E-DATA CONSULTING
Data quality and consistency
Find duplicates, gaps and conflicting records. Agree the checks that data must pass before reporting.
Discuss the task ↗Start with your situation
Two teams count the same customer differently. Examine sources and reconciliation rules before building another dashboard.
Data with traceable origins
- Profiling of critical datasets
- Deduplication and reference-data rules
- An owner for each critical field
- An exception queue with a reason and next action
Agree scope, data access, cost and acceptance criteria after discovery. Expand after validating the pilot.
Our approach
From the question to a decision.
- 01
Define the decision
Which decision is delayed, and what facts does it require?
Question, scope and owner - 02
Examine the sources
Examine a data sample, its origins and discrepancies.
Quality and rule map - 03
Build and validate
Configure one scenario and test ordinary and difficult cases.
Pilot with acceptance criteria - 04
Make it operational
Hand over operating rules, training and improvement ownership.
Operating routine and next steps