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…