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What is Data Analytics Software?

Data analytics software is used for quantitative and qualitative analysis of business data to boost productivity and profits. With data analytics software, businesses can extract and categorize data, and identify and analyze patterns and behaviors to gain insight. Global enterprises collect and analyze data related to practical experience, market economics, business processes, and customers. This data is stored and analyzed to learn buying patterns and trends, and the insight thus obtained is utilized to make smarter decisions. For instance, a social networking site can collect user data and use data analytics software to learn key customer trends that they can utilize to enhance their layout, content, and overall strategies. Start by checking our leader Zoho Analytics, and other recommended solutions in this category.

How was this ranking made?

In order to develop this ranking of best Data Analytics Software we have evaluated 314 trending tools currently available on the market, contrasting their features, how easy are they are to learn, customer servive, available integrations with other systems and mobile device support with our unique SmartScoreTM rating system. This ranking has been prepared by Jenny Chang, our SaaS expert responsible for the Data Analytics Software category.

List of Top 12 Data Analytics Software

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1. Zoho Analytics

Our score: 8.7 User satisfaction: 99%

A powerful business intelligence, data analytics, and online reporting tool for creating data visualizations and generating actionable business insights. Zoho Analytics' self-service approach streamlines the data analytics process in a way that can be handled by anyone regardless of their technical skills.

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2. IBM Business Analytics

Our score: 9.9 User satisfaction: 97%

An integrated suite of business analytics tools that help drive organizational growth.

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3. Apache Hadoop

Our score: 9.8 User satisfaction: 99%

A reliable, scalable, and open source software library and distributed computing framework developed for research and production-related activities; permitting users to process large amounts of data sets for data analysis, execute distributed parallel computing operations and tasks across clusters of servers and machines, and ensure the high performance and availability of applications that are running in Hadoop clusters.

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4. Sisense

Our score: 9.7 User satisfaction: 99%

A leading and award-winning software for preparing, analyzing, visualizing, and organizing data for your business. Sisense brings innovative and intelligent technology designed to address inquiries directly through a single channel, as well as gather and present your data as relevant insights that you can share using interactive dashboards.

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5. Looker

Our score: 9.6 User satisfaction: 95%

Looker is a data-discovery platform that provides companies real-time access to relevant data to help them make better business decisions. A browser-based application, Looker can analyze any size of data for businesses of all sizes. It also has a user-friendly interface that even inexperienced data analysts can navigate with ease.

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6. Periscope Data

Our score: 9.5 User satisfaction: 98%

Periscope Data by Sisense is an advanced analytics platform where businesses can securely conduct data processing, testing, performing queries, and others. Among Periscope Data's robust features include efficient query management, data preparation, data connection and analysis, custom data visualization, multiple sharing options, data and user management, and more.

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7. Board

Our score: 9.0 User satisfaction: 100%

Board is an all-in-one business intelligence platform that combines business intelligence with performance management and data analytics. It comes both as a web-based and an on-premise platform and allows you to manage your workflows. With the software's predictive analytics, you can create plans and make adjustments to your business model and initiatives.

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8. Google Analytics

Our score: 8.7 User satisfaction: 99%

Google Analytics is a software tool that summarizes data on high-level dashboards enabling you to generate various types of reports.

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9. DbVisualizer

Our score: 8.7 User satisfaction: 96%

DbVisualizer is a feature-rich database management tool for consolidating and visualizing information from across multiple database applications. Developers and analysts can manage multiple databases and configure tables with the software's drag-and-drop interface. Moreover, the platform is equipped with an advanced SQL editor that lets users write, test, and execute queries, as well as strong security features.

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10. BigID

Our score: 8.7 User satisfaction: 97%

A modern data intelligence platform that enables enterprises to discover, manage, and protect data critical to their business. Powered by machine learning, the software allows for more efficient, consistent, and scalable data governance across any data in the cloud or data centers. It makes it possible for companies to know their data and take action for protection, privacy, and perspective.

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11. Zepto

Our score: 8.0 User satisfaction: 94%

World's Simplest AI Powered Data Analytics Tool via the cloud. It provides AI-powered data analytics tool for everyone.

