What is RDM – Reference Data Management Reference Data is any data used to characterize or classify other data, or to relate data to information.Reference Data Management entails control and …
Data Management – What is Master Data?
What is Master Data Management-MDM Different types of Data play different roles within an organization. They also have different management requirements. Malcolm Chisholm has proposed a six-layer Taxonomy of Data …
Reference and Master Data Management – Guiding Principles
Shared and Owned Enterprise Data in Master Data Mangement Principles Stewardship and Data Quality Governance Change Control and System of Record in Master Data Mangement Principles
Data Quality – Causes of Data Quality Issues – Part-02
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 – 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 …
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 …
Data Warehouse, Data Lake & Data Vault
Understanding Data Lake vs Data Warehouse Data Lake and Data Warehouse both act as repositories, but they are designed for very different purposes. Data Warehouses work best for specific projects …
Data Warehouse Implementation – Guidelines and Principles
Aligning Data Warehouse Projects with Business Goals Importance of Defining End Goals for Data Warehousing Global Data Warehouse Implementation Design with Localized Execution Optimizing Data Summarization Strategies in Data Warehousing …