10 Top Business Intelligence Companies in 2025

Want to understand your customers, product’s performance, or market segments better? Well, working with a top BI company is the smart way to go.

BI helps improve operations and ultimately helps make more informed strategic decisions. But to help get you started, here are the top business intelligence companies to consider in 2025.

Business intelligence will help your key stakeholders gain visibility and understanding to improve areas like marketing campaigns, supply chains, and customer experiences - and here’s how.

What is Business Intelligence?

Business Intelligence (BI) involves the skillset, strategies, and tools used to collect, analyze, and present business data. The process begins with gathering and processing information, followed by analysis, visualization, and reporting.

A continuous part of BI work involves monitoring through BI platforms. Key technical processes include ETL (Extract, Transform, Load) and building data warehouses. For analysis, firms use statistical models, data mining, and increasingly, Artificial Intelligence (AI) and Machine Learning (ML).

How We Selected the Top Business Intelligence Companies

1. Deep Expertise and Strategic Guidance: BI consultants bring specialized skills in areas like data modeling, dashboard creation, ETL processes, and industry-specific reporting. They know how to convert data into usable insights and guide efforts on defining KPIs and structuring data projects that support broader business goals.
   
2. Access to Advanced Technology and Tools: These firms stay up to date with innovations such as AI-powered analytics, cloud-based BI platforms, and leading data visualization tools. Many also develop proprietary tools or accelerators, helping clients avoid heavy internal investment and complexity.
   
3. Accelerated Time-to-Insight and Value: Thanks to their experience and processes, BI companies can deliver results, from warehouse setup to dashboard deployment a lot quicker than most internal teams. This speed leads to faster decision-making and a quicker path to measurable impact.
   
4. Scalability and Flexibility: BI requirements vary over time. Some periods call for intensive support; others need lighter maintenance or occasional analysis. These firms adapt by adjusting resources and engagement models, such as project-based work or ongoing services, to match demand.
   
5. Improved Data Governance and Quality: Sound data management and accuracy are essential to reliable BI. Expert firms bring tested approaches for handling metadata, tracking data quality, and maintaining trusted systems for analysis.
   
6. Objective Perspective and Best Practices: External BI partners bring an impartial view of a company’s data challenges and workflows. With experience across industries, they guide clients around common challenges and help refine strategies using proven methods.
   
7. Focus on Core Business: Outsourcing complex BI tasks to specialists, internal teams can focus on broader priorities without getting caught up in the technical aspects of BI system setup and management.

Top Business Intelligence Companies

1. Entrans

Entrans positions is a top business intelligence company focused on data visualization, data engineering, and big data solutions.

While newer compared to some legacy firms, it emphasizes agility and expertise across popular BI platforms. Entrans as a company specializes in improving data pipelines and CI/CD deployment, employing certified professionals across AWS, Azure, and GCP.

As a company, Entrans uses historical and current data to inform operational and tactical decisions, often through standardized reporting and dashboards. However, with Fortune 500 companies as its clients and the launch of its own agentic AI platform - Thunai, we’d say Entrans is a top business intelligence services company for its wide skillset.‍

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Key Services of Entrans:

• Business Intelligence and Data Visualization: Builds custom dashboards using Power BI, Tableau, Looker, Amazon QuickSight, and Cognos, helping teams act on data in real-time.
  
• Big Data and Scalable Data Lakes: Construct secure data lakes with tools like Hadoop, Spark, AWS, and Azure to support large-scale storage and processing.
  
• AI-Driven Analytics and Predictive Insights: Applies AI/ML to detect trends, automate workflows, and improve forecasting.
  
• Cloud Data Engineering and Workflows: Handles data movement, transformation, and legacy system migration across AWS, GCP, and Azure.
  
• Data Security and Compliance: Aligns analytics work with GDPR, SOC 2, and ISO frameworks using encryption and governance practices.
  
• Strategic Data Consulting: Shapes data strategy to match business direction and improve how value is drawn from information.

2. PwC

Founded in 1998, but with a history that goes back to 1849, PwC is one of the "Big Four" companies. In terms of business intelligence services, PwC combines deep industry knowledge from its assurance and tax heritage with advisory and technology consulting.

Although its services are a lot of the time centered around legal consulting, taxes, and finance, PwC has reliable BI and data analytics services, making it one of the top business intelligence companies for enterprises to work with.

 Key Services of PwC:

• Data, Analytics, and Insights: Provides comprehensive services covering data strategy, modernization, cloud migration, reporting, insight generation, AI/ML implementation, and managed data/BI operations.
  
• Cloud Transformation: Assists clients with migrating and optimizing analytics workloads on major cloud platforms.
  
• Business Advisory and Consulting: Leverages BI and data insights within broader consulting engagements across finance, risk, operations, and deals.

3. Capgemini

Founded by Serge Kampf in France back in 1967, Capgemini is now a global leader in consulting, technology services, and digital transformation.

As a data transformation and business intelligence company, Capgemini makes use of its strong engineering background and significant global delivery network to deliver tech solutions. The Sogeti brand is a subsidiary focusing on local IT markets.

