Data lineage is an important aspect of a variety of legislation affecting the data from individuals and organizations. Introduction Several pieces of legislation have revived interest in data lineage. The Basel Committee on Banking Supervision‘s standard number 239 “Principles for effective risk data aggregation and risk reporting” (BCBS239 or PERDARR) and the EU General Data Protection Regulation (GDPR) are two
Data Lineage is an essential component in all business metadata management. Often overlooked, the value of data lineage can be seen in many areas. Introduction There is a growing interest in data lineage for many reasons, across all areas of the enterprise data management community, especially as business metadata becomes more necessary to non-IT professionals. There are several groups of
The increasing value of data and information demonstrates the need to know the lineage of the data and its metadata to understand its relevance to operations and decisions Introduction The data landscape is changing faster than before. Big data, legacy data, external data, internal data, data of data and much more; organizations want to use all possible types of data
Metadata management is one of the foundational components of an enterprise data management initiative. Many organizations struggle with its incorporation into their data management processes. Metadata Management’s Relationship to Data Management Data Management is one of the hottest topics in our industry as Global 2000 companies and large government agencies are beginning to understand that without accurate, timely, and well-understood
A managed metadata environment (MME) is the optimal approach to metadata architecture for meeting business and technical requirements Introduction Almost every corporation and government agency has already built, is in the process of building, or is looking to build a Managed Metadata Environment (MME), either as part of a metadata solution or within an enterprise data management initiative. Many organizations,
Metadata management is one of the foundational components of an enterprise data management initiative. Many organizations struggle with its incorporation into their data management processes. Introduction Metadata is “data about data.” It is the context for the raw data content. As stated in the DAMA-DMBOK©, metadata can be thought of with the metaphor of a library’s card catalog. The card
Metadata management should start with the identification of business subject areas to enable prioritization of all enterprise data management initiatives and related projects. Introduction Metadata is commonly defined as “data about data.” In fact, a more accurate definition might be “information about information assets.” These information assets may be data, processes, applications, or information technology. Metadata may be “business metadata”
Metadata infrastructure planning should include all the MME layers while maintaining focus on the objective. Introduction It is essential to retain focus on the overall objectives of the organization’s managed metadata environment (MME) to have a successful implementation. Within an MME’s infrastructure, there are six layers, and each layer has specific purposes. A previous article explained overall MME planning, and gave
Do you know the numerous benefits and the effect that having a managed metadata environment will bring to your organization? Introduction Many organizations continue to struggle to understand the meaning and value of one of their most important and sustainable assets, data (and its companion, information). Data are raw facts, presented without context. Metadata is the “data about data,” the
Metadata infrastructure planning should start by focusing on the “big picture”, which is the objective of the metadata program, and plan all the MME layers to maintain focus on the objective. Introduction When planning to implement a Managed Metadata Environment (MME) infrastructure, it is important to maintain perspective overall objective of the MME program and the fact that all the users
