Best Data Discovery Tools
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PRODUCTS
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BUYER'S GUIDE
Buyer's Guide
By Ritinder Kaur, Market Analyst at SelectHub
It’s a tedious task getting separate databases to talk to each other — even more difficult is determining which datasets to combine to gain the desired insight. Data discovery tools and techniques support research and enterprise by identifying correlations, trends and patterns. All analytics and business intelligence tools have information discovery techniques in their feature set — which software will fit your business?
Data discovery platforms have the usual BI and analytics capabilities, but placing analytics at the front and center of all information-centric activities is their differentiating attribute.
Independent software vendors (ISVs) and value-added resellers (VARs) offer integrated solutions in partnership with analytics platforms. Salesforce partners with BeyondCore to extend smart discovery and advanced analytics capabilities in its Analytics Cloud.
This buyer’s guide gives you knowledge, tips and resources for your data discovery software research.
Executive Summary
- Data discovery software keeps analytics at the forefront of information-related activities.
- It combines engagement metrics with transactional information to derive meaningful insight that drives business decisions.
- There is a concentrated push for user autonomy with visual analytics and AI-driven information discovery.
- Following our lean software selection methodology will make the search process straightforward.
- Ask the right questions to capture your business requirements and prepare for vendor discussions.
What Are Data Discovery Tools?
Data discovery tools are software with the techniques and tools to derive meaningful data results from multiple sources. Data preparation, modeling, visual analytics and advanced statistical analysis constitute data discovery, a subset of business intelligence.
Engagement touchpoints like POS systems, mobile devices, web applications and navigation systems capture new types of contextual information that traditional systems can’t process. Combining this information with systems of record gives you valuable customer insight, which helps improve your sales approach the next time they log into your app or walk into your store.
Information discovery software is one of the fastest-growing segments in the BI software industry. Verified Market Research predicts the data discovery software market will grow to $21.5 billion by 2028. The need for fast insight with increasing information volumes is a primary driver of this industry-wide trend.
- Automated Reporting Tools
- Big Data Analytics
- Business Analytics
- Business Intelligence
- Cloud BI
- Data Analytics
- Data Cleaning
- Data Integration
- Data Management
- Data Preparation
- Data Warehouse
- Ecommerce Analytics
- Embedded Analytics
- Enterprise Reporting
- ETL
- HR Analytics
- OLAP Tools
- Predictive Analytics
- Qualitative Data Analysis
- Self-Service BI Tools
Data discovery involves three steps.
- Integrating, cleansing and preparing information for analysis.
- Visualizing it as charts, graphs, dashboards and maps.
- Organizing it into reports or dashboards to support business decisions.
Three categories of information discovery tools are presently available.
- Text-based search tools have a search engine-like interface to enable keyword searches of surveys, documents, presentations and product literature. They serve organizations that seek to incorporate unstructured information into their metrics.
- Visual discovery tools with direct querying, interactivity and manipulation capabilities support self-service analytics. Clicking on elements and dragging and dropping dimensions and measures into visualizations triggers SQL queries at the back end. Changing the visualization type refreshes information automatically.
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AI-based tools perform pattern identification with machine learning, so you don’t have to. But, the system might flag one-off occurrences as trends, and human context is indispensable in such cases. A tourist event in a city might drive up sales temporarily, which you can tell the system to ignore to avoid false positives.
Examples of AI-based information discovery tools include IBM Watson and BeyondCore. But it’s early days, and small and mid-sized businesses (SMBs) might find visual tools better suited to their needs.
Data virtualization and direct query methods make information discovery systems ideal for small organizations that can’t afford data warehouses. Mid and large-sized enterprises will likely prefer visual discovery tools, though software with artificial intelligence (AI) might be in the higher cost bracket.
What Is Smart Data Discovery?
BI systems were always user-focused — earlier, end users needed experts to get the desired information. With the launch of enterprise resource planning systems (ERPs) and data warehouse tools, organizational information became more accessible to BI vendors. It encouraged them to innovate and develop software that could query a single consolidated repository.
This method was faster than pulling information from distributed systems and networks and sped up downstream processes like statistical modeling, enterprise reporting and big data analytics.
