Business Analytics Tools Buyer's Guide
The Best Business Analytics Software Gives Users Actionable Knowledge Through Data
By: Louis Columbus, Technology Author and Expert
Smart business software is smart business. Business analytics software helps 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.
- The best business analytics software gives businesses a competitive edge when making decisions by offering proven data
- With the insights gained from business analytics, 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 analytics software
- Business analytics is a rapidly growing industry that will have a significant impact on your organization if properly implemented
Quick Navigation of This Guide
See how the best Business Analytics software leaders fare against the most common key requirements
Business analytics 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 Analytics is Big Business
The global business analytics 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 analytics 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 analytics 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 analytics 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 analytics vendors when choosing a solution.
Expert recommendations and analysis of the top Business Analytics Software
Business Analytics Software Implementation Goals
|Improve Business Performance with Greater Insights||Business analytics 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 analytics in use today, limited only by the types of measurements of performance (sometimes called metrics or KPIs) that are available in business analytics 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 analytics, 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 analytics 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 analytics can revolutionize a company and help maintain its profitability, generating revenue over time. Senior management teams often use business analytics 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 analytics 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 analytics 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 analytics 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 analytics 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 analytics 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.|
Expert recommendations and analysis on the best Business Analytics Software
Key Business Analytics Software Features to Consider
|Self-Service Data Preparation||Advanced business analytics 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 analytics 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 analytics 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 analytics 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 analytics 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 analytics 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 analytics 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 analytics application is the support it provides for integrating with cloud and legacy-based databases, datasets and systems. Cloud-based business analytics 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 analytics vendor if they have an API strategy in place. This area is pervasively covered in high-end business analytics platforms. It is also referred to as Extract-Transform-Load (ETL), where the business analytics application extracts data from databases, cloud, legacy on-premise and third-party systems.|
|Cadence of Application Updates||The level of innovation intensity in business analytics today is unlike any other area of cloud and enterprise software today. True cloud-based business analytics products will have quarterly releases, achieving a cadence of four releases a year. It’s becoming so competitive that on-premise business analytics 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 analytics 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 analytics vendors you’re considering. Data analytics software is 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 analytics 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.|
Expert recommendations and analysis of the top Business Analytics software
How to Perform a Business Analytics Software Comparison
Selecting the best possible business analytics 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 analytics platform, solution or application is best for your needs. There are hundreds of business analytics providers selling systems today. The process can seem daunting, but there are some great resources below to help you gather requirements, compare business analytics software vendors and find the perfect fit for your organization.
Business Analytics 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 analytics system. There are hundreds of criteria to choose from, but the framework can be broken up into five main categories:
All business analytics 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 analytics 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 analytics application. Often, there are shell scripts created that regularly query a specific location or subdirectory and move files into the business analytics application working directories. Advanced technologies include ETL, where data is extracted from individual files.
Interactive Visual Exploration
Best-in-class business analytics 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 analytics mature, this business analytic feature becomes increasingly important.
Self-Service Data Preparation
Preparing data for use in any business analytics 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 analytics 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 analytics 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 analytics application.
Data Security and User Administration
Being able to define security rights by role is fundamental within any business analytics application today. At a minimum, there needs to be support for creating role-based access and defining profiles for various types of business analytics 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.
Expert recommendations and analysis of the best Business Analytics software
Questions to Ask During Business Analytics 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 software:
- How could your current approach to managing data reporting and business analytics be improved?
- What are the biggest challenges you face with your existing approach to data reporting and business analytics?
- Which metrics and KPIs have you been looking into that you would like to include in your new data reporting and business analytics system?
- What’s the current budget for your business analytics system and what’s the operating budget?
- Is your company considering an on-premise or cloud-based business analytics system?
- What devices will the business analytics 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 analytics 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 analytics system is at producing the most commonly used area of any business analytics 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 analytics application, ask to see the baseline app produce all the reports you need. There is a wide variety of publishing options for business analytics reporting software 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 analytics 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 analytics 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 analytics 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 analytics, 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 analytics 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 analytics 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.
Choosing a business analytics 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 analytics software for their needs. Check out our pricing guide to find out which BA vendors are in your price range.
Expert recommendations and analysis of the top Business Analytics software
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.
Splunk is an affordable analytics solution that is ideal for businesses of all sizes. The product offers a number of features that are common to business analytics products, as well as unique features that help it stand out from its competitors. Unique features include wide-sourcing of data, flexible deployment, intel into different company functions and more.