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12. CXAIR Platform

Our score: 8.5 User satisfaction: 97%

Cloud-based or on-premise data discovery and analytics platform that helps create a single source of truth for your business. CXAIR Platform is powered by features that consolidate information regardless of structure into an organized central source. Its native data discovery functionality also makes data access and retrieval faster.

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Data Analytics Software Guide

Table of contents

Industry Report - Data Analytics Software for 2022

CloudRank™ system is a unique algorithm that our research team uses to evaluate Data Analytics Software solutions in a detailed and accurate way. The Winter 2022 edition of the ranking was prepared by Jenny Chang, our leading expert in the field of Data Analytics Software, who has authored 1380+ product reviews in this category. The goal of CloudRank™ is to present an unbiased, multi-layered perspective on Data Analytics Software, considering a wide range of metrics and factors, and educating potential customers about both opportunities and challenges associated with each piece of software.

In order to achieve full objectivity the position in our CloudRank™ is based on:

  • Expert Score: which involves extensive analysis by our internal team which carefully examined all key elements of each software and testing it in real-life situations
  • User Score: which involves an aggregated opinion of actual users of each product whose identity was properly verified
  • Market Position: which involves general recognition of a given vendor on the market and reflects its overall popularity and reach
What do the tiers in CloudRank™ mean?

What do the tiers in CloudRank™ mean?

We’ve calculated a score for each product based on the average experience shared by our users in their product reviews and arranged the list in three tiers. You can see the methodology below on how the calculations were made.

  • Leaders: those with a User Score of 8.5 or higher; this tier includes products that are currently leaders on the market and are appreciated by both experts and actual users. They always represent the best of what the Data Analytics Software market has to offer and are all worth trying out if you’re looking for a reliable solution.
  • Contenders: those with a User Score between 8 and 8.5; this tier includes high-quality products that still have some minor drawbacks that prevent them from becoming leaders on the market. They always represent well-designed tools that, over time, will most likely develop into market leaders as the missing features are added.
  • Rising Stars: those with a User Score between 7 and 8; this tier includes products that have high-potential but still lack some crucial features or services expected from a leading solution. They are products with solid foundations and a vision that makes us eager to see what they will become as their solution improves in the future.

Regardless of their tier, all products included in our CloudRank™ are popular, quality products considered top-performers by our team of experts. Make sure you read a more detailed review of each solution to find one that will work best for your specific needs and budget.

Show less
Rising Star
Contenders
Front-Runners

MARKET POSITION

A score between 1 and 10 based on popularity and market reach of each product.

TOTAL score

A score between 1 and 10 based on the average of our Expert Score and User Score.

How does CloudRank™ work?

Arrow top

Market Position

A score between 1 and 10 based on popularity and market reach of each product.

Arrow right

Total Score

A score between 1 and 10 based on the average of our Expert Score and User Score.

CloudRank™ tier

Based on product's total score.

Rising Star

Contender

Front Runners

25 Most Popular Data Analytics Software

Here is a list of all 25 Data Analytics Software solutions evaluated with our CloudRank™ analysis. We have compared their features, user satisfaction, market presence and other key factors in an in-depth analysis you can find below:

1. Klipfolio

8.72
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:8.72
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Dashboards

%

Data visualization

%

Managed Query Environment (MQE)

%

Predictive analytics

%

Flexible data sources

%
Worst features

Online analytical processing (OLAP)

%

Self-service

%

Security

%

Semantic and text analytics

%

Mobile access

%

2. Google Analytics

8.67
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:8.67
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Data visualization

%

Dashboards

%

Drill down and roll up

%

Flexible data sources

%

Managed Query Environment (MQE)

%
Worst features

Online analytical processing (OLAP)

%

Predictive analytics

%

Security

%

Self-service

%

Semantic and text analytics

%

3. Semrush

8.66
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:8.66
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Drill down and roll up

%

Online analytical processing (OLAP)

%

Dashboards

%

Predictive analytics

%

Self-service

%
Worst features

Flexible data sources

%

Managed Query Environment (MQE)

%

Semantic and text analytics

%

Security

%

Mobile access

%

4. IBM Cognos

8.65
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:8.65
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Security

%

Managed Query Environment (MQE)

%

Online analytical processing (OLAP)

%

Data visualization

%

Drill down and roll up

%
Worst features

Mobile access

%

Self-service

%

Dashboards

%

Semantic and text analytics

%

Predictive analytics

%

5. Sisense

8.64
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:8.64
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Dashboards

