1. Accenture
Founders: evolved from Arthur Andersen’s consulting practice (split in 1989).
Founded: 1989 (as Accenture).
Headquarters: Dublin, Ireland.
Product categories: BI & analytics strategy, data engineering, enterprise reporting, AI/ML, cloud data platforms, managed analytics services.
Description :
Accenture is the go-to for large, cross-industry BI transformations where data, processes and enterprise change must move together. They combine global delivery scale, deep industry teams (finance, retail, healthcare), and strong partnerships with cloud and BI platform vendors (Microsoft, AWS, Google, Snowflake, Tableau). For boards and C-suites needing governance, ROI modeling, and rapid cloud data-warehouse migrations, Accenture threads strategy, engineering and managed services into one program -useful for multi-country rollouts and embedded analytics at scale.
Key features:
- Global delivery + localized industry teams.
- End-to-end: strategy → data platform → BI UX → governance.
- Large ecosystem partnerships (cloud + ISVs).
- Proven at scale (multi-country rollouts).
- Strong change-management & monetization playbooks.
2. Deloitte (Deloitte Consulting)
Founders: William Welch Deloitte (firm roots); modern form via many historical mergers.
Founded: 1845 (origins).
Headquarters: London, UK (global network).
Product categories: Data strategy, analytics platforms, embedded BI, dashboards, data governance, AI/ML advisory.
Description:
Deloitte blends classic management consulting with advanced analytics delivery. Their strength is advisory-led BI: translating C-suite strategy into KPIs, data-operating models, and measurable value frameworks. Deloitte is frequently chosen when compliance, risk or complex organizational alignment matter (e.g., finance transformations, regulatory analytics). They pair strategic change with technical delivery and host relationships with major BI vendors.
Key features:
- Strategy + governance focus.
- Strong in regulated industries (FS, healthcare).
- Vendor-agnostic architecture capability.
- ROI and KPI operating model design.
- Large bench for transformation programs.
3. PwC (PricewaterhouseCoopers Advisory)
Founders: Samuel Lowell Price, William Cooper (historic), Robert H. Montgomery (as predecessors).
Founded: modern PwC formed 1998 (historical roots 19th century).
Headquarters: London, UK (network).
Product categories: BI strategy, data analytics, financial & tax analytics, performance management, managed analytics.
Description:
PwC combines accounting and audit heritage with analytics to deliver trustworthy BI -often engaged where data lineage, controls and regulatory transparency are priorities. Their advisory teams design KPI frameworks and financial analytics while tech teams implement cloud lakes/warehouses and dashboards. PwC is a fit for CFO-led BI programs and data-trust initiatives.
Key features:
- Audit-grade data lineage and controls.
- Finance & tax analytics expertise.
- Strong vendor partnerships and integrations.
- Emphasis on governance and compliance.
- Advisory → implementation continuity.
4. EY (Ernst & Young Advisory)
Founders: merged historical firms (Ernst & Whinney + Arthur Young); origins in early 1900s.
Founded: combined as EY in 1989 (ancestors earlier).
Headquarters: London, UK (network).
Product categories: BI advisory, advanced analytics, M&A analytics, data governance, performance analytics.
Description:
EY positions BI within risk, transactions, and transformation -particularly valuable when analytics needs to support M&A, tax, or regulatory reporting. They emphasize robust data controls and embed analytics into financial and transaction workflows, making them a frequent choice for deals, compliance reporting, and enterprise performance programs.
Key features:
- Strong transaction & risk analytics.
- Deep finance and compliance orientation.
- Integrated advisory + implementation teams.
- Data governance frameworks.
- Industry-specific analytics accelerators.
5. KPMG (Advisory & Data & Analytics practice)
Founders: formed through historic firms (Peat, Marwick, Klynveld, Goerdeler, etc.).
Founded: KPMG name from 1987 merger (roots older).
Headquarters: London, UK (network).
Product categories: BI strategy, forensic & audit analytics, data governance, reporting modernization.
