can be deployed standalone or on a web browser through connection to RStudio Server.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Qlik Sense

User Sentiment:
83%

Qlik Sense is a self-service data analytics software tool that enhances human intuition with the power of artificial intelligence to help users make better data-driven business decisions. User-friendly in its approach, it allows users to explore their data and create visually appealing visualizations from their insights with drag-and-drop simplicity. As the next-generation advancement of QlikView, released in 2014, it expands analytical possibilities to support the entire insights life-cycle and helps users modernize their approach to intelligence. It has two editions: Business and Enterprise, offered on a per-user annual subscription basis. Users can choose between a hosted SaaS public cloud or multi-cloud, on-premise or private cloud deployment.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Dundas BI

User Sentiment:
86%

Dundas BI is a powerful browser-based analytics solution that enables users to generate interactive dashboards, customize their visualizations, build reports and drill down into data. It is flexible and scalable, with a responsive design that lets users integrate data from any kind of source in real time.Accessible from any device, it functions on its own or users can embed it into other kinds of software.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Cognos Analytics

User Sentiment:
80%

IBM Cognos Analytics is a self-service, web-based analytics platform which empowers users of all skill levels to explore data through reporting, data analytics, KPI monitoring, events and metrics. Reports give users the ability to not just visualize their insights, but also share them with colleagues. It integrates with Watson Analytics, which leverages IBM’s artificial intelligence and natural language processing to make insights more accessible to non-technical users. It has various components which give additional functionality, flexibility and agility when processing large sets of data.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Looker

User Sentiment:
88%

Looker is a web-based analytics business intelligence product that offers users the ability to explore, discover, visualize and share data insights. Users can view data sources and drill down into data to better understand their business and metrics. Using a simple proprietary modeling language, this system lets users define data relationship while bypassing SQL. It facilitates data literacy and accessibility for users of all technical skill levels as well as data analysts. It was acquired by Google in mid-2019 for $2.9 billion.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Sisense

User Sentiment:
90%

Sisense is an end-to-end data analytics platform that makes data discovery and intelligence accessible to everyone via an embeddable, scalable architecture. With a back-end powered by in-chip technology, it allows analysts to blend large datasets from a variety of sources into a single cohesive database for the entire company. On the front-end, users of all technical skill levels can craft visualizations, reports and dashboards to explore and share insights that drive businesses forward.Designed for companies of all sizes, it can be deployed on-premises, as a private cloud-hosted SaaS, as a fully managed SaaS or via a hybrid strategy. It is available via annual subscription pricing and offered in three packages: its main offering BI Analytics Teams, its embedded analytics component Product Teams and code-driven cloud analytics through Cloud Data Teams.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Spotfire

User Sentiment:
87%

TIBCO Spotfire is a complete business intelligence and data discovery platform that can perform various functions, including in-depth analysis and robust visual reporting, all powered by artificial intelligence. It offers data streaming technology, which can support insights with AI, big data integration, integration with the Internet of things (IoT) and more.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Pentaho

User Sentiment:
75%

Pentaho Business Analytics serves customers of any size in all industries. It can be delivered in the cloud or as an embedded implementation. It’s built on open-source principles to leverage existing data against future data and has enough to offer users of any skill level.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Sisense For Cloud Data Teams

User Sentiment:
87%

Formerly known as Periscope Data, Sisense for Cloud Data Teams is a data analytics software tool that integrates seamlessly with the Sisense platform, offering advanced analytics that delivers actionable insights to teams that work with data in the cloud. It provides a single, cohesive interface for users to store, organize, analyze and visualize all their data for better decision-making. It empowers users of all kinds to produce, consume and share insights intuitively together, with or without coding knowledge. Originally founded in 2012 in San Francisco, California, it was acquired by Sisense in May 2019 and rebranded in January 2020.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

SAP Business Objects

User Sentiment:
78%

BusinessObjects from SAP offers a variety of packages to fit businesses of all industries and sizes. It aims to reduce the cost of IT upkeep and increase responsiveness to business problems. It streamlines workloads and lets users share insights to make better business decisions.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

ThoughtSpot

User Sentiment:
88%

ThoughtSpot offers analytics and insight capabilities to industries seeking a deeper understanding of their proprietary data in order to make data-driven business decisions. It focuses on giving nontechnical users access to processing and analytics, bringing the ease of a search function to enterprise-scale data analysis. It offers a powerful search engine integrated with in-memory computing for a consumer-class UI.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO
Call SelectHub for a free 15-minute selection analysis: 1-855-850-3850