%

Data visualization

%

Drill down and roll up

%

Managed Query Environment (MQE)

%

Flexible data sources

%
Worst features

Predictive analytics

%

Mobile access

%

Security

%

Self-service

%

Semantic and text analytics

%

6. Looker

8.54
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:8.54
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Managed Query Environment (MQE)

%

Dashboards

%

Drill down and roll up

%

Online analytical processing (OLAP)

%

Security

%
Worst features

Flexible data sources

%

Self-service

%

Data visualization

%

Semantic and text analytics

%

Predictive analytics

%

7. Microsoft Power BI

8.49
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:8.49
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Mobile access

%

Security

%

Flexible data sources

%

Online analytical processing (OLAP)

%

Data visualization

%
Worst features

Managed Query Environment (MQE)

%

Drill down and roll up

%

Self-service

%

Semantic and text analytics

%

Predictive analytics

%

8. Qualtrics Research Core

8.49
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:8.49
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Data visualization

%

Flexible data sources

%

Mobile access

%

Predictive analytics

%

Dashboards

%
Worst features

Online analytical processing (OLAP)

%

Managed Query Environment (MQE)

%

Security

%

Semantic and text analytics

%

Self-service

%

9. Salesforce Analytics Cloud

8.48
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:8.48
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Security

%

Managed Query Environment (MQE)

%

Semantic and text analytics

%

Drill down and roll up

%

Online analytical processing (OLAP)

%
Worst features

Self-service

%

Mobile access

%

Predictive analytics

%

Dashboards

%

Flexible data sources

%

10. Zoho Analytics

8.44
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:8.44
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Flexible data sources

%

Security

%

Data visualization

%

Drill down and roll up

%

Managed Query Environment (MQE)

%
Worst features

Dashboards

%

Self-service

%

Semantic and text analytics

%

Mobile access

%

Predictive analytics

%

11. Domo

8.43
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:8.43
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Dashboards

%

Data visualization

%

Managed Query Environment (MQE)

%

Flexible data sources

%

Online analytical processing (OLAP)

%
Worst features

Self-service

%

Semantic and text analytics

%

Mobile access

%

Predictive analytics

%

Security

%

12. Qlik Sense

8.25
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:8.25
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Managed Query Environment (MQE)

%

Online analytical processing (OLAP)

%

Dashboards

%

Data visualization

%

Drill down and roll up

%
Worst features

Semantic and text analytics

%

Flexible data sources

%

Self-service

%

Security

%

Mobile access

%

13. Tableau

8.25
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:8.25
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Data visualization

%

Dashboards

%

Managed Query Environment (MQE)

%

Security

%

Drill down and roll up

%
Worst features

Self-service

%

Semantic and text analytics

%

Flexible data sources

%

Mobile access

%

Predictive analytics

%

14. MicroStrategy

8.24
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:8.24
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Security

%

Dashboards

%

Managed Query Environment (MQE)

%

Data visualization

%

Drill down and roll up

%
Worst features

Online analytical processing (OLAP)

%

Self-service

%

Predictive analytics

%

Semantic and text analytics

%

Mobile access

%

15. MATLAB

8.23
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:8.23
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Semantic and text analytics

%

Drill down and roll up

%

Online analytical processing (OLAP)

%

Dashboards

%

Predictive analytics

%
Worst features

Managed Query Environment (MQE)

%

Self-service

%

Security

%

Flexible data sources

%

Mobile access

%

16. AgencyAnalytics

8.16
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:8.16
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Dashboards

%

Data visualization

%

Predictive analytics

%

Self-service

%

Managed Query Environment (MQE)

%
Worst features

Drill down and roll up

%

Online analytical processing (OLAP)

%

Semantic and text analytics

%

Flexible data sources

%

17. SAP BusinessObjects Lumira

8.12
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:8.12
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Security

%

Managed Query Environment (MQE)

%

Flexible data sources

%

Drill down and roll up

%

Data visualization

%
Worst features

Online analytical processing (OLAP)

%

Self-service

%

Mobile access

%

Semantic and text analytics

%

Predictive analytics

%

18. TIBCO Spotfire

7.92
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:7.92
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Data visualization

