Mu Sigma, one of the world’s largest Decision Sciences and analytics firms, helps companies institutionalize data-driven decision making and harness Big Data Analytics and data-driven decision making have been well recognized as a distinctive competitive advantage in a world of Big Data and increasing business complexity. However, organizations are challenged with scaling the use of analytics and making it an integral part of all business decisions. Mu Sigma addresses this critical need and enables organizations to institutionalize analytics and Decision Sciences in a sustainable manner. We work with market leading organizations across multiple industry verticals solving high impact business problems in key horizontals such as Marketing, Risk and Supply Chain.
We provide our clients with a holistic ecosystem of proprietary technology platforms, processes and people, which scales the use of our unique interdisciplinary approach to Decision Sciences. We believe that leveraging data effectively to enable Decision Support requires a combination of Data Engineering, Data Sciences and Decision Sciences. Data Engineering is the application of technology for collecting, storing, processing, transforming and structuring of data.
Data Sciences refers to the application of math and technology to solve focused business problems with well-defined scopes. However, the dynamic nature of business requires Decision Sciences, an interdisciplinary approach of business, applied math, technology, design thinking and behavioural sciences, to solve constantly shifting and ill-defined business problems.
With over 2500 Decision Sciences professionals, and over 75 Fortune 500 clients across 10 industry verticals, we are one of the largest Decision Sciences and analytics companies. Our interdisciplinary approach to problem solving using cross-industry expertise corroborate our sustainable engagement model with our clients, making us one of the most preferred analytics and Decision Sciences partners among our contemporaries.
Latest funding size
Time since last funding
|over 1 year|
|MasterCard, Sequoia Capital, General Atlantic|
Revenue (FY, 2016)
Revenue growth (FY, 2015 - FY, 2016), %
Net income (FY, 2016)
|$, USD||Y, 2016|