Description:
KPMG focuses on trustworthy, controlled BI for enterprises with high regulatory demands. Their analytics work often sits alongside audit and risk services -useful where auditability, privacy and controls are non-negotiable. They help clients modernize financial reporting, automate regulatory dashboards, and build governance around BI platforms.
Key features:
- Auditable data pipelines and controls.
- Regulatory & compliance expertise.
- Emphasis on data privacy and governance.
- Integration with audit functions.
- Financial reporting modernization.
6. Capgemini (Insights & Data practice)
Founder: Serge Kampf.
Founded: 1967.
Headquarters: Paris, France.
Product categories: Data engineering, cloud data platforms, BI dashboards, ML/AI labs, managed analytics.
Description:
Capgemini brings strong engineering chops to BI programs -especially cloud migrations and data platform modernization. They combine system integrator experience with industry-specific solutions (retail, manufacturing, telecom). Clients pick Capgemini when they want robust delivery teams and IP for scalable BI pipelines and industry accelerators.
Key features:
- Strong cloud migration capabilities.
- Industry accelerators and IP.
- Large engineering delivery footprint.
- End-to-end data platform builds.
- Managed analytics & cost optimization.
7. IBM Global Business Services (Analytics & AI)
Founders: IBM founded 1911 (CTR → IBM).
Founded: 1911 (origins); services arm evolved over decades.
Headquarters: Armonk (NYSE: IBM) / global services operations.
Product categories: Enterprise data platforms, Cognos BI, Watson analytics, data ops, hybrid cloud BI.
Description:
IBM blends enterprise-grade software (Cognos, Datapower) with services for large legacy and hybrid IT environments. IBM is often selected for complex, on-prem → hybrid BI decoupling, and where clients require advanced AI applied to structured and unstructured enterprise data. Their credibility in large, regulated environments and deep tech stack is a differentiator
Key features:
- Strong hybrid and on-prem expertise.
- Enterprise BI products & IP (Cognos, Watson).
- Good for legacy modernization.
- Deep sector experience (banking, telco).
- Integrated AI + BI use cases.
8. Cognizant (Digital Business & Analytics)
Founder: Kumar Mahadeva (early leader in spin-out).
Founded: 1994 (as unit of Dun & Bradstreet).
Headquarters: Teaneck, New Jersey, USA (global operations).
Product categories: Data platforms, cloud analytics, reporting, BI managed services, AI/ML solutions.
Description:
Cognizant is chosen for pragmatic BI modernization across cloud and outsourcing-led models. They combine delivery scale with industry solutions and often run long-term managed analytics engagements for banks, insurers and healthcare players. Cognizant’s strength is practical, cost-focused BI delivery and operations.
Key features:
- Managed analytics and outsourcing models.
- Industry-tailored analytics solutions.
- Cloud migration + cost optimization.
- Long-term operations and support.
- Rapid scaling for enterprise data needs.
9. Infosys (Infosys Consulting)
Founders: N. R. Narayana Murthy, Nandan Nilekani, Kris Gopalakrishnan, S. D. Shibulal, K. Dinesh, N. S. Raghavan, Ashok Arora.
Founded: 1981.
Headquarters: Bengaluru, India.
Product categories: BI services, data engineering, InfoSys platforms (Finacle), cloud analytics, AI/ML consulting.
Description:
Infosys packs offshore engineering strengths with consulting teams to deliver cost-efficient BI transformations. Their approach emphasizes modular data platforms, industrialized analytics, and strong partnerships with major cloud/BI vendors. Good for enterprises seeking balance between cost and transformation velocity, with Indian delivery centers supporting scale.
Key features:
- Offshore/onshore delivery leverage.
- Industrialized analytics accelerators.
- Strong cloud partnerships.
- Cost-efficient delivery models.
- Sector IP (banking, retail).
10. Tata Consultancy Services (TCS) -Analytics & Insights
Founder: Tata Group (J.R.D. Tata involvement historically).
Founded: 1968.
Headquarters: Mumbai, India.
Product categories: Data engineering, enterprise reporting, analytics platforms, managed BI services.