%

Mobile access

%

Dashboards

%

Managed Query Environment (MQE)

%

Drill down and roll up

%
Worst features

Flexible data sources

%

Self-service

%

Predictive analytics

%

Semantic and text analytics

%

Security

%

19. Birst

7.89
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:7.89
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Mobile access

%

Dashboards

%

Managed Query Environment (MQE)

%

Online analytical processing (OLAP)

%

Data visualization

%
Worst features

Predictive analytics

%

Drill down and roll up

%

Self-service

%

Security

%

Semantic and text analytics

%

20. Sisense for Cloud Data Teams

7.85
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:7.85
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Data visualization

%

Dashboards

%

Managed Query Environment (MQE)

%

Flexible data sources

%

Self-service

%
Worst features

Drill down and roll up

%

Online analytical processing (OLAP)

%

Semantic and text analytics

%

Predictive analytics

%

21. Oracle Analytics

7.66
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:7.66
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Dashboards

%

Managed Query Environment (MQE)

%

Data visualization

%

Security

%

Drill down and roll up

%
Worst features

Flexible data sources

%

Self-service

%

Predictive analytics

%

Semantic and text analytics

%

Mobile access

%

22. Alteryx

7.59
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:7.59
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Drill down and roll up

%

Online analytical processing (OLAP)

%

Self-service

%

Predictive analytics

%

Flexible data sources

%
Worst features

Semantic and text analytics

%

Managed Query Environment (MQE)

%

Data visualization

%

Dashboards

%

23. Amazon QuickSight

7.58
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:7.58
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Security

%

Flexible data sources

%

Dashboards

%

Online analytical processing (OLAP)

%

Self-service

%
Worst features

Drill down and roll up

%

Managed Query Environment (MQE)

%

Data visualization

%

Predictive analytics

%

Semantic and text analytics

%

24. QlikView

7.34
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:7.34
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Dashboards

%

Data visualization

%

Drill down and roll up

%

Online analytical processing (OLAP)

%

Semantic and text analytics

%
Worst features

Self-service

%

Managed Query Environment (MQE)

%

Flexible data sources

%

Predictive analytics

%

Mobile access

%

25. BigID

7.03
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Our score and features analysis:

Total User Satisfaction

Total Expert Score

Market Position

} CloudRank™
Score:7.03
Customers company size

No. of employees:

1-10 11-50 51-100 100+
Best features

Security

%

Predictive analytics

%

Flexible data sources

%

Data visualization

%

Dashboards

%
Worst features

Drill down and roll up

%

Our report covered 25 most popular products from the Data Analytics Software category. We’ve analyzed their features, performance, integration, customer support, pricing, and several other key buying factors and combined it with feedback from user reviews to come up with the current list of best solutions:

Klipfolio managed to best 24 other competitors for the top spot in this year’s data analytics software CloudRank. Formerly known as Serence, the company initially focused on the consumer market and later moved into the dashboard and business intelligence space. Today, Klipfolio is one of the world’s leading data analytics software in the market.

This software is a cloud-based platform that allows businesses to build real-time dashboards that visualize critical data, automate data retrieval, and then manipulate it. It has a simple, intuitive interface engineered to aid its users and their organizations acquire real-time data from over 500 data sources which include web-based services such as Google Analytics, social media platforms like Moz and Twitter, on-premise data warehouses. This allows its users to make the most intelligent business decisions, take the best course of action, and drive their businesses towards success.

By seamlessly integrating with a wide array of data sources, Klipfolio can easily access mountains of information and automatically integrate and analyze it. This allows its users to focus on making better business decisions based on reliable and accurate data. As such, it comes to no surprise that more than 8,000 businesses trust Klipfolio to help them in their journey to grow their brands.

Most users of Data Analytics Software solutions confirm that in most cases these tools allow them to reach the following business goals:

  • It analyzes customers’ browsing habits and previous purchases to predict their future requirements. [ 86.2% of users ]
  • It assists us to find solutions to common issues. [ 85.6% of users ]
  • It enables us to generate customized reports. [ 85.0% of users ]
  • It helps us conduct interactive sessions with business users. [ 86.6% of users ]
  • It provides insights based on up-to-date info. [ 86.4% of users ]

How did we select products for this Data Analytics Software report?

