Advanced AnalyticsAdvanced Analytics is a top business priority, fuelled by the need to make advanced analysis accessible to more users and broaden the insight into the business. Advanced analytics is the fastest-growing segment of the Business Intelligence (BI) and analytics software market and surpassed $1 billion in 2013.

While advanced analytics have existed for over 20 years, big data has accelerated interest in the market and its position in the business. Rather than being the domain of a few select groups (for example, marketing, risk), many more business functions now have a legitimate interest in this capability to help foster better decision making and improved business outcomes.

IT and business leaders are expanding their efforts to move their organizations from using only traditional BI that addresses descriptive analysis (What happened) to Advanced Analytics, which complements by answering the "Why", "What will happen", and "How we can address it"


Creating value from DATA requires a range of talents, from Data Integration and Preparation, to Architecting specialized computing/database environments, to Data Mining and Intelligent Algorithms.

Extracting value out of DATA is not a trivial task. One of the key elements of any 'Making sense out of Data' program is the people, who must have the right skills and capabilities. 

Data Scientists in the organization support big data initiatives, for which the No. 1 use case is enhancing customer experience. Our Data scientists are not business analysts. They are professionals with the capability to derive mathematical models from data to reap clear and hard-hitting business benefits. They network well across different business units and work at the intersection of business goals, constraints, processes, available data and analytical possibilities.

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