Data Analysis Tools

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Showing 1 - 20 of 188 products
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Showing 1 - 20 of 188 products

Cluvio

Cluvio is a cloud-based business intelligence and analytics solution that enables businesses to analyze data through a dashboard. The solution helps in running queries, filtering results, and displaying data via graphs and charts....Read more

4.50 (72 reviews)

Hexowatch

Hexowatch is a business intelligence (BI) software that helps enterprises leverage artificial intelligence (AI) technology to monitor websites and receive automated alerts about visual, content, source code, technology, availabili...Read more

4.76 (62 reviews)

Minitab

Minitab is a cloud-based statistical tool designed to help small to large organizations across various verticals such as manufacturing, healthcare, energy, automotive or non-profit discover market trends, predict patterns and visu...Read more

Accern

Powered by AI, Accern is a no-code data extraction and analysis platform that's designed to help companies within the financial services, insurance, asset management, and banking industries build and test NLP models to accelerate ...Read more

5.00 (1 reviews)

Power BI Connector for Jira

Power BI Connector for Jira simplifies data export to Power BI with no-code user skills, eliminating the need for analytical expertise. The application allows organizations to merge Jira with other data sources like CRM, financial...Read more

4.57 (7 reviews)

Tableau Connector for Jira

Tableau Connector for Jira enables organizations to create multiple data sources for real-time visualization and develop actionable insights. Tableau Connector for Jira has customizable data reporting tools and offers users variou...Read more

4.00 (1 reviews)

Tableau

Tableau is an integrated business intelligence (BI) and analytics solution that helps to analyze key business data and generate meaningful insights. The solution helps businesses to collect data from multiple source points such as...Read more

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MicroStrategy Analytics

The MicroStrategy analytics platform is a cloud-based and on-premise self-service business intelligence platform that supports both data mining and visualization. The platform can be implemented on a gradual and as-needed basis, s...Read more

4.22 (50 reviews)

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Logi Analytics

Logi Analytics is a business intelligence (BI) platform that provides self-service analytics tools for businesses. It can be embedded directly into the applications that employees use every day. Key features include a dashboard, d...Read more

4.20 (40 reviews)

3 recommendations

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Exago BI

Exago BI is a web-based solution that’s designed to be embedded in web-based applications. Embedding Exago BI allows SaaS companies of all sizes to provide their customers with self-service ad hoc, operational reporting, and inter...Read more

4.64 (58 reviews)

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Software pricing tips

Read our Data Analysis Tools Buyers Guide

Subscription models

  • Per employee/per month: This model allows you to pay a monthly fee for each of your employees.
  • Per user/per month: Users pay a monthly fee for users—normally administrative users—rather than all employees.

Perpetual license

  • This involves paying an upfront sum for the license to own the software and use it indefinitely.
  • This is the more traditional model and is most common with on-premise applications and with larger businesses.

Rated best value for money

Alteryx Designer

Alteryx is the launchpad for automation breakthroughs. Be it your personal growth, achieving transformative digital outcomes, or rapid innovation, the results are unparalleled. The unique innovation that converges analytics, ...Read more

4.75 (77 reviews)

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Altair Monarch

Altair Monarch is a self-service, web-based data preparation solution that helps businesses extract data from reports such as HTML, PDF and XPS. The platform can access data from customer lists, sales reports, logs, inventories, i...Read more

4.65 (20 reviews)

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Qlik Sense

Qlik Sense is a business intelligence (BI) and visual analytics platform that supports a range of analytic use cases. Built on Qlik’s unique Associative Engine, it supports a full range of users and use-cases across the life-cycle...Read more

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Chartio

Chartio is a cloud-based business intelligence solution that provides founders, business teams, data analysts and product teams in an organization tools to manage day-to-day business operations. Chartio's tools provide users ...Read more

4.54 (36 reviews)

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ClicData

ClicData is a business intelligence (BI) dashboard solution designed for use primarily by small and midsized businesses. The tool enables end users to create reports and dashboards. A drag-and-drop interface designed for ease...Read more

4.61 (134 reviews)

1 recommendations

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Dundas BI

Dundas BI, from Dundas Data Visualization, is a browser-based business intelligence and data visualization platform that includes integrated dashboards, reporting tools, and data analytics. It provides end users the ability to cre...Read more

4.52 (121 reviews)

5 recommendations

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Informer

Entrinsik Informer is a business intelligence tool that is designed for business and IT professionals. Key features include a dashboard, data scheduling and analysis and report generation. Entrinsik Informer allows users to e...Read more

4.82 (57 reviews)

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Diver Platform

Diver Platform from Dimensional Insight is a data management and business intelligence (BI) platform. The solution can be used in various industries, including healthcare, beverage suppliers and distributors, manufacturers and sup...Read more

5.00 (9 reviews)

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Big Data BizViz

Big Data BizViz is a business intelligence platform that can be deployed in the cloud or on-premise. The product compiles and analyzes data from unstructured, semi-structured and structured data sources in order to help executives...Read more

0.00 (1 reviews)

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Kyubit Business Intelligence

Kyubit is a cloud-based and on-premise business intelligence platform designed for Microsoft SQL Server Analysis Services (SSAS) environments. Primary features include online analytical processing (OLAP) grid and chart analysis an...Read more

4.29 (21 reviews)

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Popular Data Analysis Tools Comparisons

Buyers Guide

Last Updated: March 09, 2022

What are Data Analysis Tools?