Domo

User Sentiment:
86%

Domo is a cloud-based business management suite that accelerates digital transformation for businesses of all sizes. It performs both micro and macro-level analysis to provide teams with in-depth insight into their business metrics as well as solve problems smarter and faster. It presents these analyses in interactive visualizations to make patterns obvious to users, facilitating the discovery of actionable insights. Through shared key performance indicators, users can overcome team silos and work together across departments.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Logi Analytics

User Sentiment:
81%

Logi Analytics provides businesses with interactive data analytics and visualizations, offering advanced reporting and visualization features in a minimal-code environment. It offers self-service data analysis and data discovery; then connects and blends operational intelligence to prepare it; and finally lets users turn it into dashboards, reports and other visualizations.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Klipfolio

User Sentiment:
93%

Klipfolio is an analytics software tool that helps users wield data intelligently and confidently by building dashboards and reports that track KPIs and monitor trends. Users can glean insights from information across the organization collected in one convenient place and deploy interactive data visualizations that they can share with ease. It is available through an annual or monthly subscription to one of four plans: Publish, Grow, Team and Team+. The number of dashboards and users allowed, as well as the data refresh rate and level of support varies depending on the pricing plan selected.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

MicroStrategy

User Sentiment:
81%

MicroStrategy is a data analytics platform that delivers actionable intelligence to organizations of all sizes. It allows users to customize data visualizations and build personalized real-time dashboards. It leverages data connectivity, machine learning and mobile access to offer users comprehensive control over their insights. Due to its ease of use and scalability, it stands out as a leader in the enterprise analytics field. Users can choose between cloud, on-premise or hybrid deployment according to their needs.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Oracle Analytics Cloud

User Sentiment:
83%

This AI-powered business intelligence solution from Oracle provides robust reporting and analytics features to businesses of all sizes. It offers a strong selection of reporting and analytics features from the convenience of the cloud. Oracle Analytics Cloud prepares and analyzes data for trends, then turns that data into an intuitive visualization for users to explore and share. This helps users get a deeper understanding of a range of business questions as well as make accurate predictions and forecasts.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Infor Birst

User Sentiment:
76%

Infor Birst is a cloud-based analytics software tool that aims to help users discover insights without the need for analyst input. It unifies IT-managed enterprise data with user-owned data, supporting the blending of both in a top-down and bottom-up manner. It uses consistent business metrics to structure raw data into organized sets and visualizations. It helps users identify patterns and better understand their organization’s KPIs.It offers a seamless, integrated UI that allows users to perform every step of the data analysis process in a single interface, enabling a smooth experience. It can be deployed either from the cloud or self-hosted on-premise.Users can purchase it in three available formats: per-user fee, by department or business unit or by end-customer in embedded scenarios.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Zoho Analytics

User Sentiment:
83%

Zoho Analytics (formerly Zoho Reports) allows users to create visualizations and dashboards to present their data via a quick, easy, self-service model. It brings insight and analysis to an organization’s business data on-demand and without the need for IT assistance or data analysts through extensive automation efforts in several dimensions of the analytical process.Users can crunch huge datasets, clean and blend that data, perform various analytical tasks, and visualize the results in dynamic graphics to uncover insights. They can make data-informed business decisions in a stand-alone or embedded environment with support for mobile devices. It has flexible on-premise or cloud deployment models.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

BIRT

User Sentiment:
n/a

This open-source reporting tool from OpenText offers data exploration, visualization and collaboration. It can embed into a range of both web and client applications, and it works especially well with Java and Java EE-based solutions.It aims to meet users’ business intelligence needs by facilitating report creation. The charting engine lets users embed fully-integrated reports and charts into the report designer or into other applications.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

GoodData

User Sentiment:
83%

This powerful analytics software is a SaaS platform that combines, analyzes and visualizes the internal and/or external data of an organization in order to monetize. It aims to help businesses change the way they make decisions with a focus on data-driven best practices. Provides an embeddable, customizable business analytics and intelligence that lets users process data, analyze trends and create visualizations that present information in an easily-digestible format. Users can interpret these visualizations to draw insights and make intelligent business decisions.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Information Builders

User Sentiment:
89%

Business analytics from Information Builders enable business users to instantly identify the factors that impact their businesses, create more accurate forward-looking strategies, enhance efficiency, increase profitability, and improve customer satisfaction and loyalty. Boost decision making processes with business intelligence software that’s built for speed and versatility – BI applications support agile reporting with visualized data from well-designed BI dashboards. Online analytics processing help to refine the results of data warehousing and data mining activities, bringing together diverse BI and analytics data from various sources.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Jaspersoft