But the gap between independent insight and end users persisted. The process wasn’t intuitive — you needed to know which metrics you wanted and how to source them. Information discovery required modeling and statistical analysis skills. Additionally, it could introduce human bias into the results.
Smart discovery tools autonomously perform data prep, modeling visualization and advanced statistical analysis. Plus, computers and software programs are better at asking questions than humans. Using this premise, vendors ventured into the smart data discovery domain, removing the hypothesis phase and, consequently, human bias from the analytics process.
Smart discovery or autonomous analytics isn’t about “which metrics do I want?”. Instead, it adopts a business approach, asking questions like “why did our campaign fail?” or “why did sales fall in the north region?”
Thanks to AI-driven smart data discovery, you can connect to the preferred source with point-and-click actions, give natural-language text instructions to view the desired results and watch the software work its magic.
No matter the technical skills, smart information discovery helps you better understand key business trends by using advanced analytics without needing complicated formulas.
BI platforms that integrate information discovery with reporting and dashboarding capabilities are worth considering when looking to buy software solutions.
Primary Benefits
Data discovery is a BI pipeline component with the same benefits. It helps you visualize datasets, trends and outliers, manage risk and compliance, and get a high-level overview of critical metrics and how they impact your business.
Gain Actionable Insight
Modern data discovery software shows the desired information in everyday language on a user-friendly interface while deriving KPIs, business trends and patterns behind the scenes. It empowers users unfamiliar with your system, like clients, to view the metrics independently.
Manually exploring information and gleaning the required metrics is a thing of the past. Connect to the right sources and ask the right business questions, relying on the system to do the rest.
Save Time and Money
Customer preferences and market trends change every day. Data discovery systems give you the latest results by continually analyzing incoming data while combining it with existing information. They automatically find and explain insight from voluminous datasets of varying complexity, presenting the outcomes with automated recommendations at the click of a button.
Embeddability drives productivity by bringing visualizations and data discovery platforms where you work. It saves time switching between applications, telling you what you need to know at the exact moment in your regular business workflows.
Incorporate Big Data
Websites and social media platforms significantly contribute to business insight, but semantic layers in traditional BI systems are often hard-coded and inflexible. Tweaking them every time to incorporate new information types isn’t practical in a dynamic data environment.
Data discovery tools address this shortcoming by connecting directly to operational databases, removing the need to go through the semantic layer. They perform data preparation on the fly, assigning terminology and mapping it to the relevant datasets as they go.
It saves your IT team the task of standardizing business terms across your organization. Additionally, you have greater flexibility to perform sophisticated queries and create models instead of being restricted to the models coded into the semantic layer.
Classify Data Automatically
Associative engines in discovery tools help you uncover correlations, trends and outliers. Their primary role is metadata scanning and indexing in BI tools, extract, load and transform (ETL) tools, and third-party metadata catalogs.
Identifying outliers and trends with Smart Data Discovery. Source
They identify and profile information sets, providing their lineage from high-level system views to granular column-level perspectives. These tools are intelligent enough to scan static and dynamic code in SQL scripts and stored procedures.
Advanced dependency tracking helps you understand each transformation and why it happened. AI-driven domain discovery, information commonality, business term associations and recommendation technologies automatically curate extracted metrics.
Using BI vs. Data Discovery
Information discovery and BI have a common purpose — maximizing information use for your business by consolidating insight siloed in disparate sources. There’s a fundamental difference, however. BI is a consistent, continuous process of information flow for everyday operations and decision-making, while data discovery is the on-demand analysis of business-critical information and trends.
Your BI tool will provide the following functionality.
- Identify short and long-term trends.
- Generate live information for routine operations.
- Provide enterprise reports.
- Share insight via collaborative interfaces.
Use a data discovery tool to address these needs.
- Enable tactical analysis and planning.
- Get answers to specific business queries.
- Perform in-depth analysis.
- Incorporate unstructured information into reporting and analytics.
In summary, BI provides comprehensive information, while data discovery enables specific analysis with deep-dive exploration and investigation.
