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Data capture & ML consulting services to map out the way to a custom

A leading health insurance provider from Kansas State, USA, with more than one million members. They offering healthcare, dental, life insurance and Medicare coverage.

Planned downtime for frequent IT downtime was affecting operational outputs. These downtimes were largely due to presence of multiple systems, storage backups, different software licensing agreements, datacompliances, etc.,

Processing System

Must explain to you how all this mistaken idea of denouncing pleasure and praising pain was born will give you a complete account of the system pain can procure.

  • Step 01
  • Step 02
  • Step 03
  • Step 04

Step1: Define the problem:

Differentiate fact from opinion.
Specify underlying causes.
Consult each faction involved for information.
State the problem specifically.
Identify what standard or expectation is violated.
Determine in which process the problem lies.
Avoid trying to solve the problem without data.

Step2: Generate solutions:

Postpone evaluating alternatives initially
Include all involved individuals in the generating of alternatives
Specify alternatives consistent with organizational goals
Specify short- and long-term alternatives
Brainstorm on others’ ideas
Seek alternatives that may solve the problem.

Step3: Evaluate:

Evaluate alternative relative to a target standard
Evaluate all alternatives without bias
Evaluate alternatives relative to established goals
Evaluate both proven and possible outcomes
State the selected alternative explicitly.

Step4: Implement:

Plan and implement a pilot test of the chosen alternative
Gather feedback from all affected parties
Seek acceptance or consensus by all those affected
Establish ongoing measures and monitoring
Evaluate long-term results based on a final solution.

Our Approach

DataGridz was engaged along with Informatica to do a complete analysis of their IT systems with an intent to optimizing some of their existing processes and redefining security parameters. The exercise also involved providing the necessary guidelines and best practices through an advisory engagement.

The resulting environment had a data vault with data compression of 98%, reduction around the overall software licensing cost, lowering data storage costs and mitigating the consistent performance challenges.