Best Business Intelligence Software Reviews & Comparisons

Best Business Intelligence Software Reviews & Comparisons

25 Most Popular Business Intelligence Software

Here is a list of all 25 Business Intelligence 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:

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

16. Sisense for Cloud Data Teams

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

19. SAS Business Intelligence

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Worst features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Worst features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Worst features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Best features

Filter-based on Data Columns

%

Our score and features analysis:

Customers company size

No. of employees:

1-10 11-50 51-100 100+

Our report covered 25 most popular products from the Business Intelligence 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:

  • 2020 Business Intelligence Software Leaders: Sisense, Looker, Reveal, QlikView, Klipfolio, Grow.com
  • 2020 Business Intelligence Software Contenders: SAP Lumira, Qlik Sense, Zoho Analytics, SAP Crystal Reports, Tableau, Microsoft Power BI, Domo, IBM Cognos, Segment, Sisense for Cloud Data Teams, Clari, GoodData, Chartio
  • 2020 Business Intelligence Software Rising Stars: SAS Business Intelligence, Cyfe, Alteryx, Heap Analytics

It is no surprise that Sisense is the top-ranked SaaS for Business Intelligence CloudRank 2020. The accolade is no fluke, Sisense has been garnering awards, earning Best Business Intelligence Software, Expert’s Choice, and Supreme Software awards from FinancesOnline this year alone. This puts a distinct margin between Sisense and some of its closest competitors.

Consistent metrics in user satisfaction and expert scores elevate its CloudRank score. It is also notable that a relatively young company with limited market reach has captured the attention of varied businesses regardless of company size. Sisene has hundreds of clients under their belt with a source reporting mid-market and enterprise companies showing a preference to Sisense and giving it as much as a quarter of total market share.

Excellent ease of use scores are augmented with responsive customer support based on email, phone, and tickets. Additional assistance is also implemented with online documentation and webinars.

Data is deployed on-premise or hosted via cloud on a variety of platforms—Linux, Mac, Android, iPad / iPhone, and web-based. There’s a free trial that allows you to check what the software can do for your business and quote-based annual pricing that lets you scale it to your business’ data needs.

Aside from high expert scores, user reviews are also in constant agreement with the powerful BI capabilities of Sisense. Another point in Sisense’s favor that consistently crops up in user reviews is the specific, actionable insights the SaaS derives from the data it is provided. Equally important is Sisense’s near-perfect integration score which makes it easy to adapt to existing systems. Putting these together cements Sisense’s top position in the Business Intelligence CloudRank for 2020.

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

  • It allowed the tracking and displaying of individual performance scores. [ 86.7% of users ]
  • It created an atmosphere where everything is transparent and everyone is accountable. [ 85.6% of users ]
  • It empowered employees to deliver high quality performance and output. [ 85.6% of users ]
  • It enabled the gathering and analysis of high quality information and insight for better business decisions. [ 85.6% of users ]
  • It helped in getting members on the same page and work together as a team. [ 87.0% of users ]

How did we select products for this Business Intelligence Software report?

The Summer 2020 version of the report includes a total of 25 Business Intelligence 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 August 2020. 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 Business Intelligence Software trends?

The democratization of data.

Deriving insights from data is no longer strictly the domain of data scientists and IT professionals. With the rise of collaborative business intelligence with self-service tools, there will be less of a need for data scientists when analyzing data and generating reports. Self-service tools enable these tasks to be more manageable and collaborative.

Data democratization will give rise to so-called citizen data scientists. By 2020, over 40% of data science tasks will be AI-assisted which will result in increased productivity for citizen data scientists. AI-enabled data automation in business intelligence and management is projected to reduce the need for IT specialists by 20% by the year 2023. Indeed, AI is predicted to play an increasingly larger role in BI.

Data scientists and info tech experts are not rendered obsolete but will move to higher-level complex tasks such as abstraction, which current and predicted AI has not been able to perform yet due to its high degree of human intuition.

Source: Aptude

Designed by

Artificial intelligence will become more human.

Developments in artificial intelligence and machine learning (ML) have brought what is now termed as “explainable AI” to the forefront of current trends in business intelligence. Explainable Artificial Intelligence (XAI) is a field in machine learning that can explain and justify its predictions, analysis, and insights derived from data in a way understandable by a human. XAI, therefore, provides a more credible and trustworthy output for users.

Gartner predicts that by 2022, 30% of companies will use explainable AI models to increase trust with business stakeholders. This figure is an incredible jump from the current next to zero use. Understanding and increasing trust in AI is critical as global revenue from the AI software market is projected to grow from $9.51B from 2018 to about ten times at $94.41B by 2024. 

The industries wherein XAI would play a strategic role are pharmaceuticals and financial services. Another Gartner forecast involves the employment of AI behavior forensics specialists. By 2023, over 75% of large organizations will hire these specialists to look into privacy and customer trust issues to mitigate brand and reputation risk.

Source: Blueshift

Designed by

Information is useful and will become even more valuable.

Data will continue to dominate businesses with information starting to be recognized as a corporate asset. Standards are being placed for a more strategic and disciplined way to monetize, manage, and measure data as a corporate asset.

Businesses are moving to the productization of services with a projected 90% of large enterprises generating revenue from data-as-a-service by the year 2020.

The responsibility of setting strategic standards to count data as a corporate asset falls on the chief data officer (CDO). NewVantage Partners Big Data and AI Executive Survey 2019 results showed 67.9% of firms surveyed have a CDO.

Also by 2020, the revenue growth from these products and services is expected to be double the growth rate of the balance of the product and service portfolios in over half of Global 2000 firms. Gartner predicts that by 2022, companies will be appraised by their information portfolio. So where does that leave BI as a sector? It’s expected to balloon into a $29.48 billion market by 2022.

 

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