Key Features & Functionality
Visual Interface | Intuitive visualizations streamline information access, manipulation and pattern identification. Dig deep into performance metrics and market trends with point-and-click actions. Create dashboards and visualizations without expert help. Highlight contextual information by drilling into selections to create datasets for in-depth analysis. Spot discrepancies and potential pitfalls. |
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In-memory Processing | Storing information in random access memory (RAM) enables the local blending of large volumes. It reduces bandwidth requirements and processing overload. |
Big Data Connectivity | Your preferred software should have the capability to incorporate unstructured information, including audio, video, images and text from files, websites and social media feeds. Beyond standard formats like XML, PDF and TXT, the software should have the flexibility to connect to your sources. Direct connections to databases complement source access via the semantic layer. |
Data Discovery and Preparation | Your preferred system should process information efficiently, no matter where it resides. Data quality management tasks like parsing, correction, profiling, master data management and security and governance are business-critical. The software should support normalization, removing trailing spaces and testing the accuracy of joins on the fly. Built-in cleansing and information prep are essential for direct source connections since they don’t go through the semantic layer. |
Advanced Analytics | Your users should be able to build models and perform statistical analysis without coding or performing SQL queries. A visual interface tool abstracts the technical details while performing the statistical analysis for you. |
Data Visualization | Ask the vendor if they offer your preferred visualization types and customization options. A visual toolkit lets you interact with the metrics and manipulate them as needed. White-labeling the software should enable branding the interface with your company’s logo, themes and colors. Embeddability into websites, web applications, email clients, and BI and analytics systems help maximize your business information. |
Collaboration | A good information discovery platform lets you collaborate within visualizations with clients and other team members. Record observations and conduct meaningful team discussions with built-in chat, comment and annotation options. |
Predictive Analytics | A good information discovery platform lets you collaborate within visualizations with clients and other team members. Record observations and conduct meaningful team discussions with built-in chat, comment and annotation options. |
Metadata Management | Compliant classification and metadata assignation are must-have features in all data software. A well-designed metadata system will support analysis by answering questions like “Where can I find this information?”, “How was it used earlier?” and “Can I use better data for my models? |
Scalability | The software should scale with changing user roles so you don’t have to learn a new piece of technology whenever you need information beyond your regular responsibilities. It should let you transition from viewing information to interacting with it and discarding it to build your own. |
Software Comparison Strategy
To select a best-fit software, create a requirements checklist to assess your business needs internally. Our pre-populated, customizable requirements template can get you started in no time.
With requirements locked down, convert these into questions to ask potential vendors. Refer to our Key Features section to fine-tune this list.
Which sources should the software connect to out of the box? Is collaboration a deal-breaker? Which governance features do you want?
Distribute these questions to potential vendors with a request for proposal (RFP), a request for information (RFI), a requisition for quotation (RFQ) or a combination of all three.
Once you hear back, review how the vendors score on a scale of 1 to 100 in addressing your business needs.
Cost & Pricing Considerations
Product cost can make or break your decision to purchase data discovery software. Budget limitations can weigh heavily on your mind when you know the decision will impact your business for years. Check the pricing tiers from the vendor’s website or contact them directly.
Get your hands on our pricing guide to learn how much a data discovery solution will likely cost you.
Pricing will vary depending on the deployment method, user licenses, modules and add-ons purchased. Bare-bones support is often part of the package but is available only during business hours. You might have to opt for a paid plan for round-the-clock support and quicker turnaround.
Factor in the total cost of ownership (TCO) and look into any hidden charges. The better a vendor’s score, the more likely you’ll want to reach out to them to ask for demos and proof-of-concept (POC).
The Most Popular Data Discovery Tools
SelectHub analysts ranked data discovery software based on how well they deliver enterprise requirements. We discuss the three most popular products here.
Tableau
Tableau is a flexible, scalable and secure information discovery and visualization software that connects to spreadsheets, cubes and relational databases. It performs information storage and processing, preparation and transformation, cataloging and metadata management with querying.
Dashboards are embeddable, customizable and reusable — assign permissions to the new users for information viewing and access.
Dynamic predictions in Tableau with the Einstein Discovery dashboard extension. Source
Power BI
Microsoft provides the data hub for dataset discovery and permission-based access in the Power BI service and Power BI app in Teams. Besides report generation and permissions management, derived insight supports the Analyze module in Excel. Managing data items by viewing usage metrics, refresh status, related reports and lineage is possible.
The data items list in Microsoft Power BI’s Data hub.
