Identify and Analyze Stakeholders A stakeholder is any person or group who can influence or be affected by the Data Management program. Stakeholders can be internal to or external to …
Data Quality Program – Implementation Guidelines
Typically, a hybrid approach works best – top-down for sponsorship, consistency, and resources, but bottom-up to discover what is actually broken and to achieve incremental successes. Improving data quality requires …
Data Quality – Causes of Data Quality Issues – Part-03
Issues Caused by System Design Failure to Enforce Referential Integrity: Referential integrity is necessary to ensure high quality data at an application or system level. If referential integrity is not …
Data Quality – Causes of Data Quality Issues – Part-01
Data Quality issues can emerge at any point in the data lifecycle, from creation to disposal. When investigating root causes, analysts should look for potential culprits, like problems with data …
OLAP – ROLAP, MOLAP and HOLAP
OLAP – Online Analytical Processing It is a technology, used to organize large business databases and supports to perform complex and multidimensional analysis, at high speeds on large volumes of …
DII – Data Interaction Models – P2P, Canonical and Publish/Subscribe
Canonical Model (Hub-and-Spoke) A Canonical Data Model is a common model used by an organization or data exchange group that standardizes the format in which data will be shared. In …