Awesome Image



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

The client is a top human behaviour and analytics firm specializing in industries facing disruption and business transformation.

As part of a major expansion initiative, they want to revamp their customer interface, for ensuring content availability across multiple browsers and platforms.

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 delivered a robust and user-friendly customer platform with the best possible technology enhancements.
Customer is a research organization and content management organisation. We developed content management portal to manage the day-to-day task as it was unorganised.
Our solution helped customer to organise the data in version wise and content wise. This environment became the major data source for Analysis. Consultants could able to organise the data and share the data internally across the locations. User friendly interface helped organisation and saved time in knowledge transfer & training for new resource.