BOARD
It’s a BI and corporate performance management (CPM) suite that enables app building with its library of code-free functions. The software allows point-and-click integration and drag-and-drop visual analysis. Available in cloud-based and software-as-a-service (SaaS) versions, the solution integrates with MS Office and supports reports from email and Excel.
It’s scalable with full read and write support and node balancing, thanks to in-memory processing.
A sales intelligence and planning dashboard.
Questions To Ask
Ask these questions as a starting point in the context of your organization and its needs.
- What’s not working that you hope to address with data discovery software?
- What’s your budget?
- Which deployment method will you prefer?
- Is scalability a deal-breaker?
- Is AI-driven information discovery a must-have feature?
Preparing a list of questions to ask vendors about the software and their services saves time and helps you check off the boxes in your functional and technical requirements list.
- Is a mobile version available?
- Is the information discovery process intuitive for all users?
- Is the learning curve steep? Is training included in the product cost or paid?
- How often do they release updates?
- What is the support turnaround time?
In Conclusion
There are no shortcuts to success, and every step of the software selection process requires due diligence. In-depth market research of leading data discovery software and techniques is essential to defining clear-cut requirements. Asking the right questions of vendors through well-documented RFPs is critical to your search.
Finalize vendors by reviewing their proposals in discussion with your stakeholders and sign on the dotted line. Set up an implementation plan and decide when to go live with the software.
Product Comparisons
Products found for Data Discovery Tools
Tableau
Tableau is a data visualization and analytics solution that assists enterprises in making data-driven business decisions. It blends information from a wide range of sources to deliver actionable, real-time insights. It allows exploration of data via intuitive means such as drag-and-drop filtering and natural language queries, irrespective of skill levels. With ample customization and security options, it offers control over data visualization, enabling creation of dashboards and stories that effectively convey business narratives. It can be purchased as part of the Tableau Creator package, which includes the desktop version, Prep and a Creator license of the server or online version.
Power BI
Microsoft Power BI is an analytics tool that assists in reporting, data mining and data visualization to provide business insights. Through Power BI's simple interface, businesses can connect to a variety of data sources and create their own dashboards and reports. Originally born from Excel as an add-on, Power BI has since grown to stand on its own. At a relatively low cost, Power BI fulfills the needs of organizations ranging from small business owners to enterprise operators. There are three versions: Desktop, which is available for free for individual use, 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.
Board
Board is a robust solution that offers 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 enterprises 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-sized companies across various industries, and its programming-free toolkit helps businesses analyze and plan with a tailored, efficient approach, irrespective of technical skill levels.
Looker
Looker is a web-based analytics solution that offers businesses the ability to explore, discover, visualize and share data insights. Enterprises can view data sources and drill down into data to better understand their business and metrics. Using a simple proprietary modeling language, this system helps define data relationships while bypassing SQL. It facilitates data literacy and accessibility, irrespective of technical skill levels. It was acquired by Google on June 6, 2019, for $2.9 billion.
Qlik Sense
Qlik Sense is a self-service data analytics software that enhances human intuition with the power of artificial intelligence to enable better data-driven business decisions. It allows organizations to explore their data and create intuitive and compelling visualizations from data 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 businesses modernize their approach to intelligence. It has two editions: Business and Enterprise, offered on a per account annual subscription. Enterprises can choose between a hosted SaaS public cloud or multi-cloud, on-premise or private cloud deployment. Qlik Sense Business comes with a free 30-day trial. Its desktop version is available for free for personal use.
Spark
Apache Spark is an open source unified analytics software for distributed, rapid processing. It distributes data across clusters in real time to produce market-leading speeds. It is rising in popularity in the space, catching up to its sister-offering, Hadoop, because of its quicker speeds and specific focus on optimizing processing performance and ability to stream data. It supports several coding languages, including Python, R, Scala, SQL and Java. It can function stand-alone, or be integrated into broader workflows easily.
Black Knight
Black Knight offers an extensive suite of cloud-based solutions for businesses to improve decision-making through actionable data insights. It provides a unified end-to-end framework that combines its big data assets with data collection, visualization and analytics. Armed with multilingual support, machine learning techniques and an intuitive interface, it helps enterprises generate leads, adhere to compliance guidelines and increase process efficiencies.Though aimed at the mortgage and mortgage-related industry, it also offers data analytics to suit the needs of a range of other industries. Some of its industry-specific inclusions include hedge, enterprise, market and competitive analytics. Customers can opt for the origination, servicing or home equity collections, each focused on addressing specific challenges or utilize all three collections for expanded visibility.