Key Services of Capgemini:

• Data and Artificial Intelligence: Capgemini has a data and AI portfolio including BI strategy, data transformation, data governance, enterprise data management, data science, AI-powered innovation, people analytics, and data-driven finance/risk/compliance.
  
• Intelligent Process Automation: Uses process mining, RPA, and AI to automate data-intensive processes.

4. Accenture

A global powerhouse in consulting and technology, Accenture integrates BI and data analytics deeply into its services. Technically started as a division of the accounting firm Arthur Andersen in 1953, the company has since grown its services and offerings.

One of the top business intelligence companies as of 2025, Accenture uses its vast scale and extensive partnerships for insight and industry trends. As a whole, the company emphasizes the use of Al and data for transformation.

Key Services of Accenture:

• Data and Artificial Intelligence: Offers end-to-end BI and data services, including data transformation, cloud migration for analytics, BI platform implementation, advanced analytics, and AI-driven insights.
  
• Cloud Services: Cloud strategy, migration, and management services across major platforms (AWS, Google, Microsoft, Oracle, and SAP).
  
• Intelligent Automation: Uses AI/ML and platforms like Accenture Intelligent Data Quality to automate data processes and enhance insights.

5. BearingPoint

An independent management and technology consultancy with strong European roots and global reach through alliances, BearingPoint offers structured BI, data, and analytics services with a focus on business value.

Tracing its origins back to a consulting arm of KPMG, the company rebranded to BearingPoint as of 2002. In the last two decades, BearingPoint has come to specialize in data analytics and governance along with many other IT services, making it one of the top business intelligence companies as of 2025.

‍Key Services of BearingPoint:

• Data and Analytics Strategy: Includes maturity assessment, CDO advisory, use case definition, and establishing data strategy roadmaps.
  
• Data Visualization: Creates dashboards, utilizes graph analytics, and focuses on data storytelling.
  
• Intelligent Agents and Automation: Develops chatbots, intelligent routing solutions, and uses process mining, often leveraging IP-driven products/accelerators (AML Booster, Optix, Data Quality Navigator, Generative AI Hub).

6. IBM 

The professional services arm of the technology giant IBM, uses its extensive technology portfolio, particularly the Watsonx AI and data platform, to deliver technology-led BI and transformation services.

A major expansion occurred with the 2002 acquisition of PwC Consulting.

Key Services of IBM:

• Data and Analytics Consulting: Has services covering data strategy, data architecture (including data fabric), data modernization, BI implementation, and advanced analytics.
  
• Artificial Intelligence (AI) Services: Sells AI strategy, development, implementation, and governance, heavily utilizing the Watsonx platform and IBM Advantage platform with AI assistants.
  
• Cloud Consulting: Advises on and implements hybrid and multi-cloud strategies for data and analytics workloads.
  

7. AlphaSense

AlphaSense stands out as an AI-powered market intelligence and search platform rather than a traditional BI consultancy. Why is it on this list? Well, as far as BI platforms go, AlphaSense provides one that is versatile to use, making it a top business intelligence company on our list.

AlphaSense as a company provides tools and curated content for research and insight generation, primarily serving finance, corporate strategy, and competitive intelligence professionals.

Key Services of AlphaSense:

• AI-Powered Market Intelligence Platform: Provides a search engine leveraging proprietary AI (NLP, ML) to analyze and extract insights from a vast content universe (broker research, filings, transcripts, news, internal data).
  
• Generative AI Tools: Includes features like Smart Summaries (earnings, SWOT) and Generative Search (AI chatbot for Q&A based on content).
  
• Enterprise Intelligence Integration: Allows integration of clients' proprietary internal content for unified search.

8. Deloitte

The world's largest professional services network by revenue, Deloitte offers a vast array of services, with BI and data analytics being a core component of its consulting and advisory practices, supported by strong technology alliances and platforms.

Key Services of Deloitte:

• Artificial Intelligence and Data Services: Has BI solutions including AI Strategy, AI Insights and Engagement, Analytics and Data Modernization (cloud platforms, big data), using its CortexAI platform.
  
• Cloud Services: Deep expertise in migrating and managing analytics workloads on major cloud platforms through strong alliances (AWS, Google Cloud, Snowflake, etc.).
  
• Audit and Assurance: Leverages data analytics to enhance audit processes.
  
• Industry-Specific Solutions: Develops tailored BI and AI solutions for sectors like financial services (Acquisition AI) and healthcare (Health 360).

9. InfoSys

A global leader in IT services, consulting, and business process outsourcing, Infosys leverages its pioneering Global Delivery Model (GDM) and significant investments in AI and cloud platforms to offer comprehensive and often cost-effective BI solutions.

Key Services of Infosys:

• Data Analytics and AI: Provides end-to-end services from insights and modeling to AI/ML implementation using its Infosys Topaz AI offering and platforms like Infosys NIA | Data.
  
• IT Services & Application Development: Uses its GDM for large-scale development and maintenance of BI applications.
  
• Business Process Management (Infosys BPM): Transforms business processes using data analytics and AI/GenAI insights.

10. McKinsey & Company

One of the world's most prestigious strategy consulting firms (MBB tier), McKinsey addresses BI through a strategic lens, enhanced by the advanced analytics and AI capabilities of its specialized unit, QuantumBlack.