Description:
TCS is a large, stable partner for multi-year BI roadmaps and operations. Their strengths lie in enterprise scale, long relationships with global enterprises, and the ability to integrate BI across large legacy application estates. TCS is often selected by enterprises seeking reliability, regional delivery, and deep domain knowledge in sectors like banking, manufacturing and telecom.
Key features:
- Very large delivery capacity.
- Longstanding enterprise relationships.
- End-to-end lifecycle services.
- Domain expertise across verticals.
- Strong governance & SLAs.
11. Wipro (Digital & Analytics)
Founder: M.H. Hasham Premji (family business; Azim Premji led growth).
Founded: 1945 (origin), pivot to IT over decades.
Headquarters: Bengaluru, India.
Product categories: BI modernization, cloud analytics, dashboards, data engineering, managed analytics.
Description:
Wipro combines consulting with digital engineering and has been focusing on cloud analytics and automation to accelerate BI ROI. Their differentiator is enterprise-grade delivery with growing investments in domain-specific analytics solutions and partnerships with BI vendors. Wipro is a practical choice for digital BI modernization with an emphasis on automation.
Key features:
- Strong automation + analytics play.
- Industry solutions and accelerators.
- Cloud and hybrid implementations.
- Managed services and support.
- Emphasis on efficiency and process automation.
12. Slalom
Founders: Brad Jackson, John Tobin, Troy Johnson.
Founded: 2001.
Headquarters: Seattle, USA (regional offices).
Product categories: BI strategy, modern data stack implementations, dashboarding, embedded analytics, analytics UX.
Description:
Slalom is a fast-growing consulting boutique that blends strategy, design and engineering. They’re prized for pragmatic, customer-centric BI – rapid PoCs, modern data-stack builds (Snowflake/DBT/Tableau/Power BI), and strong user adoption practices. Slalom is the typical choice for medium-to-large organizations seeking speed and innovation without massive enterprise overhead.
Key features:
- Rapid PoC → production cadence.
- Strong analytics UX & adoption focus.
- Modern data stack specialists.
- Localized, close-to-client delivery model.
- Flexible engagement and fixed-price offerings.
13. Fractal Analytics
Founders: Srikanth Velamakanni, Pranay Agrawal (and early co-founders).
Founded: 2000.
Headquarters: Dual presence (Mumbai & New York).
Product categories: AI & analytics consulting, predictive analytics, customer analytics, decision science platforms.
Description:
Fractal focuses on AI-driven analytics and decision science. Their strength lies in combining behavioral science with data science to deliver revenue and customer experience improvements -for retailers, CPG, financial services. Fractal is often chosen when predictive models and commercial analytics (pricing, personalization, demand forecasting) are the priority.
Key features:
- Decision science + ML focus.
- Customer and commercial analytics accelerators.
- Strong R&D and productized AI.
- Rapid model-to-production capability.
- Industry use cases with measurable ROI.
14. Mu Sigma
Founder: Dhiraj Rajaram.
Founded: 2004.
Headquarters: Chicago, USA (delivery footprint in India).
Product categories: Decision sciences, big-data analytics, operations analytics, analytics outsourcing.
Description:
Mu Sigma built its reputation on decision-science operations -treating analytics as business process augmentation. They’re selected by enterprises wanting dedicated analytics centers to embed data scientists into product and commercial teams. Mu Sigma’s operating model emphasizes problem framing, repeatable analytics factories and close business alignment.
Key features:
- Decision sciences and analytics factories.
- Embedded analytics teams and scaling approach.
- Strong problem-framing methodology.
- Long-term analytics operations.
- Focus on business outcomes.
15. EXL (EXL Service)
Founders: Vikram Talwar, Rohit Kapoor.
Founded: 1999.
Headquarters: New York, USA.
Product categories: Analytics services, operations analytics, industry analytics (insurance, healthcare, BFSI), data engineering.
Description:
EXL specializes in industry-centric analytics -insurance, healthcare and finance -coupling analytics with business process expertise. They frequently lead analytics programs that blend process outsourcing and insight generation, offering prebuilt models and domain-specific datasets to accelerate BI outcomes.
Key features:
- Industry deep-dive analytics (insurance, healthcare).
