Analytics & Insights Services

Data Analytics involves automating insights into a certain dataset as well as supposes the usage of queries and data aggregation procedures.
We extract data and categorized to identify and analyze behavioral data and patterns, and techniques vary according to organizational requirements. Data analytics is primarily conducted in business-to-consumer (B2C) applications. Proper analysis of the client side reveals key user and customer trends and facilitates the social network's alignment of content, layout and overall strategy.

The applications of big data analytics include: recommendation, clustering, classification and frequent pattern matching. Dreamline for the application of big data analytics have categorized into:
a) IT staffing and resourcing
b) IT service level and problem management, and
c) IT governance and risk management.