The Winter 2022 version of the report includes a total of 25 Data Analytics Software products that were compared and analyzed by our team. We selected them based on the following factors:

  • Popularity of a given brand in the SaaS market (based on our own market research)
  • How popular a given brand is among FinancesOnline users (based on number of mothly readers for each review page)
  • Availability of statistical data generated from user reviews of a particular product (we excluded products with not enough data to draw meaningful conclusions)
  • The current listing reflects the state of our database and research as of February 2022. An updated version of the report will be released quarterly to keep data fresh and incorporate information about shifts and changing trends in the market.

What are the current Data Analytics Software trends?

Businesses to take advantage of data analytics and IoT Integration 

The estimated number of IoT connected devices by 2025 is 75.44 billion worldwide. As you can imagine, all these devices are producing data that businesses can use to gain a better understanding of their operations, develop new products and services, and provide a more personalized customer experience. 

In order to extract actionable insights from the large volume of data produced by the IoT, data analytics must take place. This will increase the reliance of businesses on data analytics software and other business intelligence tools that can make it easier to organize and make sense of the data they receive from various sources.

Source: Statista

Natural Language Processing (NLP) features will continue to increase in BI software

NLP capabilities help organizations better understand the context of their data. For example, it can help identify patterns in text search, understand social media sentiment, and make document review more efficient. It’s the technology that makes it possible for us to “talk to machines,” so when you need to know how your business revenue has changed in the last quarter, you simply ask the question. This is the same technology used in AI assistants like Siri and Alexa. 

Several BI software in our top 25 already integrate NLP in their features. Sisense and Tableau, for instance, can narrate data visualization with text. As a result, the subjective interpretation of graphs or charts can be avoided. 

Currently, NLP is not perfect; however, we can expect that the technology will improve and more BI and analytics vendors will include it in their product. Doing so will not only enhance user experience when performing queries but also make their product easier to use.

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Global Survey: Benefits of the Use of Data & Analytics

Global Survey: Benefits of the Use of Data & Analytics
Improved efficiency and productivity: 64

Improved efficiency and productivity

Global Survey: Benefits of the Use of Data & Analytics
Faster, more effective decision making: 56

Faster, more effective decision making

Global Survey: Benefits of the Use of Data & Analytics
Better financial performance: 51

Better financial performance

Global Survey: Benefits of the Use of Data & Analytics
Identification & creation of new product & service revenue: 46

Identification & creation of new product & service revenue

Source: Statista

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More businesses will utilize graph analytics 

Graph analytics, also called graph database, makes complex relationships between data simpler to understand via visual structures made up of lines and dots. Marketing managers, for example, use graphs when performing social network analysis. By studying a visualized representation of their data, they can identify strong influencers to work with in triggering interest and reactions for specific campaigns. 

Aside from marketing, graphs analytics can also be useful in spotting fraud or detecting money laundering activities. For instance, large transactions between bank accounts can be spotted and flagged by authorities.

In other industries, graphs analytics can streamline processes in manufacturing and optimize routes in the aviation industry. Governments and scientists have also been using the approach to fight the COVID-19 pandemic. Graphs can be used to determine cases and perform contact tracing. 

With a wide range of applications and benefits, it’s not surprising to know that graph analysis is expected to experience 100% growth until 2022. This makes us certain that BI software vendors will continue to enhance the data visualization capabilities of their products. 

Data analytics software is used by organizations and companies to get useful insight from the business data they collect. There are scores of quality programs in this niche. So, how do you do informed comparisons to select the best data analytics software for your needs? We make your task simpler by detailing the key factors and features that you should look for in data analytics tools.

Get to know each product with free trial

Start your search for the best data analysis software by registering for the free trial or demo of top tools. Popular data analysis software providers present this facility to help you try out their solution’s main features free of cost. You can also utilize the opportunity to do a detailed comparison with other apps. We recommend you check out Google AnalyticsIBM CognosMATLABTableau, and Minitab. These products have been given high ratings and rankings in our data analysis software reviews.

Targeted Businesses

Small, medium-sized, and large companies, as well as multinational organizations and global enterprises, can utilize data analytics software to make the most of the business data they collect.