Data Analysis Tools is a set of technology that enable users to analyze and visualize data in order to identify trends and correlations with the goal of supporting decision making.

Gartner defines BI as “the applications, infrastructure and tools and best practices that enable access to, and analysis of, information to improve and optimize decisions and performance.”

Given this, data analysis software is a central requirement for any business that wants to improve BI. In this guide, we’ll outline the main role of data analysis software and describe its functionality. This can help buyers select the best solution for their needs. We’ll cover:

What Is the Role of Data Analysis in BI?
Data Analysis Software Explained
Common Functionality of Data Analysis Software
Benefits of Data Analysis Programs
Key Considerations for Buyers

What Is the Role of Data Analysis in BI?

While the term "data analysis" is self-explanatory, it’s usually encountered in the context of BI, which is much more complicated. Thus, it’s helpful to begin by explaining how software for data analysis fits into the larger BI context.

The diagram below shows the major components of a BI system. All the data originates from the various data sources on the left, is colocated in the data warehouse (in the center) and then is analyzed by end users—using data analysis software—on the right.

Data analysis software is often the final, or second-to-last, link in the long chain of BI: This chain begins with loosely related and unstructured data, and ends with actionable intelligence.

Data Analysis Software Explained

Data analysis software is also known as “data analytics” tools. No matter what you call them, these should be able to handle the five key capabilities identified in our report, “5 Core Data Analytics Software Capabilities For SMBs.” Here they are:

  • Dashboards. These provide a real-time overview of key performance indicators (KPIs) in a visual format that is easily sharable. Some data analysis tools allow users to create their own dashboards so they can get a clearer picture of specific business operations.

  • Data set creation. Your business forecasts are only as reliable as the quality and quantity of data behind them. Software for data analysis should allow users to scrub, aggregate and split data as needed.

  • Interactive exploration. Static pie charts and line graphs are practically passé by today’s standards. Tools that enable interactive exploration provide eye-catching ways to visualize trends, such as heat maps and time motion views. Heat maps are 2D representations of data where values are represented by colors and time motion views are moving images depicting how data changes over time.

  • Sharing. Collaboration and social sharing functionalities are important because they allow business leaders to work together more efficiently. When everyone is seeing the same data sets, it’s easier to interpret the information in the same way.

  • Ease of use. A good data analytics tool should not require an advanced computer science degree to operate. While usability will vary depending on how robust and technical your platform is, the interface should be intuitive enough for trained staff to use with minimal support.

Common Functionality

As you research the various options available in the data analysis software market, you’ll notice that vendors describe and name their solutions differently. This can make product selection, and apples-to-apples comparisons, difficult. So, here’s an overview of the general categories of software for data analysis:

Functionality Description
Querying Querying is the process of “asking” the database a question. The answer is returned via the analysis tool in the form of data or data patterns, and is often presented as a “report.”
Reporting Reports are the results returned from a database query. They can take many different shapes and sizes depending on the software used, the available data and the specific nature of the query.
Managed Query Environment (MQE) MQE functionality lets administrators set role-based restrictions on the types of queries employees can submit, which databases those queries will access and the types of reports they’ll produce.
Online analytical processing (OLAP) Analyzes multidimensional data from multiple perspectives. It’s usually comprised of three analytical operations: data consolidation, data sorting and classification ("drill-down") and analysis of data from a particular perspective ("slice-and-dice").
Predictive analytics Makes predictions about future risks and opportunities. For example, predictive analytics could be used to test the effectiveness of marketing campaigns based on the performance of past campaigns.
Semantic and text analytics Analyzes large volumes of text to identify patterns, relationships and sentiment. These tools are often applied to comments on social media, live chat conversations and emailed communications.

Benefits of Data Analysis Software

The benefits of data analysis software are, essentially, the benefits of business intelligence. They vary tremendously depending on the individual case. Generally, however, they help identify, interpret and predict trends and patterns that affect the business.

Data analysis software can help, for example:

  • Clarify the correlation between new marketing initiatives and improved sales
  • Better predict customers’ needs by analyzing past purchases and browsing habits
  • Improve internal workflows and suggest solutions to common bottlenecks

By extracting these kinds of meaningful insights from your data, you’re in a better position to understand what it will take for your business to increase profitability. When you analyze a data set, you’re reflecting on what is (or isn’t) running smoothly at your business. The great advantage of using software for this purpose is it’s often more reliable—and less time-consuming—than manual data coding methods.

Key Considerations for Buyers

Businesses hoping to purchase data analysis tools in the near future should consider the following when evaluating solutions:

Customer support. Even in the most user-friendly of data analysis programs, it’s common to encounter some technical difficulties. Be sure to evaluate all the training and support services a vendor offers before committing to their system. This may include 24/7 live chat, online case submissions, webinars and more.

Mobile access. Business leaders who travel frequently will be especially interested in ensuring their data analysis tools are compatible with various mobile devices, such as tablets and smartphones. Click here for a more comprehensive guide on mobile BI software.

Integrations. Make a list of all the different software your business currently uses to check what the integration process is like with BI platforms on your shortlist. For example, a vendor’s BI platform may not integrate with your existing CRM system.