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  • 8/10/2019 Decision Sciences _ Data Sciences _ Big Data Analytics _ Mu Sigma

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    11/12/14 Decision Sciences | Data Sciences | Big Data Analytics | Mu Sigma

    www.mu-sigma.com/analytics/aboutus/who-we-are.html

    DO THE MATH

    About Us

    Who We Are

    Vision

    Philosophy

    Our Customers

    Our Team

    News

    Platforms

    Overview

    Decision Sciences

    Data Sciences

    Ecosystem

    Overview

    DIPP

    Interdisciplinary

    Approach

    Innovation &

    Development

    Convergence

    Solutions

    Overview

    Verticals

    Horizontals

    Case Studi es

    Thought Leadership

    White Papers

    Technical Research

    Our Views

    Decision Sciences

    Blog

    Caf Cerebral

    Videos

    People

    Talent Creation

    Philosophy

    Our Values

    Life @ Mu Sigma

    Careers

    Work With Us

    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?

    Contact us at

    T: +1 847 919 0445(USA)

    +91 80 4054 9100 (IND)

    E: [email protected]

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