8 Best Business Intelligence Platforms for Analytics and Data Visualization [2023]

The global BI software market is expected to grow from $24 billion in 2022 to over $32 billion by 2026 per the latest forecast by Gartner. This indicates the tremendous value that organizations are starting to realize from advanced analytics solutions when it comes to guiding strategic decisions.

With data emerging as one of the most vital corporate assets in today‘s ultra-competitive, fast-paced business environment, enterprise interest in business intelligence keeps growing exponentially. Advances in visualization, big data integration, cloud platforms and augmented analytics have made BI solutions indispensable for C-suite leaders as well as line of business teams on their data-to-insights journey.

This article offers a comprehensive look at 8 leading BI software platforms that offer unmatched analytical prowess along with stunning data visualization capabilities.

What‘s Driving Business Intelligence Adoption

Need for advanced visualizations beyond basic tables and graphs, ability to centralize disparate data sources for a single source of truth, enabling embedded analytics across workflows, migrating analytics to the cloud with lower TCO are all key drivers of investing in BI platforms today.

Another vital factor is the democratization of business intelligence through intuitive self-service models that empower every business function. This is crucial as insights can translate to tangible outcomes only when put directly in the hands of decision makers instead ofisolated within IT teams.

From banking to manufacturing to professional service firms, leading industries are ramping up their BI software investments to accelerate data-to-value. Let‘s analyze the top offerings:

1. Sisense

Sisense calls itself the world‘s most advanced cloud-native platform for builders of analytic apps, designed to simplify complex data and accelerate innovation. The end-to-end Sisense Cloud Platform enables developers to quickly build and embed analytic apps across devices.

Key Security Capabilities

Sisense utilizes role-based access control, TLS encryption, session timeouts, VPN and proxy support to protect app data across complex multi-cloud environments. It also leverages authentication integrations with leading identity providers like Okta, Azure AD, AuthO etc.

Sample Customer Dashboards

Sample Sales Dashboard

Sample Sales Dashboard powered by Sisense

Notable Customers

Intel, NASDAQ, Philips, UiPath, Fujitsu, GE

Scalability Stats

Sisense is built to handle over 100 data connectors and billions of rows of data while supporting thousands of users. The storage layer can scale instantly to accommodate growth in data volumes.

Dundas BI

Dundas BI positions itself as the all-in-one business intelligence and data visualization solution designed for enterprise scalability. IT teams can customize branding, security policies, governance needs etc. while business users can handle reporting and dashboards themselves.

Robust Access Controls

Dundas BI provides authentication via SAML 2.0 integration and Active Directory objects. Row level security policies restrict data access. All user actions are logged for auditing needs. Data is encrypted in transit and at rest.

Sample Dashboards

Manufacturing Metrics Dashboard

Sample Manufacturing Metrics Dashboard

Major Customers

GAP, Caterpillar, Chevron, Nike, eBay

Scalability Metrics

Dundas BI is designed to scale up to handle tens of thousands of concurrent users while connecting to databases up to the multi-petabyte range in size, as per capability benchmarks.

Qlik Sense

Qlik helps large enterprises adopt a modern approach to business intelligence and analytics through its end-to-end DataOps platform. It augments and enhances existing data ecosystems instead of replacing them.

Advanced Security

Qlik Sense analytics utilizes AES 256-bit encryption for securing sensitive data fields. Its data anonymization capability creates realistic but scrubbed test datasets. Robust identity and access controls are coupled with detailed activity logging for audits.

Intuitive Visual Exploration

Interactive Sales Analysis Sample

Interactive Sales Analysis with Qlik Sense

Major Customers

L’Oréal, Verizon, Airbus, Fujifilm, Skoda

Scalability Strengths

Qlik Sense leverages clustered load balancing, failover capabilities and cloud deployment models to offer virtually unlimited scalability. According to verified benchmarks, it has handled query federation across 100s of app instances totaling 34 billion rows of data.

IBM Cognos Analytics

As a leading on-prem and cloud BI solution for enterprises, IBM Cognos Analytics enables business users to work smarter and faster by automating redundant tasks. It sources data from wherever it resides and transforms it into impactful insights.

encryption, data lifecycle management and regulatory compliance related functions.

Sample Analytics Report

Sales Trends and Forecast Report

Cognos Sales Trends and Forecast Report

Notable Customers

American Airlines, Scotiabank, Wipro, Marks & Spencer

Scalability Metrics

IBM Cognos leverages a distributed architecture to scale analytics over thousands of data sources handling over 500 concurrent users and queries according to verified capability benchmarks.

Microsoft Power BI

As a SaaS BI platform and part of the Azure ecosystem, Power BI makes AI-driven insights more discoverable, usable and shareable across organizations.

Advanced Data Security

Power BI provides field level encryption, data loss prevention mechanisms, usage analytics and robust access controls to safeguard analytics data across roles.

Intuitive Dashboards

Digital Marketing Dashboard

Interactive Digital Marketing Metrics Dashboard

Major Customers

Adobe, DBS Bank, Gap, IKEA, Chevron

Scalability Metrics

As a cloud native solution, Power BI can scale on demand to support bursting data volumes into the billions across tens of thousands of users, as per Microsoft‘s estimates around tested capacity.


As an industry-agnostic, cloud analytics solution, GoodData enables enterprise architects, data analysts and engineers to unlock deep insights within diverse data sources.

Managing Access

GoodData enables granular privilege management, IP-based restrictions, regional data handling as well as detailed logging of various user events for auditing needs.

Sample Analysis Dashboard

Marketing Budget Dashboard

Digital Marketing Budget Analysis Dashboard

Notable Customers

Unilever, Lufthansa, NewsCorp, Morningstar

Scalability Metrics

GoodData is routinely benchmarked to handle over 20 billion rows of data supporting analytics demands from upwards of 50,000 end users, as per tests in client environments.

TIBCO Spotfire

Part of TIBCO’s Connected Intelligence Platform, TIBCO Spotfire aims to help professionals instantly uncover trends, outliers etc. via interactive data discovery dashboards.

Advanced Security Model

Spotfire‘s enterprise security includes role-based policies, authentication integration, audit logs and TLS encryption during data access. Data masking techniques and digitally signed dashboards ensure integrity.

Unique Data Perspectives

Retail Performance Dashboard

Retail Channel Performance Dashboard

Long-term Customers

Banco Santander, GRDF (Gas Networks), Swisscom, ASICS

Scalability Benchmark

Spotfire scales out using server clusters and cloud infrastructure to support complex analysis, modeling, simulation across billions of rows and demanding user loads as high as 10,000 plus.

Additional Key Trends in Business Intelligence

IDC estimates that by 2025, over 33% of Fortune 500 companies will have invested in dedicated data storytelling teams to communicate insights better. Furthermore, Ventana Research noted over 200% improvement in productivity with adoption of cutting-edge analytics like AI/ML across key processes like sales, marketing, finance etc.

Leading organizations across manufacturing, retail and banking sectors have measured over 30% higher ROI within the first year of their BI programs as per multiple published case studies. Companies are taking data-driven decisions faster and more confidently. Using automation and machine learning, they are also refining decisions in a continuous cycle.

As analytics becomes accessible to a wider audience beyond data experts, platforms continue to enhance self-service capabilities through natural language interfaces. Voice-driven analytics will enter the mainstream over coming years with virtual assistants responding to spoken questions and building visualizations on demand.