Examples of Data Analytics Software

  1. Google Analytics: A popular web analytics service utilized by thousands of enterprises worldwide. It offers a range of premium analytics features for both mobile and traditional users. The tool summarizes data on clear dashboards from where you can generate different kinds of reports.  Individuals and small businesses can utilize the lifetime free package, while larger companies can opt for a paid plan for their greater needs.
  2. IBM Cognos: Offers a set of intelligent self-service features that enable you to make fast decisions based on insight. The best part is you can make or configure reports and dashboards on your own. The interactive and formatted dashboards boast custom visualizations, and scalable scheduling and distribution capabilities. Plus, you get a wide range of analytics tools such as analytical reporting, trend analysis, advanced analysis, and what-if analysis.
  3. MATLAB: A simulation, modeling, and programming solution. This Computer-Aided Engineering (CAE) system helps you to analyze data, build algorithms, and develop models. Its professionally designed tools have passed complete documentation and rigorous testing. Interactive apps show how different algorithms work with users’ data. In addition, the software is scalable and you can run analyses on clouds, GPUs, and clusters with minimal code alterations.
  4. Tableau: A business intelligence solution that enables organizations to visualize and comprehend their data. With this tool, you can quickly link, visualize, and share data seamlessly on all devices from the PC to the iPad. In addition, you don’t need coding skills to create and publish dashboards that can be shared with customers, colleagues, or partners. Tableau Desktop is a self-service analysis tool that helps you view data and answer queries quickly. Tableau Server assists you to publish dashboards from your Tableau Desktop on any mobile device or web browser.
  5. Minitab: A provider of statistics education and quality improvement software. Their main product, Minitab Statistical Software, is utilized by organizations to analyze and graph their business data. Besides, numerous universities and colleges also use this program. The Statistical Software works more effectively with the other solutions in the Minitab suite. These are Minitab Companion which offers a range of features to help companies attain product and process excellence, and Minitab Quality Trainer which assists users to master statistics.

Types of Data Analytics Software

data analytics tools can be used to perform 4 main types of analytics:

  1. Descriptive analytics. Tells you what happened. For example, retailers can learn the average weekly sales volume.
  2. Diagnostic analytics. Drills down to find dependencies and identify patterns. Companies can get deep insight into a specific issue.
  3. Predictive analytics. Forecasts what’s likely to happen. It uses the results of descriptive and diagnostics analytics to predict future trends.
  4. Prescriptive analytics. Prescribes the action needed to capitalize on a promising trend or eliminate a future issue. For example, companies can find opportunities for repeat purchases based on sales history and consumer analytics.

Key Features of Data Analytics Software

  1. Text and semantic analytics. Scrutinizes large volumes of text to identify sentiment, relationships, and patterns. This feature is applied to emailed communications, live chat conversations, and comments on social media.
  2. Predictive analytics. Makes forecasts about future opportunities and risks. For instance, predictive analytics can be utilized to test the impact of marketing campaigns based on the results of previous campaigns.
  3. Online analytical processing (OLAP). Studies multidimensional data from a number of perspectives. It comprises of three operations: data consolidation, data classification or sorting (drill-down), and data analysis from a specific perspective (slice-and-dice).
  4. Querying. A query is the question asked to a database. Answers are returned by the analytics solution in the form of data patterns and presented as reports.
  5. Managed Query Environment (MQE). This feature helps administrators set role-based limitations on the kind of queries users can submit, the type of databases the queries can access, and the kind of reports they’ll generate.
  6. Reporting. The results obtained from a database query are termed reports. They can be in different sizes and shapes based on the available data, the software utilized, and the particular nature of the query.

Benefits of Data Analytics Software

  1. Interactive sessions. Cloud-hosted data analytics software help you to analyze data effectively and get instant results. On top of that, you can invite your team members to take part in interactive sessions and give them access to the insights they require.
  2. Customized reports. You can easily generate relevant and comprehensive reports on key trends, patterns, and metrics. Pick the data you want included in a specific report and the software will generate it quickly using the latest available info.
  3. Anytime, anywhere access. Cloud-based solutions can be accessed from anywhere, on any internet-ready device. This allows you to login from anywhere, anytime to get quick answers and insights.
  4. Up-to-date info. Dated info is no good for making important decisions. Data analytics provides relevant and fully up-to-date info and insights based on current data.  
  5. Other benefits. You can find the link between your new marketing campaigns and enhanced sales. Analyze customers’ browsing habits and past purchases to predict their future needs. Finally, data analytics software helps you to boost internal workflows and find solutions to common issues.

