Business Intelligence Software Tools Comparison

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Business Intelligence Tools Buyer's Guide

Last updated on February 20th, 2020

The Best Business Intelligence Tools Give Users Actionable Knowledge Through Data

Smart business software is smart business. Business Intelligence tools help users optimize their business practices by making data-driven decisions. It collects, organizes, visualizes and extrapolates data taken from your organization’s operations to explore trends and make predictions. BA is an offshoot of business intelligence focusing on how to apply your findings from your data.

Executive Summary

  • The best Business Intelligence software gives businesses a competitive edge when making decisions by offering proven data
  • With the insights gained from Business Intelligence, companies can make better decisions to increase sales, improve operations and become more profitable.
  • Before selecting BA software, you need to form a checklist of requirements and questions to vet vendors from your list of Business Intelligence software
  • Business Intelligence is a rapidly growing industry that will have a significant impact on your organization if properly implemented

Business Intelligence software benefits provide a range of useful functions for your organization. Here are just a few:

  • Helps users measure operational, financial and selling performance against their goals
  • Allows you to gain greater insight into why customers buy which products and when
  • Determines the best possible marketing campaigns and promotions to increase sales
  • Helps users find out which customers are most and least likely to buy a new product
  • Helps sales reps successfully upsell and cross-sell customers on products
  • Get a steady stream of descriptive statistics on operations performance of a company
  • Predicts when machines will need to be repaired and spare parts ordered
  • Determines the best possible price for a product given its competitors and market demand
  • Tracks supply chain performance to see what’s working and what isn’t
  • Tracks supplier quality levels with dashboards and discovers which are the best
  • Helps users better manage selling and distribution networks by offering greater visibility into sales
  • Predicts the optimal price for services
  • Improves eCommerce and online selling strategies by providing the best mix of products
  • Helps sales teams meet their quotas by understanding where they need to focus
  • Improves customer satisfaction by measuring which services programs are working and which aren’t

Business Intelligence is Big Business

The global Business Intelligence software and services worldwide revenues will grow from nearly $122 billion in 2015 to more than $187 billion in 2019, an increase of more than 50 percent over the five-year forecast period according to International Data Corporation. Just the cloud-based Business Intelligence market size will be worth $4 billion in 2017, growing at a faster compound annual growth rate than the rest of the market through 2019.

Analytics is quickly progressing beyond providing a rear-view mirror of what happened in the past to companies and provides a more predictive glimpse into the future. There are a wide variety of solutions, and all of them share a common set of Business Intelligence features that enable them to provide descriptive, predictive, prescriptive and cognitive analytics.

The most advanced enterprise analytics software includes support for Big Data analytics that relies on large-scale data sets. Some are already supporting machine learning algorithms that seek to find the best possible answer to complex business questions, often hidden in these large-scale data sets. The entire area of Business Intelligence is proliferating today, and there is an abundance of innovation in this field, so be sure to evaluate more than just a handful of Business Intelligence vendors when choosing a solution.

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Business Intelligence Software Implementation Goals

Improve Business Performance with Greater Insights Business Intelligence can provide a wide range of ways to view your company’s operations, ranging from descriptive statistics to suggestions for how best to optimize the performance of your supply chain. Analytics can also provide useful insights into how your overall business is functioning from a financial standpoint, showing how production is impacting revenue, costs and profits. There is a wide variety of Business Intelligence in use today, limited only by the types of measurements of performance (sometimes called metrics or KPIs) that are available in Business Intelligence systems.
Better Understand and Serve Customers Imagine being able to understand who your customers are, what they are buying, why and when they will buy again, and then predicting which approaches will work best to service them? Business intelligence and analytics applications are capable of providing all these insights about customers in addition to helping businesses understand what their ideal customer is. The best predictive analytics tools, part of Business Intelligence, build propensity models that provide insights into customers’ intentions and behaviors, helping companies define the best possible approach to selling more and delivering more value.
Know Which Areas of Your Business to Improve First

Every business has areas of strength and weakness, and analytics are very powerful in understanding which of the areas any company needs to improve. Often, senior management has rough data or evidence that a given area is in trouble. But Business Intelligence can take that intuition and evidence of a problem, pinpoint exactly what is wrong, and provide insights into how best to fix it, making data-driven decisions a reality.

This is how Business Intelligence can revolutionize a company and help maintain its profitability, generating revenue over time. Senior management teams often use Business Intelligence to track areas they suspect may be struggling. It is common for senior management teams to regularly review metrics and KPIs of these areas and make sure overall company performance is on track. In this way, Business Intelligence becomes an early warning system to senior management regarding given areas needing attention, working to reduce inefficiency and mistakes.

