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11/12/14 Decision Sciences | Data Sciences | Big Data Analytics | Mu Sigma
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Analytics and data-driven decision m aking have been well recognized as a dis tinctive 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 bus iness decisions . Mu Sigma addresses this critical need and enables
organizationsto institutionalize analytics and Decision Sciences in a sustainable manner.
We work with market leading organizations across multiple industry verticals solving high impact busines s 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 busines s problems with well-defined scopes. However, the dynamic nature of busines s
requires Decision Sciences, an interdisciplinary approach of bus iness, applied m ath, technology, design thinking and
behavioural sciences, to s olve constantly shifting and ill-defined busines s problems.
We help organizationstraverse the journey fromData Engineering to Data Sciences and Decision Sciences thereby
institutionalizing Decision Support.
We establish ongoing relationships with our clients in a white box and collaborative manner to create a better art for
problem solving. Our integrated DIPP approach and close engagement with our clients empower them to not only
scale the creation of analytics, but also facilitate the translation and consumption of insights to maximize ROI from
analytics initiatives.
Our expertise and experience cut across multiple and disparate verticals such as CPG & Retail, BFSI, Pharma,
Healthcare, Technology, Media and Telecom (TMT) and many more. We believe that in a world of blurring value-chain
boundaries and continuous transformation, organizations can profit from cross industry / domain expertise. Over the
years, we have leveraged this experience to enable i nnovation and convergence for our clients.
Mu Sigma is a category defining Decision Sciences and Big Data analytics company helping enterprises institutionalize
data-driven decision making. Mu Sigmas unique interdisciplinary approach and cross-industry learning drive
innovation in solving high-impact business problems across marketing, risk and s upply chain. With over 3500 decision
scientists and experience across 10 industry verticals, Mu Sigma has been consistently validated as the preferred
Decision Sciences and analytics partner. Mu Sigma provides an integrated decision support ecosystem of products,
Mu Sigma, one of the worlds largest Decision Sciencesand analytics firms, helps companies institutionalizedata-driven decision making and harness Big Data
Testimonial
Mu Sigma's bottoms-up analytical solution
identified a number of directly translatable
media allocation learnings that have greatly
influenced how, when and where we will
allocate future advertising budgets. One of the
most telling as pects of their value-add was that
everything the models came up with made
perfect intuitive sense - a testament to the
quality and integrity of their efforts.
VP - MARKETING EFFECTIVENESS,WORLD'S LARGEST ADVERTISING COMPANY
Want to know more?
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T: +1 847 919 0445(USA)
+91 80 4054 9100 (IND)
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