Data analytics services

Service as a Software

Mu Sigma’s unique operating model:

As business complexity increases, “Software” and “Software as a Service (SaaS)” will need to evolve to a new paradigm of man and machine. We call this “Service as a Software”. It provides data science consulting and solutions designed to solve problems through analytical decision making.

Software as a service

Business problems are shifting in terms of both content and context. Software model is not flexible and Services model is not scalable to manage this shift.

New age data analytics services requires for a more integrated approach - to find new ways of solving business problems in more scalable and agile ways.

But, how can big data analytics software and services harmonize?

Software needs services for orchestration and customization, while services needs the software Lego blocks for abstraction, modularization and automation.

Data analytics services

To have Man and Machine working in harmony, both Services and Software need a re-think

Services Re-think


  • From just using and implementing software to developing and customizing software as part of data analytics services

  • From problem specific solution to solution design for problem classes in data science services

  • From re-inventing everything to reusing and improving analytics consulting

Software Re-think


  • From finished products and solutions to lego blocks

  • From being specific functional and workflow requirements driven to being able adapt to multiple contents and contexts

  • From monolithic-platforms and packaged apps to multiple modular and granular components

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