See How One Area of Your Business Impacts the Other

For many companies, it’s easy to get into a siloed view of each area of the business without seeing how each area impacts the other. Current accounting and reporting systems in many companies reinforce this siloed view of business, making it that much more difficult to see how tradeoffs impact various sides of the business. Business Intelligence that can span across departments, divisions and processes are enabling a more accurate view of overall company performance that was not possible before.

Advanced Business Intelligence applications also are capable of providing customized metrics and KPIs for tracking individual process performance. Management teams use these to track specific processes that rely on the orchestration of several departments. An example of this is tracking order management and fulfillment and then determining how this process can be improved by automating and streamlining reporting from each department involved.

Predict How Successful Programs and Products Will Be Often, companies launch products or new programs and are not completely sure if they will succeed or not. By combining Business Intelligence and market research techniques, companies can find out which programs and products have the greatest probability of success. This is critically important from a business operations standpoint, as having this information generated from Business Intelligence can help define forecasts for suppliers, determine how best to scale the company to manage the impact of the programs and products’ activity, and help plan further strategic steps.
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Key Business Intelligence Software Features to Consider

Self-Service Data Preparation Advanced Business Intelligence solutions are beginning to shift from catering to IT to focus on business analyst needs. One of the most powerful benefits coming out of that shift is the jump in self-service business intelligence and data preparation workflows and usability. This area is flourishing right now in business intelligence and Business Intelligence and will continue to grow as open-source programming languages including AngularJS become more pervasively adopted. All of this is very good news for companies looking at new Business Intelligence apps as the usability continues to improve and interactive visualization tools and views become standard.
Natural Language Query and Search The largest vendors in the BA space already have this capability, while the mid-tier and smaller Business Intelligence companies are investing in creating or partnering with companies that offer this functionality. This is critically important for organizations that have a wide variety of data sets based on complex, distributed business models comprised of hundreds or thousands of products. For service-based businesses, this is also essential as it can drastically reduce the time it takes to complete queries.
Ease of Use and Responsive Design, Including Dashboards As business intelligence and analytics vendors have shifted their emphasis on application design to the needs of Business Intelligence first, ease of use and support for responsive application designs that scale for any device is now a reality. AngularJS, HTML5 and advanced programming languages that Business Intelligence vendors are using today ensure that mobile, tablet and laptop application performance will be fast, accurate and customizable to your needs. Be sure to ask to see product demos about creating a dashboard, metrics, key performance indicators (KPIs) and workflows for tracking common business processes. Also, ask to see the demo run on a smartphone, and that will show just how responsive the design is for the Business Intelligence app you are evaluating. The bottom line is that the workflows should all be orchestrated to a common series of dashboards that can quickly be updated through inbound data integration streams, ensuring you have an accurate, up-to-date view of your business.
Ease of Cloud and Legacy Data Integration The key to getting the most value out of a Business Intelligence application is the support it provides for integrating with cloud and legacy-based databases, datasets and systems. Cloud-based Business Intelligence vendors often rely on a set of application programming interfaces (APIs) to enable more efficient integration of their platforms and applications with the cloud, legacy and third-party applications. If your company has a wealth of data and is also using cloud-based, legacy on-premise and third-party data, be sure to ask your Business Intelligence vendor if they have an API strategy in place. This area is pervasively covered in high-end Business Intelligence platforms. It is also referred to as Extract-Transform-Load (ETL), where the Business Intelligence application extracts data from databases, cloud, legacy on-premise and third-party systems.
Cadence of Application Updates The level of innovation intensity in Business Intelligence today is unlike any other area of cloud and enterprise software today. True cloud-based Business Intelligence products will have quarterly releases, achieving a cadence of four releases a year. It’s becoming so competitive that on-premise Business Intelligence vendors have to issue more updates to their applications to stay in step with their cloud competitors. This competitive dynamic between cloud-based and on-premise vendors benefits end-users because there is a continuous stream of new features. A true cloud-based Business Intelligence vendor will have four major releases a year and also provide you with periodic updates that deliver even greater value.
Customer Service and Support There needs to be an escalation path provided by support accessible online, in addition to a knowledge base that provides responses to common questions. Ideally, there also needs to be remote automated agents on the website of the Business Intelligence vendors you’re considering. Data analytics software tools are becoming increasingly self-service oriented, with vendors hoping their applications will be as intuitive as possible. In complex scenarios including integration and ETL, it’s imperative to get support and guidance.
Security and User Administration Cloud-based Business Intelligence vendors often have more robust security models than their on-premise counterparts, and the latter are easier to hack while on a company’s internal systems. 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.
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How to Perform a Business Intelligence Software Comparison

