Business Intelligence Companies & Consultants in Santa Clara, CA

Tiger Analytics is a consulting firm for data, analytics and artificial intelligence. Its US headquarters is in Santa Clara, California. It works mainly with large enterprises, including Fortune 500 and Fortune 100 organizations, and helps them turn scattered data into reporting, forecasting and decision tools.

For buyers comparing Business Intelligence providers, the company is at the larger, full-stack end of the market. BI is one practice within a broader offering that runs from strategy and data engineering to machine learning and generative AI.

Business Intelligence capabilities

Within its Operationalize Insights group, Tiger Analytics runs a dedicated BI practice built around user-centric design. The aim is for business teams to read and act on data without needing an analyst for every question. The practice covers several stages of a BI program:

• BI roadmap development aligned to stakeholder needs and data maturity
• Dashboard and reporting implementation, often on Microsoft Power BI
• Migration between tools, such as moving Tableau reports to Power BI
• Ongoing platform administration and standardized dashboard programs
• Proofs of concept, benchmarking and beta testing before full rollout
• AI-assisted BI, including conversational analytics and GenAI-generated insights

The firm's published client work shows how this plays out. For a US food conglomerate, the team combined Power BI visuals with a web application to build a supply chain KPI hub, which the firm credits with a 10% efficiency gain. For a large American insurer, it merged many separate claims reports into one central dataset with drill-down Power BI dashboards. Another project used an AI-driven BI approach to cut time-to-insight for a financial services company by about 40%.

Wider services and accelerators

BI depends on clean, well-modeled data, so many engagements also draw on the firm's other practices. These include analytics roadmaps, data strategy and platform design; data modernization, data foundation and data operations work; and data science, AI engineering and MLOps.

To speed up delivery, it offers its own intellectual property, such as TigerML for building ML models, Tiger DataSphere accelerators, Tiger Blueprints for industry problems and the Tiger AI Hub library. It also has packaged tools including Insights Pro, MMX Planner, TrendSpotter and ForecastPro.

It partners with Microsoft, Google Cloud, AWS, Databricks and Snowflake, which matters to buyers already committed to one of those ecosystems.

Industries served

The firm organizes its work by sector: consumer packaged goods, retail, banking and financial services, insurance, healthcare, life sciences, manufacturing, logistics, and technology, telecom and media. It also groups solutions by business function, including marketing, customer analytics, supply chain, operations and planning, and risk.

Background

Mahesh Kumar founded the company in 2011. He previously taught at business schools, where he researched data mining and statistical modeling, and he holds a doctorate from MIT. With co-founders Pradeep Gulipalli and Pooja Agarwal, he grew a team of about ten people into a global workforce of several thousand consultants and technologists.

Besides Santa Clara, the firm has US offices in Jersey City, Chicago and Plano, plus sites in India, the UK, Singapore and Australia. That scale suits organizations that want one partner to handle BI alongside data engineering and AI, though smaller buyers may find its enterprise focus more than they need.