Data governance. The European Union’s General Data Protection Regulation (GDPR) and other data regulations have made data governance important of late. Apart from regulatory compliance, another driver is data catalogs which make data sets in a data lake more organized and discoverable. Data discovery solutions help to make your data lake more usable. Thus, data discovery tools and data catalogs are further expected to drive the governance wave.

Cloud data lock-in. Data lakes based on cloud storage are being widely adopted. In fact, data lakes are an important selling strategy of top cloud vendors. Companies that store their data in a particular cloud solution are likely to do their analytics work on the same platform. This includes data preparation, predictive modeling, analytics, and model training. Thus, the winning cloud vendor is likely to get more business as they will lock in their clients.

Potential Issues

Technical issues. In a survey by SearchBusinessAnalytics.com, businesses named implementing analytics technology, consolidating these technologies, and managing multiple analytics tools as the top challenges they face in deploying analytics software.

Effective use of analytics. The above survey also found that effective use of analytics is another main challenge faced by companies. Other concerns are expanding the use of analytics technology to more users, and getting executive support and funding for analytics projects. Industry experts state that to successfully deploy analytics tools, companies need to focus on improving collaboration with business users and ensure they are able to efficiently utilize the new technology.

List of Data Analytics Software Companies

Order by:

Newest
  • Newest
  • Score
  • User Score
Product name:
Category:
Smart Score:
Price:
User Satisf.
User reviews:
Verofax reviews

Verofax

Data Analytics Software
8.0
$279
100%
BigID reviews

BigID

Data Analytics Software
8.7
By quote
97%
IdeaData reviews

IdeaData

Data Analytics Software
8.0
By quote
96%
WebScrapingAPI reviews

WebScrapingAPI

Data Analytics Software
8.0
$20
93%
Astera DW Builder reviews

Astera DW Builder

Data Analytics Software
8.7
By quote
96%
Graphite Note reviews

Graphite Note

Data Analytics Software
8.0
By quote
96%
Adspert reviews

Adspert

Data Analytics Software
8.0
€99
92%
MarketivSEO reviews

MarketivSEO

Data Analytics Software
8.0
By quote
94%
BIRD Analytics reviews

BIRD Analytics

Data Analytics Software
8.0
By quote
100%
Datrics reviews

Datrics

Data Analytics Software
8.0
$19.99
94%
Listinguish reviews

Listinguish

Data Analytics Software
8.0
$4
94%
Oracle Analytics reviews

Oracle Analytics

Data Analytics Software
9.1
$0.3226
94%
Amazon QuickSight reviews

Amazon QuickSight

Data Analytics Software
8.8
$0.30
92%
Mode reviews

Mode

Data Analytics Software
9.0
By quote
92%
Datawarehouse.io reviews

Datawarehouse.io

Data Analytics Software
8.0
$29
97%

Things to consider when you invest in a SaaS

Pricing details are a key consideration when you analyze SaaS vendors. Ask the vendor if they offer price protection and contractual flexibility. “Shelfware” has become a major problem in SaaS licensing as buyers end up paying for more than they require. Plus, to get pricing predictability, consumers are forced to subscribe to long-term agreements. Make certain you don’t get saddled with perpetual licensing and get locked in for a long time with a single provider. Ask about easy exit policies that assist you to move on to another provider if you are not happy with the services provided by the current one. Select a vendor that offers a convenient standard annual termination facility as well as long-term price protection.

Another important element to consider is whether the cloud vendor meets compliance and security requirements. Your firm is answerable to employees, clients, business partners, and regulators. Therefore, you should select a vendor that has adopted a technically sound and comprehensive security program. Map your security control requirements such as availability, integrity, confidentiality, privacy, and accountability to the provider’s capabilities. Ask the potential provider about the procedures and systems they use to protect your private data. Do they meet general as well as industry-specific compliance and security standards? Do they offer special measures to meet the unique security needs of your specific industry? Get satisfactory answers to these queries before you make the investment.

Frequently asked questions about Data Analytics Software

What is the best data analytics software?

