Mu Sigma – Decision Sciences and Analytics
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. They work with market leading organizations across multiple industry verticals solving high impact business problems in key horizontals such as Marketing, Risk and Supply Chain. They provide their clients with a holistic ecosystem of proprietary technology platforms, processes and people, which scales the use of our unique interdisciplinary approach to Decision Sciences. They 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. They help organizations traverse the journey from Data Engineering to Data Sciences and Decision Sciences thereby institutionalizing Decision Support. This will be added to Statistics Resources and Big Data Subject Tracer™.