Selecting the best possible Business Intelligence system for your company needs to begin with a clear series of objectives that encompass the core strengths of your business from an analytics and reporting perspective. Analytics has the potential to revolutionize the performance of any company, so it’s important to get started with a solid set of questions and a framework to determine which Business Intelligence platform, solution or application is best for your needs. There are hundreds of Business Intelligence providers selling systems today. The process can seem daunting, but there are some great resources below to help you gather requirements, compare Business Intelligence software vendors and find the perfect fit for your organization.

Business Intelligence Software Requirements Gathering

Every business has a special set of needs, so the first step in a software selection project is to create a checklist of what your company needs most from a Business Intelligence system. There are hundreds of criteria to choose from, but the framework can be broken up into five main categories:

Analytics Dashboards

All Business Intelligence applications today include support for basic dashboards, yet the most valuable have the flexibility to define metrics or measures of performance that are specific to your business. Ask to see how dashboards can be shared in a secured area of the application and check to make sure the dashboards support responsive design, meaning it is optimized to look and function correctly on any device. Analytics dashboards are often bundled with advanced data visualization tools as well.

Data Source Connectivity Including API Support

This is critically important for scaling a business application and enabling it to meet as many unique needs as possible. The greater the number of integration points supporting a Business Intelligence system, the higher the potential for a positive return on investment. Data source connectivity and API integration also need to focus on how the data will be imported from the legacy third-party systems to the Business Intelligence application. Often, there are shell scripts created that regularly query a specific location or subdirectory and move files into the Business Intelligence application working directories. Advanced technologies include ETL, where data is extracted from individual files.

Interactive Visual Exploration

Best-in-class Business Intelligence applications include interactive visual exploration functionality that makes it possible to query datasets and navigate through their representations in real time. For companies that have thousands of products in their catalog, this is a must-have feature as it allows for aggregation and easier analysis of product sales data. Interactive visual exploration is also used to complete contextual analysis of data sets and present them in meetings to simplify complex concepts. As companies using Business Intelligence mature, this business analytic feature becomes increasingly important.

Self-Service Data Preparation

Preparing data for use in any Business Intelligence application needs to be self-service. This will drastically reduce the time required to populate dashboards and glean value from data. The shift away from building Business Intelligence applications for IT to manage them so business analysts can get work done quickly is also fueling more support for self-service data preparation. From the relatively simple routines of importing data files to more advanced ETL workflows, Business Intelligence applications are often differentiated by how pervasively they support this feature. It is a must-have in any enterprise that utilizes legacy systems and databases that need to be included in the Business Intelligence application.

Data Security and User Administration

Being able to define security rights by role is fundamental within any Business Intelligence application today. At a minimum, there needs to be support for creating role-based access and defining profiles for various types of Business Intelligence software users. The administration function also needs to support the customization of each user’s online experience, in addition to defining which features will be enabled for each user. There needs to be auditing and traceability of system events on the control panel as well, including support for configuring third-party add-on modules or applications that are needed. All of these functions will ideally be cloud-based in order to enable administrators to manage a broad base of users quickly and without constraints.

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Questions to Ask During Business Intelligence Demos

First, it’s important to address your organization’s needs from a BA system. Here are some questions to ask yourself when choosing business analytic tools:

  • How could your current approach to managing data reporting and Business Intelligence be improved?
  • What are the biggest challenges you face with your existing approach to data reporting and Business Intelligence?
  • Which metrics and KPIs have you been looking into that you would like to include in your new data reporting and Business Intelligence system?
  • What’s the current budget for your Business Intelligence system and what’s the operating budget?
  • Is your company considering an on-premise or cloud-based Business Intelligence system?
  • What devices will the Business Intelligence system need to run on throughout your company?
  • Are you considering having dashboards shareable by role across the executive and management teams of your company?
  • How much customization do you expect your Business Intelligence system will require before installation?
  • What support or training will the vendor provide during and after installation?

You should also have key questions and concerns for vendors prepared beforehand to ensure you understand what each different BA system can do for you, as well as if it fits your needs. Here are some questions and expectations to present a vendor:

What's the workflow for creating a new dashboard and populating it with metrics and KPIs?