User Sentiment:
83%

Jaspersoft by TIBCO offers developer-level control of a flexible reporting and analytics infrastructure. It is designed to embed, design and manage reports generated on business data. Users can export analytics and reporting functionality and perform high-level analysis via a non-technical interface.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

SAS Visual Analytics

User Sentiment:
81%

SAS Visual Analytics offers fast answers to complex questions drawn from datasets of all sizes. It provides guided exploration, interactive dashboards, smart visualizations and self-service analytics to users of all technical skill levels, promoting data literacy and visibility. Its versatile, scalable design helps users make better business decisions based on data transparency. Built on a cohesive in-memory architecture, it promotes intelligent action driven by insight.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Pyramid Analytics

User Sentiment:
91%

Pyramid Analytics offers an enterprise-grade operating system which scales smoothly from single-user to organization-wide implementation. It’s OS agnostic and can be deployed in the cloud or on-premise. It promotes data literacy by allowing different levels of users to utilize different capabilities. It is designed to support an organization’s decision workflow end-to-end from self-service analytics to forecasting.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

JReport

User Sentiment:
92%

JReport by Logi Analytics empowers companies to perform data analysis and generate reports directly from other business software applications. It is scalable, customizable, fault-tolerant and works seamlessly within the interface of whatever web application it embeds into. It interfaces with any business software architecture and supports a range of embedding methods from the front and back ends.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Izenda

User Sentiment:
88%

Izenda is a business intelligence product that allows users to embed reporting and analytics capabilities into other applications. It monetizes data, promotes data literacy, offers insights and sets users up to make data-driven business decisions.From ad-hoc reports to ongoing insights, this software tool offers users a flexible range of data analysis features and visualization capabilities. It was designed for both developers and end users with a modern technology stack, flexible architecture and intuitive drag-and-drop interface.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Exago

User Sentiment:
93%

Embeddable, flexible and scalable, Exago is a BI solution designed to integrate with multi-tenant SaaS applications — no downloads or plug-ins required. Its open API and customizable UI gives admins total control over their application while enabling end users to analyze data through reports, dashboards and visualizations. It offers ad hoc and operational reporting, extensibility, and ease of use, and is built to scale with SaaS companies as they grow.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

WebFOCUS

User Sentiment:
89%

The WebFOCUS BI suite is a strategic intelligence product from Information Builders, built to help companies use their data more strategically. The tool is effective for medium to large-sized enterprises.Dashboards, scorecards, mobile business intelligence, guided ad hoc reporting, deep integrations with third-party programs, dynamic report distribution and much more, are included in the software. The system can be deployed in the cloud, or on-premise to meet user’s need.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

ClearStory Data

User Sentiment:
84%

ClearStory Data was acquired by Alteryx in 2019. Data access and analysis were once relegated to specialists, quants or statisticians. Today, competitiveness on the front lines of business is dictated by the speed of data access and the quality of informed decision-making. ClearStory Data’s end-to-end solution includes an integrated Spark-based data processing platform and an incredibly simple user application for business consumption of insights.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Datorama

User Sentiment:
82%

Datorama helps businesses handle their processing and analysis needs for data sets of any size and complexity. It is scalable and cloud-based for growth, access and convenience. Powered by Salesforce, it’s built to provide enterprise-grade intelligence and insights.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

icCube

User Sentiment:
n/a

IcCube is a Swiss-made Online Analytical Processing server focusing on embedded analytics and reporting for small- to large-sized companies. It produces real-time data, both retrospective and predictive. It includes an extract-transform-load (ETL) layer and allows for white-labeled dashboard creation. It is designed for big data and drill-down analytics, especially on sparse and high-dimensionality datasets.It's completely browser-based, with configurable dashboards that can be catered to any user’s screen and data needs. It can be embedded into 24/7 solutions or offered stand-alone with the option to deploy on-premise or in the cloud.

PRICE
$
$
$
$
$
DEPLOYMENT
COMPANY SIZE
S
M
L
PLATFORMS

Request with no obligation:

PRICEDEMO

Comparison of Business Intelligence Tools Leaders

GET THE IN-DEPTH REPORT

Advanced Analytics - Top 10

Supports advanced and sophisticated data manipulation and data analysis by using libraries and packages of Python and R programming languages.

Augmented Analytics - Top 10

Leverages Machine Learning (ML) automation to augment data profiling and data quality, harmonization, modeling, manipulation, enrichment, metadata development, and cataloging. It includes capabilities like automated matching, joining, profiling, tagging and annotating data prior to data preparation, sensitive attribute recognition, automating repetitive transformations and integrations, data quality and enrichment recommendation.