Apache Hadoop is an open source framework for dealing with large quantities of data. It’s considered a landmark group of products in the business intelligence and data analytics space, and is comprised of several different components. It functions on basic analytics principles like distributed computing, large data processing, machine learning and more. Hadoop is part of a growing family of free, open source software (FOSS) projects from the Apache Foundation, and works well in conjunction with other third-party products.
BOARD is a fully-featured data discovery platform, offering users BI, business analytics and enterprise performance management under the hood. 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. Serves mid to large companies across various industries. The platform offers unique, customizable dashboards, which allow the user to dig down to the lowest level of detail, while also giving users a comprehensive view of their complete business.
Initially released in 2011, Microsoft Power BI is a powerful tool that helps users gather and interpret proprietary data to make better business decisions. It offers a simple interface that allows users to create their own dashboards and reports. The solution comes in two forms: Power BI Services, an SaaS deployment, and Power BI Desktop, the on-premise based version. Users can use this robust software solution to connect data sources, visualize patterns and discover insights.
Domo, which means “thank you” in Japanese, is a SaaS 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 KPIs, users can overcome team silos and work together across departments.
Babelfish is designed to automate an organization’s sales and marketing intelligence. It draws data from marketing campaigns, CRMs and commerce records to give users insight into customer behavior and demographics. Its NLP-based search function lets users query data in simple language, which it translates into a data query, offering ad-hoc analytics. It uses machine learning to learn behavior’s patterns and needs the more they use it, providing recommendations and guidance for better, faster decision-making.This product isn’t to be confused with the translation program acquired by Bing in 2012.
Cloudera Enterprise Data Hub empowers users to utilize their business data in order to glean actionable insights. It puts data management at analysts’ fingertips, with the scalability and elasticity to manage any workload. Its suite of integrated analytics engines give users transparency into the whole data lifecycle, and the open-source architecture enables customizations to meet business needs.
Hortonworks Data Platform is an open-source data analysis and collection product from Hortonworks. It is designed to meet the needs of small, medium and large enterprises that are trying to take advantage of big data. The company was acquired by Cloudera in 2019 for $5.2 billion.HDP has a number of features that help it process large enterprise-level volumes, including multi-workload processing, batch processing, real-time processing, governance and more.
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.
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.
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.
Sisense brings data discovery, analysis and intelligence to every user via an embeddable, scalable, accessible 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. On the front end, users can craft visualizations, reports and dashboards to collaborate and share information.
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.
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.
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.
Periscope Data offers a flexible, powerful analytics platform to data analysts and business users alike. It helps companies store, organize, analyze, visualize and generate reports about data from a single cohesive interface. Sisense added this system to their suite of offerings in June of 2019.With this solution, users can transform SQL queries into interactive dashboards to consume data intuitively, regardless of experience. They can explore data and generate visualizations to answer critical business queries with no coding required.
ThoughtSpot was founded in 2012 by a team with previous experience at Google, Oracle, Yahoo, Microsoft and other Silicon Valley giants. It offers analytics and insight capabilities to industries seeking a deeper understanding of their proprietary data in order to make data-driven business decisions.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. Even non-technical users can engage with and explore data through the self-service interface.
Tableau Online is a web-hosted deployment that enables users to perform self-service analytics through the cloud from any device, anywhere, any time. It specializes in advanced visualizations that draw data from a variety of database sources and convert that unstructured data into comprehensive visual results. Through these dashboards, users can more easily uncover insights and make data-informed decisions for their business.
Qlik Sense is a data analytics platform that combines the power of artificial intelligence with the creativity of human intuition to help users make data-driven business decisions. This solution draws data from a variety of sources, organizes and filters it, and then creates intuitive visualizations of the data so users can more easily gain insights from patterns and trends discovered there.
Formerly known as LogiXML, Logi Analytics provides businesses with interactive data analytics and visualization, offering advanced reporting and visualization features. It offers self-service data analysis and data discovery; then connects and blends data to prepare it; and finally lets users turn the data into dashboards, reports and other visualizations.
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.
Microstrategy is an intelligence product that best serves small and medium-sized companies. Due to its ease of use, scalability and sophisticated analytics functions, the product is one of the more popular data solutions. The software brings a bevy of features that help it stand out from its competitors, including social intelligence, app integration, data discovery, mobile productivity and real-time telemetry. Users can easily explore data with the software’s interactive reporting tools.
