Resolving Data Quality Issues Part 02 Issues Caused by Data Entry Processes Data Entry Interface Issues Poorly designed data entry interfaces can contribute to data quality issues. If a data …
Data Quality – Causes of Data Quality Issues – Part-01
Common Data Quality Issues – Part 1: Causes and Consequences Common Data Quality issues can emerge at any point in the data lifecycle, from creation to disposal. When investigating root …
Data Quality – Business Rules
Business Rules in Data Quality Business Rules are commonly implemented in software or by using Document Templates for Data Entry. Some common simple Business Rule types are: Type of Business …
Data Quality Programs – Guidance and Principles
Why Data Criticality Matters for a Successful Data Quality Program Criticality: Data Quality programs should focus on the data most critical to the enterprise and its customers. Priorities for improvement …
Data Quality – Core Dimensions
What Are Data Quality Dimensions and Why Do They Matter A Data Quality dimension is a measurable feature or characteristic of data. The term dimension is used to make the …
Data Warehouse / Business Intelligence Projects – Critical Success Factors
Securing Executive Support Through Business Sponsorship Business Sponsorship: Is there appropriate executive sponsorship, i.e., an identified and engaged steering committee and commensurate funding? DW/BI projects require strong executive sponsorship. Defining …
OLAP – ROLAP, MOLAP and HOLAP
How OLAP, ROLAP, MOLAP, and HOLAP Work OLAP – Online Analytical Processing It is a technology used to organize large business databases and supports performing complex and multidimensional analysis, at …
Business Intelligence – Reporting and Analysis
Business Intelligence – Reporting and Analysis Operational Reporting Operational Reporting is the application of Business Intelligence tools to analyze business trends, both short-term (month-over-month) and longer-term (year-over-year). Operational reporting can …