Dashboarding and Data Visualization - Top 10

Supports creating advanced and sophisticated visualizations, enables data to be presented as an animation, guides the users by suggesting the best suitable visualization for the graphical representation of the selected data, and five other functional requirements.

Data Querying - Top 10

Allows users to Batch Updates, perform Complex Queries, execute In-Memory Analysis, maintains a direct connection and five other key requirements.

Mobile BI - Top 10

Offers team collaboration features, mobile-optimized dashboards and reports, supports geospatial analysis on mobile devices, and six more key requirements.

Reporting - Top 10

Offers Ad-hoc Reporting, Auto-scheduling, Built-in Alerts, Canned/Managed Reports, Conditional Formatting, Interactive Reporting, and three more key requirements.

Data Sources Connectivity - Top 10

Connects to popular accounting platforms, various tools and platforms related to Big Data ecosystem and twenty more key requirements.

Security - Top 10

Maintains a record of administrative and user actions, provides encryption capabilities for stored data, and five other key requirements.

Best of 2020 - BI Software Awards

Compare these leaders

SelectHub analysts have spent over 2,000 hours evaluating over 300 business intelligence tools, ensuring we understand each software’s capabilities, strengths, and limitations.  From this, we recognize which BI software really lead the pack, and deliver the features and capabilities companies actually need, based on crowdsourced requirements from the SelectHub platform.

Below, are the awards given to the people behind those products.