Zoho Analytics (recently rebranded from 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, without the need for IT assistance or data analysts. Users can crunch huge data sets, clean and blend the data, perform various analytical tasks, and visualize the results in dynamic graphics to uncover insights and make data-informed business decisions.
Tableau Server allows everyone in your organization to see and understand proprietary data. It helps users create and share visualizations as well as highlight business opportunities in a secure environment. The exploration tools allow users to bring meaning to the information your company already owns and discover answers in record time. Its scalable architecture lets it grow with your organization.
Birst aims to help users explore their data and easily discover insights without the need for data analyst input. 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. This system offers a seamless, integrated UI that allows users to perform every step of the data analysis process in a single interface, blurring the line between modules and enabling a smooth experience.
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.
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.
Enjoy the benefits of advanced analytics without the complexity. Discover relationships. Test correlations. Develop outlooks that can guide you to your next great achievement. Search for insights in your own voice and instantly get answers. Smart data discovery, automated predictive analytics and cognitive capabilities enable you to interact with data conversationally. So if you need to quickly spot a trend or your team wants to view insights in a dashboard, Watson Analytics has you covered.
Many traditional ETL tools underperform when tasked with complex analytics projects. Fivetran aims to simplify and streamline the data analysis process with zero-maintenance configuration and pipelines that deliver information to customers’ data warehouses in the cloud.Created with the needs of users in mind, this solution facilitates control of data without the need for complex engineering processes. It promotes data-driven decision-making and a culture of data literacy for users of all technical skill levels.
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.
Greenplum UAP delivers a simple entry point for organizations seeking business agility through high-performance data analytics, enabling them to develop a data-centric culture and to evolve into data-driven companies.
Attivio Active Intelligence Engine is a unified information access platform that delivers enterprise data analytics to businesses of all sizes. It aims to reduce the costs of licensing, maintenance, servers and storage that many analytics solutions charge while providing a powerful reporting tool.This platform blends both structured and unstructured data without requiring users to perform data modeling in advance. Its user-friendly search queries put data exploration and analysis in the hands of users of all technical levels.
Embeddable, flexible and scalable, Exago BI is 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.
SAP Lumira is a data visualization solution that offers users the ability to gain insights on demand. Through a simplified design and editing process, users can build analytics reports and interactive dashboards that are tailored to their specific needs. It offers three editions: discovery, designer and server, which each have varying degrees of functionality. It integrates with the larger BusinessObjects suite, which offers a wide range of scalability options.
Data Modeling - Top 10
Includes PMML Support, Natural Language Searching, Reusable Data Models, End-user Data Mashups and more.
Data Visualization - Top 10
Allows users to create a visual (or graphic) outline of the content. Includes Visualization Plugins, Autocharting, Visual Querying, Visual Interaction, Storyboarding, Animations and more.
General Analytics - Top 10
Includes Ad Hoc Analysis, Issue Indicators, Trend Indicators, Descriptive Analytics, What-if Analysis, Prescriptive Analytics, Diagnostic Analytics, Performance Analytics, Big Data Analytics and Profit Analysis.
Reporting - Top 10
Allows users to customize dashboards based on their preferences and requirements. Custom dashboard views can be configured and shared between users to provide relevant views into data and trends. Includes Conditional Formatting, Report Customization, Application Reporting, Ad Hoc Reporting, Graphic Benchmarking Tools, Decision Management, Data Quality and Cleansing, Information Sharing and more.
Support - Top 10
Has a formal service level agreement (SLA), severity levels and corresponding response times published or available for review while maintaining a reasonable impact to overall pricing.
Big Data Integration - Top 10
Provides integration with Hadoop, Hive, Hbase, Cassandra, MapReduce and NoSQL Data Sources.
Deployment Environment - Top 10
Available as a fully hosted, Software as a Service (SaaS) offering as well as mobile platform access for iOS, Android, or other mobile devices.
Native Security - Top 10
Includes Multiple Authentication Sources, Role/User-based Security, Row Level/Multi-Tenant Security, Audit Trail, Content-based Security, Single Sign On and more.
Pricing & Cost Guide for Business Analytics Software
See the Price/User for the top Business Analytics software … plus the most important considerations and questions to ask when shopping
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