This workflow will show how effective the Business Intelligence system is at producing the most commonly used area of any Business Intelligence system: the dashboard. Be sure to ask for specifics of how metrics, KPIs and information sources are integrated into the dashboard workspace, what the latency or speed of updates are, and how dashboards can be modified in the future to support new metrics.

How can I publish analytics content without paying more?

Instead of paying for an extra module or feature to print from your Business Intelligence application, ask to see the baseline app produce all the reports you need. There is a wide variety of publishing options for Business Intelligence reporting tools today, and it’s best to make sure every report option and potential workflow are covered in a product demo before you purchase the application. It’s also a good idea to check and make sure the Business Intelligence system supports responsive design so it can scale across every device, delivering excellent performance on each.

How does interactive visualization work and does it require additional software?

This is an area where the majority of Business Intelligence applications are attempting to differentiate themselves by building in basic interactive visualization capability. Ask to see a demo of what the baseline application can provide, but also ask about what additional modules or add-ons are required to get advanced data visualizations. Also, ask if the demo can include your company’s data to see how and if this feature of Business Intelligence will deliver value to your company.

Does the software integrate data from multiple departments?

When you can combine information from different areas of the business, you can analyze factors like how much the latest new product development costs and how they are impacting revenues and profits. Using Business Intelligence, it will be possible to view the impact of business strategies across all operations. Ask to see a demo of how the new product development and launch process can be tracked in the business applications you are interested in.

Will it grow with my business?

If you’re investing in a Business Intelligence system, you don’t want it to be obsolete in a year. Plan to implement software that will last at least ten years. The Business Intelligence system you select for your business needs to be scalable. Find out what the limitations are on the scale and reporting capabilities of your system so you can make the best decision about whether the software is right for you.

Final Word

Choosing a Business Intelligence software provider is a task that should be given serious consideration.  This data analytics software comparison is meant to be used as a starting point and tutorial to guide IT professionals who are tasked with making this decision toward finding the top Business Intelligence software for their needs. Check out our pricing guide to find out which BA vendors are in your price range.

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Tableau

User Sentiment:
86%

Tableau is a data visualization and analytics solution 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.

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Board

User Sentiment:
87%

BOARD is a robust 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.

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Power BI

User Sentiment:
87%

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.

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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.

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Looker

User Sentiment:
88%

Looker is a web-based analytics solution 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.

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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.

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Cognos Analytics

User Sentiment:
80%

IBM Cognos is a self-service, web-based analytics platform from IBM. Cognos provides a number of standard features, such as reporting, analytics, monitoring, events and metrics.Cognos has various software components which give the core software additional functionality. Components such as Cognos Framework Manager, IBM Cognos Cube Designer and IBM Cognos Transformer give the software flexibility as well as agility when processing large sets of data, and reporting. The report gives users the ability to not just visualize their insights, but share them among colleagues.

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Oracle Analytics Cloud

User Sentiment:
83%

This AI-powered 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.

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QlikView

User Sentiment:
83%

QlikView is a data discovery and customer insight platform 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. QlikView is well-known for its data associations and relationship functionality, keeping data in-context automatically. Results are delivered quickly via its patented in-memory data processing feature, allowing the data to be processed down to as little as 10% of its original size.

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Dundas BI

User Sentiment:
86%

Dundas BI is a powerful browser-based business intelligence solution from Dundas Data Visualization. It offers users the capability to generate interactive dashboards, customize their visualizations, build reports and drill down.The responsive design lets users flexibly integrate data from any kind of source in real-time. Released in 2014, it combines BI and business analytics capabilities into a scalable solution accessible from any device. Dundas BI can be used as a standalone system or embedded into other kinds of software.

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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.

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Spotfire

User Sentiment:
87%

TIBCO Spotfire is TIBCO’s complete business intelligence and data discovery platform. Performs various functions, including in-depth analysis and robust visual reporting, all powered by artificial intelligence. This program supports insights with AI, big data integration, integration with the Internet of Things (IoT) and more through its streaming technology.

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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.

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Sisense For Cloud Data Teams

User Sentiment:
87%

Formerly known as Periscope Data, Sisense for Cloud Data Teams is a data analytics solution 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.

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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.

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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. This system brings 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.

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Qlik Sense

User Sentiment:
83%

Qlik Sense is a self-service data analytics platform 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.

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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.

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Klipfolio

User Sentiment:
93%

Klipfolio is an analytics platform 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.

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RStudio

User Sentiment:
90%

RStudio is an integrated development environment suite for the R programming language, synthesizing coding tools into one platform 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.