Analyst Pick
Analyst's Pick Award
Presented to the top 10 BI products as determined from analysis of each product's capabilities.
Domo: Adam Landefeld - Senior Vice President of Product, Matt Chandler - Director of Product Management
Micro Strategy: Vijay Anand - Vice President, Product Marketing, Rich Rodgers - VP, Product Management
Oracle Analytics Cloud: Brendan Doyle - Senior Product Manager
Power BI: Nikhil Gaekwad - Senior Product Manager, Kim Manis - Principal Group Product Manager
SAS: Robby Powell - Advisory Product Manager, Amy Peters - Principal Product Manager
Sisense: Emily Arent - Customer Advocacy Lead
Tableau: Ellie Fields - Sr. Vice President of Product Development, Stephanie Richardson - VP, Product Marketing
TIBCO Spotfire: Tobias Lehtipalo - Senior Director of Product Management
Yellowfin: Brad Scarff - CTO
User Favorite
User Favorite Award
Awarded to products receiving a User Sentiment Score of Great or Excellent.
Board International: David A. Carlson - Sales Performance Management, Product Manager
Domo: Adam Landefeld - Senior Vice President of Product, Matt Chandler - Director of Product Management
Dundas BI: The Dundas R&D Team
Exago: Alexander Agoado - Director Of Product Management
Information Builders: Walter Blood - Director of Product Management and Support, Alan Dix - Director of Product Management
Looker: Jamie Davidson - VP Product, Steve Mahoney - Director of Product
Power BI: Nikhil Gaekwad - Senior Product Manager, Kim Manis - Principal Group Product Manager
Sisense: Emily Arent - Customer Advocacy Lead
Tableau: Ellie Fields - Sr. Vice President of Product Development, Stephanie Richardson - VP, Product Marketing
TIBCO Spotfire: Tobias Lehtipalo - Senior Director of Product Management
Augmented Analytics
Augmented Analytics Award
For excellence in developing cutting-edge Augmented Analytics capabilities.
Domo: Adam Landefeld - Senior Vice President of Product, Matt Chandler - Director of Product Management
Oracle Analytics Cloud: Brendan Doyle - Senior Product Manager
Power BI: Nikhil Gaekwad - Senior Product Manager, Kim Manis - Principal Group Product Manager
SAS: Robby Powell - Advisory Product Manager, Amy Peters - Principal Product Manager
Sisense: Emily Arent - Customer Advocacy Lead
TIBCO Spotfire: Tobias Lehtipalo - Senior Director of Product Management
Yellowfin: Brad Scarff - CTO
Advanced Analytics
Advanced Analytics Award
Board International: David A. Carlson - Sales Performance Management, Product Manager
Domo: Adam Landefeld - Senior Vice President of Product, Matt Chandler - Director of Product Management
Dundas BI: The Dundas R&D Team
Information Builders: Walter Blood - Director of Product Management and Support, Alan Dix - Director of Product Management
Micro Strategy: Vijay Anand - Vice President, Product Marketing, Rich Rodgers - VP, Product Management
Oracle Analytics Cloud: Brendan Doyle - Senior Product Manager
SAS: Robby Powell - Advisory Product Manager, Amy Peters - Principal Product Manager
Yellowfin: Brad Scarff - CTO
Data Visualization
Data Visualization Award
Domo: Adam Landefeld - Senior Vice President of Product, Matt Chandler - Director of Product Management
Dundas BI: The Dundas R&D Team
Micro Strategy: Vijay Anand - Vice President, Product Marketing, Rich Rodgers - VP, Product Management
Oracle Analytics Cloud: Brendan Doyle - Senior Product Manager
Power BI: Nikhil Gaekwad - Senior Product Manager, Kim Manis - Principal Group Product Manager
SAS: Robby Powell - Advisory Product Manager, Amy Peters - Principal Product Manager
Sisense: Emily Arent - Customer Advocacy Lead
Tableau: Ellie Fields - Sr. Vice President of Product Development, Stephanie Richardson - VP, Product Marketing
Yellowfin: Brad Scarff - CTO
Reporting
Reporting Award
Board International: David A. Carlson - Sales Performance Management, Product Manager
Dundas BI: The Dundas R&D Team
Information Builders: Walter Blood - Director of Product Management and Support, Alan Dix - Director of Product Management
Micro Strategy: Vijay Anand - Vice President, Product Marketing, Rich Rodgers - VP, Product Management
Oracle Analytics Cloud: Brendan Doyle - Senior Product Manager
Power BI: Nikhil Gaekwad - Senior Product Manager, Kim Manis - Principal Group Product Manager
SAS: Robby Powell - Advisory Product Manager, Amy Peters - Principal Product Manager
Sisense: Emily Arent - Customer Advocacy Lead
Tableau: Ellie Fields - Sr. Vice President of Product Development, Stephanie Richardson - VP, Product Marketing
Yellowfin: Brad Scarff - CTO
Data Querying
Data Querying Award
Dundas BI: The Dundas R&D Team
Information Builders: Walter Blood - Director of Product Management and Support, Alan Dix - Director of Product Management
Looker: Jamie Davidson - VP Product, Steve Mahoney - Director of Product
Oracle Analytics Cloud: Brendan Doyle - Senior Product Manager
Power BI: Nikhil Gaekwad - Senior Product Manager, Kim Manis - Principal Group Product Manager
Sisense: Emily Arent - Customer Advocacy Lead
Tableau: Ellie Fields - Sr. Vice President of Product Development, Stephanie Richardson - VP, Product Marketing
Yellowfin: Brad Scarff - CTO
Security
Security Award
Domo: Adam Landefeld - Senior Vice President of Product, Matt Chandler - Director of Product Management
Micro Strategy: Vijay Anand - Vice President, Product Marketing, Rich Rodgers - VP, Product Management
Oracle Analytics Cloud: Brendan Doyle - Senior Product Manager
Power BI: Nikhil Gaekwad - Senior Product Manager, Kim Manis - Principal Group Product Manager
Yellowfin: Brad Scarff - CTO
Mobile BI
Mobile BI Award
Board International: David A. Carlson - Sales Performance Management, Product Manager
Information Builders: Walter Blood - Director of Product Management and Support, Alan Dix - Director of Product Management
Micro Strategy: Vijay Anand - Vice President, Product Marketing, Rich Rodgers - VP, Product Management
Oracle Analytics Cloud: Brendan Doyle - Senior Product Manager
Power BI: Nikhil Gaekwad - Senior Product Manager, Kim Manis - Principal Group Product Manager
SAS: Robby Powell - Advisory Product Manager, Amy Peters - Principal Product Manager
TIBCO Spotfire: Tobias Lehtipalo - Senior Director of Product Management
Connectivity
Connectivity Award
Domo: Adam Landefeld - Senior Vice President of Product, Matt Chandler - Director of Product Management
Micro Strategy: Vijay Anand - Vice President, Product Marketing, Rich Rodgers - VP, Product Management
Power BI: Nikhil Gaekwad - Senior Product Manager, Kim Manis - Principal Group Product Manager
Sisense: Emily Arent - Customer Advocacy Lead
TIBCO Spotfire: Tobias Lehtipalo - Senior Director of Product Management

Price Guide

See the Price/User for the top business intelligence tools… plus the most important considerations and questions to ask when shopping.

Real People... with Data

We know selecting software can be overwhelming. You have a lot on the line and we want you to make your project a success, avoiding the pitfalls we see far too often.

As you get started with us, whether it be with Software Requirements templates, Comparing, Shortlisting Vendors or obtaining that elusive Pricing you need; know that we are here for you.

Our Market Research Analysts will take calls, and in 10 minutes, take your basic requirements and recommend you a shortlist to start with.