Key Services of McKinsey & Company:

• Strategy Consulting: Advises C-level executives on leveraging data, analytics, and AI for competitive advantage, market strategy, and performance improvement.
  
• AI and Data Strategy (via QuantumBlack): Develops strategies for AI transformation, data modernization, and establishing data-driven organizations.
  
• Advanced Analytics and AI Implementation (via QuantumBlack): Implements complex AI/ML models and data solutions to support strategic goals, focusing on 'hybrid intelligence'

How to Choose the Right Business Intelligence Company for Your Business

With so many Business Intelligence consulting companies out there, how do you pick the right one without feeling overwhelmed? Here's how to get it right:

• Clarify Your Business Priorities: Before exploring BI firms, outline what you want to achieve. Are you aiming for better customer insight, smoother operations, sharper forecasting, or stronger financial visibility? Knowing your focus helps you narrow down firms with the right kind of background.
  
• Evaluate Their Track Record and Industry Knowledge: Not every BI company works across the same sectors or platforms. Find a team with documented experience in your field—whether that’s finance, healthcare, retail, or another. Make sure they have familiarity with the tools you already use or plan to use, like Power BI, Tableau, or Snowflake. In doing so, review their past work and client feedback.
  
• Review Their Technology Stack and Methods: Confirm that they’re using up-to-date analytics tools and techniques—including AI or ML, if needed. Do they offer accelerators or proprietary solutions? Understand how they handle data architecture, ETL, and dashboard development—and whether that matches your project’s scope.
  
• Check for Data Privacy and Legal Compliance: Because BI involves sensitive information, the company should follow strict security practices and align with laws like GDPR, CCPA, or HIPAA. Ask abot their certifications and how they manage access, encryption, and audit trails.
  
• Look Into Case Studies and Reviews: Ask for real examples of results they’ve helped achieve, and read reviews on third-party platforms like G2 or Gartner Peer Insights. Request references so you can hear firsthand how reliable and skilled the team is.
  
• Make Sure They Can Scale With You: Choose a firm that can adjust its support based on your evolving needs. Whether it’s a focused engagement or an ongoing partnership, the company should offer models that fit your BI goals both now and in the future.

Future Trends in Business Intelligence

Staying ahead of trends helps you choose a BI partner that won’t fall behind.

• AI-Driven Analytics (Augmented Analytics): Artificial Intelligence and Machine Learning are becoming more common in BI tools—automating data prep, revealing insights faster, writing plain-language summaries, and offering predictions. These advances help make analytics more usable across teams.
  
• Working With Live Data (Real-Time BI): Instead of relying only on past reports, businesses are turning to real-time data. This shift supports quicker decisions in fast-moving markets and depends on streaming data technologies.
  
• BI for Everyone (Data Access and Self-Service): Self-service BI tools are giving employees more control to explore and act on data themselves. This helps reduce backlogs and allows business units to move faster—assuming there’s strong governance and support for building data fluency.
  
• Cloud-Based Analytics: With data growing quickly, many businesses are storing and analyzing it in the cloud—on platforms like AWS, GCP, Azure, or Snowflake. These setups offer more flexibility, easier access, and better cost control than on-prem systems.
  
• Data Ethics and Privacy: More rules and rising expectations around privacy mean companies are building analytics systems that keep data use ethical and secure. That includes new practices like differential privacy and distributed learning, along with formal controls around how data is accessed and used.
  
• Modular BI Architectures: Companies are moving away from all-in-one BI platforms and instead picking the best tools for each job—whether it’s for warehousing, modeling, AI, or visualization. This approach needs careful planning but makes BI systems more adaptable over time.
  

Why Choose Entrans as Your Business Intelligence Partner?

Hiring the right BI services partner boils down to picking the right company for transforming the vast amount of data generated from your different operations.

When it comes to Business Intelligence Companies, Entrans comes with engineers with a wide skillset in data engineering, data modelling, SQL mastery, cloud engineering, and data visualization.

Aside from this, we’re also equipped to migrate your platform and modernize your data pipeline with CI/CD frameworks.

Stop making uninformed decisions! Book a consulting call with Entrans to see how we can help you with Business Intelligence.

FAQs on Business Intelligence

What Do Business Intelligence Companies Do?

A Business Intelligence (BI) firm helps businesses use data to make more informed decisions. This includes collecting information from different systems, preparing and organizing it (often in a data warehouse), then analyzing and presenting it using tools like Power BI or Tableau. Their work spans from strategic advice to hands-on setup and ongoing support.

How Is Business Intelligence Different From Data Analytics?

BI is typically about reviewing past and current results using reports and dashboards—what happened, and why. Data Analytics includes that but also looks ahead, using tools like predictive models and optimization to guide future choices. Modern BI tools often blend both.

What Skills Should You Look for in a BI Partner?

Key skills include experience with BI platforms and data warehousing, strong data modeling and ETL capabilities, fluency in visualization techniques, and a solid grasp of data safety rules. Also useful: industry-specific knowledge, AI/ML experience, and project management skills to keep things on track.