The best data analytics software is Sisense. Sisense is a business intelligence platform that offers a comprehensive set of features that simplify data collection and analysis, making it easier for users to make data-driven business decisions. The platform is flexible, too, making it the ideal data analytics solution for businesses of all sizes.

With Sisense, users can easily combine data from multiple sources to gain valuable insights from a single source of truth. Built-in connectors for tools such as Excel, Google Adwords, and Zendesk ensure that joining different data sources takes just a few clicks. This ease of use ensures that users can spend less time on scripts and code and focus on analyzing data. These seamless integrations also improve accuracy even for large data sets.

Sisense is also designed for quick deployment and onboarding. Users can build interactive dashboards and reports through drag-and-drop functions. The system also comes with built-in data visualizations to help users discover insights more quickly. In addition to these features, Sisense provides AI-assisted exploration and automatic analysis to make data and insights more accessible to users.

What are the benefits of data analytics software?

Valuable business insights. Through data analytics software, users can discover valuable insights in the data they collect and use these insights to make more informed data-driven business decisions.

Advanced data analysis. Data analytics software can easily collect, process, and analyze large volumes of data. These platforms often come with features for forecasting and identifying trends in data as well.

No information silos. With data analytics platforms, data and insights are accessible to all users in the organization. The platform’s ability to combine multiple data sources also improves the accessibility of data.

Data accuracy. Data analytics systems can ensure that users work only from clean, organized datasets, and these tools’ built-in integrations for third-party tools help prevent errors caused by manual input.

Improved productivity and efficiency. Through these tools, users can spend less time tracking down data and instead focus on analyzing data. As a result, users can take advantage of data insights to improve their organization’s efficiency.

What are the features of data analytics software?

Dashboards and data visualization. Most data analytics software can visualize data and put graphs and charts on dashboards for easier tracking. These dashboards are also customizable so users can track key metrics for their organization.

Custom reports. Many of these solutions come with templates to help users quickly generate generic reports. Users can also create customized reports to drill down into more detailed data levels and take full advantage of available data.

Mobile access. Data analytics software also provide mobile access, so users can access data whenever needed. Some platforms offer web-based dashboards for this purpose, while others come with their own mobile app.

Integrations. The best data analytics software come with built-in connectors and integrations to ensure compatibility with third-party systems like CRM software and sales tools. These integrations can help users save time and effort in integrating multiple data sources.

Security and access management. Data analytics tools allow business owners and managers to set various user roles and access levels to ensure that only authorized users can access important business data. Other security features of data analytics software include SSO and data encryption.

What is the easiest data analytics software to use?

Data analytics solutions that are easy to use ensure faster deployment and adoption. The following tools are popular for their intuitive interface:

Salesforce Analytics Cloud. Salesforce Analytics Cloud is powered by Einstein Analytics and Tableau, both of which make it easier for users to visualize data and discover valuable insights. Users can use guided data exploration to query data and analyze data sets.

Looker. Looker ensures that data is easily accessible through built-in integrations with tools such as Google Drive and Dropbox. The platform also makes it easy for users to design their own data visualizations.

Reveal. Reveal is built on flexible architecture, so users can quickly embed data from the software into existing applications and tools. Dashboards are also responsive to enable real-time monitoring of KPIs.

What is a good free data analytics software?

Contrary to popular belief, data analytics software won’t necessarily burn a hole in your wallet. The following data analytics platforms have free plans available:

Qualtrics Research Core. Free users of the platform can build surveys with unlimited questions and up to eight question types. The Free plan also includes survey logic and randomization features, as well as summary reports and online reporting.

Zoho Analytics. The platform’s Free plan includes use by 2 users, as well as unlimited dashboards and reports. Users can also access up to 3 query tables and 5 workspaces and use the platform’s mobile app.

Google Analytics. One of the most popular data analytics platforms today, Google Analytics is a freemium web service that allows users to monitor a single website or mobile app through tracking codes, which collect data from site visitors.

Jenny Chang

By Jenny Chang

Jenny Chang is a senior writer specializing in SaaS and B2B software solutions. Her decision to focus on these two industries was spurred by their explosive growth in the last decade, much of it she attributes to the emergence of disruptive technologies and the quick adoption by businesses that were quick to recognize their values to their organizations. She has covered all the major developments in SaaS and B2B software solutions, from the introduction of massive ERPs to small business platforms to help startups on their way to success.

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