- Process + analytics integration.
- Prebuilt models and datasets.
- Managed analytics operations.
- Focus on cost and outcome optimization.
16. LatentView Analytics
Founders: Venkat Viswanathan, Pramad Jandhyala (and co-founders).
Founded: 2006.
Headquarters: Chennai / global offices.
Product categories: Customer analytics, pricing & revenue analytics, data engineering, BI dashboards.
Description:
LatentView is a fast-growing analytics specialist delivering customer and commercial analytics for Fortune-scale clients. They combine domain models with engineering to deliver insight pipelines and visualizations that feed commercial teams. Clients choose LatentView for point solutions (pricing, customer lifetime value) and scalable BI operating models.
Key features:
- Customer & commercial analytics focus.
- Scalable engineering + analytics delivery.
- Flexible engagement models.
- Growth in retail and CPG use cases.
- Strong data engineering capabilities.
17. ThoughtSpot (services + product)
Founders: Ajeet Singh, Amit Prakash (and co-founders).
Founded: 2012.
Headquarters: Mountain View / Palo Alto area, USA.
Product categories: Search-driven analytics, embedded analytics, BI platform (self-service), implementation services.
Description:
ThoughtSpot is primarily a search-driven analytics vendor with a services arm that helps enterprises deploy conversational BI and embedded analytics. Their product is chosen where business users need fast, natural-language exploration of large data sets. The consulting side helps integrate ThoughtSpot into live data platforms and design consumerized analytics experiences.
Key features:
- Search & NL query-driven analytics.
- Strong embedded analytics capabilities.
- Fast time to insight for business users.
- Good for self-service exploratory analytics.
- Implementation & adoption services.
18. Qlik (Qlik Consulting & Partners)
Founders: Björn Berg, Staffan Gestrelius.
Founded: 1993.
Headquarters: King of Prussia, Pennsylvania (US) and Lund (Sweden) heritage.
Product categories: Qlik Sense, data integration, analytics platform, visualization, partner delivery services.
Description:
Qlik offers a highly flexible analytics platform paired with an ecosystem of consulting partners. Organizations that need associative exploration, in-memory performance, and a hybrid deployment model pick Qlik. Their consulting network (and internal services) helps with architecture, migration from legacy BI and optimizing complex visual analytics.
Key features:
- Associative engine for flexible exploration.
- Broad partner ecosystem for delivery.
- Hybrid cloud & on-prem options.
- Strong visualization & dashboarding.
- Integration with modern data stacks.
19. Birst (now part of larger ecosystems / analytics platform)
Founders: Brad Peters, Paul Staelin.
Founded: 2004.
Headquarters: San Francisco, USA.
Product categories: Cloud BI, embedded analytics, enterprise reporting.
Description:
Birst built a multi-tenant cloud BI platform focused on governed self-service and embedded analytics. It’s historically a strong option for OEM embedding and for mid-sized enterprises needing governed semantic layers. While product ownership and market positioning have evolved, Birst represents the class of cloud-first BI platforms used in large enterprise OEM or ISV scenarios.
Key features:
- Cloud multi-tenant BI.
- Governed self-service semantic layer.
- OEM/embedded use cases.
- Enterprise reporting & federation.
- Lower TCO for SaaS BI.
20. Alteryx (Analytics platform + partner services)
Founders: Dean Stoecker, Olivia Duane Adams, Ned Harding.
Founded: 1997 (as SRC; Alteryx branding later).
Headquarters: Irvine, California, USA.
Product categories: Data preparation & blending, analytics automation, ML pipelines, analytics enablement services.
Description:
Alteryx is best known for self-service data preparation and analytic workflow automation. Their consulting and partner ecosystem help enterprises industrialize repeatable analytics, move analysts out of spreadsheets and operationalize predictive models into BI workflows. Alteryx is frequently used to accelerate analyst productivity and stitch data for downstream BI tools.
Key features:
- Self-service data prep & workflow automation.
- Accelerates analyst productivity.
- Strong partner ecosystem for deployment.
- Operationalizes predictive models into BI.
- Low-code analytics pipelines.
