Approach to Solve Data level issue -
Data quality checks basis below parameters
- Accuracy
- Reliability
- Completeness
- Reliability
- Relevance
Data Issues – Availability and Training
- All Data sets created would have proper lineage and documentation for easy use by users.
- All KPI calculations clearly explained for users to effectively use the data sets.
- Training on data sets on how to use and how to link across data sets.
- Data sets made available to all business users as per Companies policy with appropriate security control (depends on the analytical tools used).
- Document areas of data quality issues in data sets and set on a process to improve data quality.
Understanding Complexity in Business
It is important to get an overall view of transactions and business complexity to start using Data sets effectively.
Some sample analysis below :-
- Number of supplier and Customers
- Number of items and other attributes like planning methods and ASL entries
- Unique Vs common items in manufacturing
- Items sourcing, internal / external
- Number of Fulfillment modes / ship methods / carriers
- Transaction types and amounts
Implementation Approach for Analytic