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Infor Birst

User Sentiment:
76%

Infor Birst is a cloud-based analytics solution 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.

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Chartio

User Sentiment:
89%

Chartio is a cloud-based data analytics solution founded with the mission to make data accessible to anyone. It allows users to blend and process data from numerous sources into a single operational database and write queries through a drag-and-drop visual SQL interface. Via self-service analysis, it empowers users to discover actionable insights that provide answers to their questions. Its data visualizations and interactive dashboards help drive data-informed decision making. It is available on a per-user monthly subscription basis, with three tiers of pricing: Startup, Growth and Premium.

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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.

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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.

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GoodData

User Sentiment:
84%

This powerful analytics solution 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.

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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 business intelligence dashboards. Online analytics processing help to refine the results of data warehousing and data mining activities, bringing together diverse business intelligence and analytics data from various sources.

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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.

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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.

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Pyramid Analytics

User Sentiment:
91%

Pyramid 2018 from 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.

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JReport

User Sentiment:
93%

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.

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Izenda

User Sentiment:
88%

Izenda is a software solution 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 solution 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.

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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.

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WebFOCUS

User Sentiment:
92%

The WebFOCUS BI suite is a strategic intelligence product from Information Builders, built to help companies use their data more strategically. The product 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 product. The system can be deployed in the cloud, or on-premise to meet user’s need.

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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.

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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.

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SPSS Text Analytics

User Sentiment:
86%

The Statistical Package for the Social Sciences, also known as IBM SPSS, was developed by three Stanford students in 1968 and acquired by IBM in 2009. It specializes in text analysis for surveys and helps users transform unstructured text information into quantitative data in order to gain insights. It uses sentiment analysis and natural language processing queries to categorize responses, draw conclusions and integrate results with other survey data.

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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, Gary Gibb - Director, Product Management
Information Builders: Walter Blood - Director of Product Management and Support, Alan Dix - Director of Product Management
Micro Strategy: Vijay Anand - Vice President, Product Marketing, William Van Zandt - 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: Lori Witzel - Director, Product Marketing, 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: Ed Gromann - VP, Partner Channel, Alliances and Analyst Relations, Cristina Lepore - Marketing Director, Americas
Domo: Adam Landefeld - Senior Vice President of Product, Gary Gibb - Director, 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: Lori Witzel - Director, Product Marketing, 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, Gary Gibb - Director, 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: Lori Witzel - Director, Product Marketing, Spotfire, Tobias Lehtipalo - Senior Director of Product Management
Yellowfin: Brad Scarff - CTO
Advanced Analytics
Advanced Analytics Award
Board International: Ed Gromann - VP, Partner Channel, Alliances and Analyst Relations, Cristina Lepore - Marketing Director, Americas
Domo: Adam Landefeld - Senior Vice President of Product, Gary Gibb - Director, 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, William Van Zandt - 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, Gary Gibb - Director, Product Management
Dundas BI: The Dundas R&D Team
Micro Strategy: Vijay Anand - Vice President, Product Marketing, William Van Zandt - 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: Ed Gromann - VP, Partner Channel, Alliances and Analyst Relations, Cristina Lepore - Marketing Director, Americas
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, William Van Zandt - 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, Gary Gibb - Director, Product Management
Micro Strategy: Vijay Anand - Vice President, Product Marketing, William Van Zandt - 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: Ed Gromann - VP, Partner Channel, Alliances and Analyst Relations, Cristina Lepore - Marketing Director, Americas
Information Builders: Walter Blood - Director of Product Management and Support, Alan Dix - Director of Product Management
Micro Strategy: Vijay Anand - Vice President, Product Marketing, William Van Zandt - 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: Lori Witzel - Director, Product Marketing, Spotfire, Tobias Lehtipalo - Senior Director of Product Management
Connectivity
Connectivity Award
Domo: Adam Landefeld - Senior Vice President of Product, Gary Gibb - Director, Product Management
Micro Strategy: Vijay Anand - Vice President, Product Marketing, William Van Zandt - VP, Product Management
Power BI: Nikhil Gaekwad - Senior Product Manager, Kim Manis - Principal Group Product Manager
Sisense: Emily Arent - Customer Advocacy Lead
TIBCO Spotfire: Lori Witzel - Director, Product Marketing, Spotfire, Tobias Lehtipalo - Senior Director of Product Management

Price Guide for Business Intelligence Software

See the Price/User for the top BI Software… plus the most important considerations and questions to ask when shopping for Business Intelligence Tools.

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