Lab Data Generation: Evaluation of Data Simulation Approaches and a General Solution

Most of the time, not enough sample clinical data is available due to various reasons. This sample data is essential for running analytics for development…

Value of Biological Data Integration

Mining Disease-Disease Associations using Disease-Gene Analytics The key to developing a treatment to any disease lies in understanding the gene mechanism. There has been tremendous…

Big Data Challenges: Solving for Data Quality

Data harmonization is essential for generating actionable and accurate business insights. With accurate data, an organization can see significant impact on the bottom line. Sushil…

3 Best Practices for Great Data & Analytics Engagements

Amid fierce market competition, rapidly evolving technologies, and high expectations from clients for seamless project delivery (on time, on budget, as few surprises as possible,…

Unlock true potential of your trade promotions

How do you compete in a fiercely competitive market like CPG? Getting the product to market is only half the battle won. Getting the buyer…

Analytics 2017 – Industry trends

The era of Cognitive Systems The year 2017 will bring in a transformational change in the way businesses look at Analytics. In this blog, Sagar…

How to survive and excel in the fast changing world of Healthcare Data Analytics

It is no secret that Data Analytics is rapidly changing within the healthcare segment. What is important though is that each organization has a proven…

Disrupting Insurance with Advanced Analytics

Insurance providers are under intense pressure to innovate to create more personalized experiences and customized offerings that meet their customers’ demands. Smart companies have turned…

How to Design a Big Data Architecture in 6 Easy Steps – Part Deux

This follows the part 1 of the series posted on May 31, 2016 In part 1 of the series, we looked at various activities involved in planning Big…

How to Design a Big Data Architecture in 6 Easy Steps

Designing a Big Data architecture is a complex task, considering the volume, variety and velocity of data today. Add to that the speed of technology…