Big Data Strategy

Big Data in India: A CxO Perspective

By Jasmine Kohli and Prerna Sharma

 

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Our organizational data size of the transactional systems is about 14 TB. Mostly, this covers the structured data. Complexity includes cross-functional, multi-geographical, distributed and diversified people, business processes, infrastructure, and enterprise systems. We do structured data analytics with the data at the employee and project level. It gets aggregated at the customer, vertical, horizontal, geo, business unit, and the project type level. The primary focus of our efforts in analytics are in the areas of customer centricity and delight, employee passion, and delivering innovative services. Due to analytics, we can view the organizational dashboard of various metrics. This helps us in time management, tracking insights, and reporting accurately to stakeholders for quick actions and decision making. Better reporting and decision making enables excellence in sales, delivery, and operational areas. Today, we can present monthly dashboards for various levels of management. Thanks to analytics, we also have more structured and data driven management and reviews.

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