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Business Intelligence BI Tools
Effective Business Analytics Tools

Vipul Sharma, 5th April

“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.”

Geoffrey Moore

Given the size and amount of data the business world produces, it is crucial to have robust and effective business analytics tools that can use this vast amount of data and draw the most insightful conclusions from it.

Plenty of information is being shared within systems, regardless of the type of software solution — ERP, CRM, SCM, etc. — and there is no turning back. It is expanding exponentially at a rapid rate.

The most excellent way to gather data, analyze it, and provide real-time insight into it for the best business decisions and futuristic actions is through business intelligence and tools for business analytics.

The global business analytics market size was valued at USD 68.5 billion in 2020 and is expected to reach USD 164.0 billion by 2026, growing at a CAGR of 14.3% from 2021 to 2026. (Source: Markets and Markets)

What Exactly is Business Analytics?

Business analytics involves collecting procedures, tools, and rules for resolving commercial problems using statistical models, data analysis, and other suitable quantitative techniques.

The finest decision-making for the organization is provided by a cyclical approach to data exploration that relies on statistical analytics and gathers valuable data from all related systems and business software. The top business analytics software retrieves previous data and examines it to discover trends and patterns, identifying the root cause of problems.

These analytical tools for business use various techniques, including data mining, diagnostic analytics, prescriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.

Data mining, data aggregation, text mining, sequence identification, forecasting, optimization, data visualization, and other elements make up business analytics tools.

Essentials of a Business Analytics Tool

As we recognize the value of using powerful analytical tools for business, the following are some essential qualities that these tools need to exhibit to produce the most significant outcomes:

  • Data preparation, management, mixing, and wrangling
  • Real-time analytics and a perceptive interface
  • Data analytics scalability
  • Strong support for analytics and third-party integration
  • Simple to use perceptions
  • Simple and direct analytics
  • Total security and version control
  • Streamlined processes
  • Client/customer experience
  • Risk reduction and management
  • The ability to make wise business judgments

Top 8 Tools for Business Analytics Informational Insights

Here are the ultimate business analytics tools that have been crucial in obtaining the best efficacy and ROI in a world where data rules:

  • QlikView
  • Power BI
  • Tableau
  • Sisense
  • TIBCO Spotfire
  • Pentaho
  • Oracle Analytics Cloud
  • Google Analytics

The global market for data discovery tools is anticipated to grow from USD 4.4 billion in 2020 to USD 14.4 billion by 2025, at a CAGR of 26.4% during the forecast period. (Source: MarketsandMarkets)

1. QlikView

Because of its critical attributes, including in-memory processing, quick report delivery, and unique technology, QlikView is a top business analytics solution.

This tool, developed by Qlik, is fast and straightforward to deploy and learn. With related colors and automatic data connection, it makes it easier for users to visualize data relationships.

Advanced programming experience is not required; only a working knowledge of SQL and VB Script will do. QlikView is the perfect tool for new businesses and small businesses. It has been a generation-next software that empowers users for free data exploration on any device through comprehensive searches and visualizations as a data discovery and customer insight tool.

2. Power BI

Power BI, a well-known analytical tool powered by Microsoft, manages stored and real-time data to produce the best business intelligence. It controls data both locally and on the cloud.

Engaging visualization and collaborative reports provide a platform for data collection, analysis, and visualization, motivating businesses to boost profitability and learn about customer impressions.

Live dashboards, Data Analysis Expressions (DAX), data aggregation, AutoML, enhanced data analytics, and data access to numerous sources are all provided by Power BI. Given that it has a primary interface, it does not require developing any coding expertise.

3. Tableau

Tableau is an extensive, thorough, safe, scalable BI and analytics platform that gives businesses the most excellent data strategies. Its capabilities for unstructured text analysis are dynamic and current. Tableau provides predictive analytics and statistical tools for social media network analysis.

Various tools from Tableau’s product line enable data collection, in-depth analysis, and enhanced visualization for data-driven decisions.

Since Tableau uses data analytics, it is safe, dependable, and strong. With the aid of a unified platform, users can connect, share, and cooperate with ease. It provides straightforward integration with many data sources, is mobile-ready, and is cloud-ready.