QlikView
QlikView is a data discovery and customer insight platform from Qlik, a leader in the insight and intelligence space. However, it is not available for purchase any longer. Qlik Sense, Qlik’s next-generation offering, is available for new customers. It offers self-service data that can help drive decisions and generate significant ROI for technical skill level users. It’s 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, and on-premise or cloud data. It is well-known for its data associations and relationship functionality, keeping data in context automatically. It delivers results quickly via its patented in-memory data processing module, processing data down to as little as 10% of its original size.
Spotfire
TIBCO Spotfire is a complete business intelligence and data discovery platform that can perform various functions, including in-depth analysis and robust visual reporting, all powered by artificial intelligence. It offers data streaming technology, which can support insights with AI, big data integration, integration with the Internet of things (IoT) and more.
Oracle Analytics Cloud
Oracle Analytics Cloud is an AI-powered solution that 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. It 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.
Sisense
Sisense is an end-to-end data analytics platform that makes data discovery and analytics accessible to customers and employees alike 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. Its AI-driven, cloud-native analytics offering, Fusion, embeds into business workspaces and empowers teams to view key metrics and data insights where they work. 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.
Cognos Analytics
IBM Cognos Analytics is a self-service, web-based analytics platform which empowers users of all skill levels to explore data through reporting, data analytics, KPI monitoring, events and metrics. Reports give users the ability to not just visualize their insights, but also share them with colleagues. It integrates with Watson Analytics, which leverages IBM’s artificial intelligence and natural language processing to make insights more accessible to non-technical users. It has various components which give additional functionality, flexibility and agility when processing large sets of data.
Logi Symphony
Logi Symphony (formerly 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.
BusinessObjects
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.
MicroStrategy
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.
Sisense For Cloud Data Teams
Formerly known as Periscope Data, Sisense for Cloud Data Teams is a data analytics software tool that integrates seamlessly with the Sisense platform, offering advanced analytics that delivers actionable insights to teams that work with data in the cloud. It provides a single, cohesive interface for users to store, organize, analyze and visualize all their data for better decision-making. It empowers users of all kinds to produce, consume and share insights intuitively together, with or without coding knowledge. Originally founded in 2012 in San Francisco, California, it was acquired by Sisense in May 2019 and rebranded in January 2020.
ThoughtSpot
ThoughtSpot offers analytics and insight capabilities to industries seeking a deeper understanding of their proprietary data in order to make data-driven business decisions. It focuses on giving nontechnical users access to processing and analytics, bringing the ease of a search function to enterprise-scale data analysis. It offers a powerful search engine integrated with in-memory computing for a consumer-class UI.
Pentaho
Pentaho Business Analytics helps users gain insights to drive decisions and manage their data. Notable features include data visualization, dashboards, data modeling, reporting, role-based security, mobile access and a host of analytics capabilities. It serves customers of any size in all industries and 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.
Klipfolio
Klipfolio is an analytics software tool that helps users wield data intelligently and confidently by building dashboards and reports that track KPIs and monitor trends. Users can glean insights from information across the organization collected in one convenient place and deploy interactive data visualizations that they can share with ease. It is available through an annual or monthly subscription to one of four plans: Publish, Grow, Team and Team+. The number of dashboards and users allowed, as well as the data refresh rate and level of support varies depending on the pricing plan selected.
RStudio
RStudio is an integrated development environment suite for the R programming language, synthesizing coding tools into one software tool for easier advanced data processing. Using in-memory processing, it is capable of parsing big data through integrations and connections. It is available in both open-source and commercial formats, with extra features available in the paid edition includes more sophisticated collaboration and security efforts. The free version is capable of end-to-end analytics, from API connectivity and data ingestion to visualization creation and distribution. It can be deployed standalone or on a web browser through connection to RStudio Server.
Dundas BI
Dundas BI is a browser-based analytics platform built to embed from the ground up. The vendor provides single and multi-tenant deployments with access to shared, reusable content. HTML5 enables customizable visualizations and user-friendly dashboards to build reports with interactivity options to drill down into data on demand. It allows secure write-backs to the database, capturing input through custom forms, stored procedures and REST APIs. It gives businesses complete control over the data stored on their IT infrastructure. The vendor offers a 25-day free trial.
