Data Integration Assessment
Data Integration Assessment Requirements
Data Integration Assessment Approach
- Incomplete, inconsistent, duplicate data
- Do not have reliable, 360-degree or complete view of a customer/supplier
- Incomplete view undervalues high-value relationships
- Not able to make relevant cross-sell/up-sell recommendations
- Lack of data foundation or governance to go digital
- Too expensive to identify and attract new customers/markets
- Match / Merge Analysis
- Decide High Level Technical Architecture
- Design Conceptual Data Model
Data Discovery Assessment Approach
- Understand current ETL architecture and usage.
- Interviews /Questionnares for ETL developers.
- Identify key findings.
- Compare current situation with best practices
- Apply Health Checks
- Define standards.
- Calculating Assessment Score
- Create an assessment report
- Current situation
- Findings
- Recommendations etc…
- Presentation
Assess Capabilities – Scoring