In a survey of 362 businesses, the most popular types of data analytics tools used are descriptive analytics (used by 94% of respondents), predictive analytics (used by 87% of respondents), and prescriptive analytics (used by 60% of respondents). (Source: McKinsey & Company)

4. Sisense

One of the top tools in the analytics sector is called Sisense. It includes dynamic text analysis functionalities, empowering users to transform unstructured text into relevant information quickly. Via a scalable architecture, it is a complete data analytics solution that provides data discovery and analytics to all stakeholders.

Sisense uses open-source language for many computations and provides consumers with visualization of complex data.

Sisense assists users in making data-driven decisions that produce precise and forward-looking forecasts. It includes full-stack data analytics, embedded analytics, data exploration, a user-friendly interface, predictive analytics with machine learning, and straightforward discovery sharing.

5. TIBCO Spotfire

One of the contemporary business analytics solutions is Spotfire, powered by TIBCO. It allows consumers to run business analytics reports spread over various time durations. It could analyze text-based unstructured data and is scalable.

It provides strong support for streaming analytics using data from chatbots, IoT devices, and other sources. Users can view basic metrics on every type of mobile device with drill-down functionality.

With a JavaScript API, Spotfire provides a solid connection to external online apps. Users can embed dashboards and visualizations using this. It provides a complete picture by combining geographic data. Many pre-designed connectivity options are available.

6. Pentaho

Pentaho has dominated business intelligence and analytics. It helps users gather information to make the best business and data management choices.

Dashboards, data modeling, reporting, visualization, etc., are all available. By combining data from numerous sources, doing real-time analysis, and engagingly presenting results, this cutting-edge BI tool aids users in making better decisions across the business.

Pentaho provides users with advantages, including quick and adaptable processes, integrating various data types, real-time data ingestion from IoT devices, less coding, and a more manageable learning curve.

7. Oracle Analytics Cloud

Oracle Analytics Cloud is a unified analytical platform that enables users to query any data source with any question. It facilitates cloud analytics and provides quicker access to data sources.

It comprises a pre-made collection of applications that businesses of different shapes and sizes can use. With the help of its multidimensional analytical engine, accurate forecasting and projections are possible.

This application has various pre-made visualizations, like the spark chart, personalized picture maps, etc. Users that use AI and ML-based computations can gain richer insights.

8. Google Analytics

A free analytics tool offered by Google is called Google Analytics. It aids in the calculation and monitoring of several metrics that might be crucial in making critical business-related decisions. It provides many automatically generated reports that produce visually appealing reporting and data visualization.

There are several integrations, tag management, funnel analysis, and data activation.

Additionally, it supports flow visualization, audience reports, custom analytical reports, campaign measurement, and goal monitoring. It improves online advertising by using marketing analytics, SEO, and content marketing.


The future of business is in business intelligence and analytics, and business analytics tools are the ones that put good analytics into practice. The top business analytics tools have established value across numerous industries, regions, and companies.

The organization and its evaluation criteria will determine which of these to choose because they are all excellent and well-liked. With clever, thorough, and sophisticated BI analytics tools, organizations have learned the potential of data.

Business owners can decide which business analytics software to use based on cost analysis, skill requirements, resource availability, project deadlines, and organizational objectives.


Vipul Sharma

Vipul Sharma is an Experienced Enterprise Architect with a demonstrated history of working with business requirements and providing architecture solutions in the Healthcare, Retail & and FinTech with Business Intelligence Consulting and Building BI Dashboards.

He is passionate about solving complex business problems in a scalable manner through data-driven insights and cross-functional collaboration. He has worked with Microsoft and VMWare to solve problems related to Customer Journey analysis, Inventory tracking and Cost Scheduling.

Vipul has proven expertise in Analytical Skills, Data Engineering, Data Warehousing, Business Intelligence, Analytics and Amazon Web Services (AWS). Strong engineering and management professional and completed his Masters's Degree in Finance from the University of Rochester.

He is the founder of Prefigure Technologies in Seattle Washington to Offer Business Intelligence Services, BI Consulting, BI Implementation support, and BI Training.