Big Data

Big Data has matured differently than most technologies, however. First, no one leader has emerged after nearly a decade. The analytics industry is still in growth mode, and leaders emerge when an industry consolidates.

We use big data analytics to enable predictive threat management for customer centric portals and mobile apps.

DataSev claims to operationalize data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark. Some of our mission critical applications include predictive maintenance, operational intelligence, security, fraud, auditing, churn, credit scoring, user based insurance, predicting sepsis, ICU monitoring.

Possible Solution:


Cost savings


Tax Saved



DataSev leverage a software platform that plugs directly into the customers’ databases and lets them run, save, and share analyses over billions of data rows. We combine best practices and best-in-class industry knowledge and tools to craft highly customized programs to best utilize your resources in support of your business objectives. This includes:

  • Creating a data governance program to institutionalize good data practices.
  • Determining metrics and key performance indicators (KPIs) to track data quality success.
  • Provide best practices around data engineering, making sure your technology are aligned with your analytic goals.