Infor Birst
Infor Birst is a cloud-based analytics software tool that aims to help users discover insights without the need for analyst input. It unifies IT-managed enterprise data with user-owned data, supporting the blending of both in a top-down and bottom-up manner. It uses consistent business metrics to structure raw data into organized sets and visualizations. It helps users identify patterns and better understand their organization’s KPIs. It offers a seamless, integrated UI that allows users to perform every step of the data analysis process in a single interface, enabling a smooth experience. It can be deployed either from the cloud or self-hosted on-premise. Users can purchase it in three available formats: per-user fee, by department or business unit or by end-customer in embedded scenarios.
Zoho Analytics
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 without needing IT assistance or data analysts through extensive automation efforts in several dimensions of the analytical process. Users can crunch huge datasets, clean and blend 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.
GoodData
GoodData is a powerful, embeddable, customizable SaaS solution that combines, analyzes and visualizes the internal and external data of an organization to help businesses change the way they make decisions, with a focus on data-driven best practices. It 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.
Domo
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.
ibi
Ibi by Information Builders offers cloud-based data and analytics platforms that empower users to turn their information into insights through robust visualization, reporting and data management. WebFOCUS is its primary offering. Flexible, configurable and scalable, it integrates data from many sources, simplifies data workflows and enables fast, easy organization and analysis of data. It allows users to make more confident data-driven decisions that drive business results.As of 2020, the vendor has announced that it will be acquired by TIBCO.
Jaspersoft
Jaspersoft is a reporting and data analytics suite built around the JasperReports engine that helps businesses create seamlessly embeddable, pixel-perfect reports, dashboards and visualizations. It empowers businesses with the self-service capabilities to find answers to data questions through beautifully rendered visuals that are easy to understand and explain. Bridging the gap between insight and action, it promotes ownership of the decision-making process across organizations. It includes JasperReports Library, JasperReports Server and JasperReports Studio. The vendor also offers a cloud and microservice-embeddable reporting engine, JasperReports IO.
SAS Visual Analytics
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.
Pyramid Analytics
Pyramid Analytics offers an enterprise-grade operating system that 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.
JReport
JReport by Logi Analytics (now discontinued) empowered companies to perform data analysis and generate reports directly from other business applications. It was scalable, customizable, fault-tolerant and worked seamlessly within other web interfaces. It integrated with any architecture and supported a range of embedding methods from the front and back ends.
Izenda
Izenda (replaced by Logi Symphony) is a business intelligence product that allows users to embed reporting and analytics capabilities into other applications. It monetizes data, promotes data literacy, offers insights and sets users up to make data-driven business decisions.From ad-hoc reports to ongoing insights, this software tool offers users a flexible range of data analysis features and visualization capabilities. It was designed for both developers and end users with a modern technology stack, flexible architecture and intuitive drag-and-drop interface.
Exago
Exago (replaced by Logi Symphony) is embeddable, flexible and scalable. It is designed for multi-tenant SaaS use and requires no additional desktop downloads or plug-ins. It offers an open API and customizable UI, giving users control and flexibility. It includes express reports, pixel-perfect reports, report formatting templates, crosstab reports, drill-down, a dashboard designer, maps, data blending and OLAP.
WebFOCUS
WebFOCUS is a data analytics solution from Information Builders that helps businesses transform their data into actionable insights. Its intuitive interface makes self-service intelligence accessible to users of all skill levels. Its capabilities include dashboards, scorecards, mobile access, guided ad hoc reporting, data integrations, dynamic report distribution and much more. As of 2020, the vendor has announced that it will be acquired by TIBCO.
ClearStory Data
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.
Datorama
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.
BIRT
It’s an open-source project on Eclipse and is an acronym for Business Intelligence and Reporting Tools. It lets organizations extract and transform data for business analysis. Its Report Designer enables visual report-building within interactive dashboards. The runtime component executes the reports once ready. Embedded into a range of business interfaces, it enables custom design layout, data access and scripting to present report output over the web. It supports charts, crosstabs, using multiple data sources within the same report, re-using queries within reports and addition of custom code.
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