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”
A well-modeled data dictionary can provide lasting value and ensure consistency of use throughout an organization for all data elements. Introduction The primary purpose organizations create and maintain a data dictionary is to standardize data content , context, and definitions to achieve consistency, reusability, and quality of the data that drives or supports the organization’s tactical and strategic business initiatives.
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
Certification is an essential component of any professional career path. Every data management professional should earn the Certified Data Management Professional (CDMP) designation. Introduction The Certified Data Management Professional® (CDMP) ® credential is the designation earned by data management professionals who are committed to a career in the field and want to demonstrate their knowledge and experience in its various subject
Ensure that your organization can identify the actual business value data governance and data stewardship contribute to start and maintain the program Introduction Often, data governance and data stewardship programs are cited for a lack of tangible metrics that indicate the success of the initiative. Without identifying criteria for measuring the results of the data governance program and the activities
Base your data governance program on a set of enduring guiding principles to ensure long-term success! Introduction Guiding principles are statements that direct the organization in the course of its operations, in all circumstances, regardless of changes in management or other impermanent things. In a continuing program such as data governance, it is important to establish a set of points
Data Integration is an essential activity that allows an organization to combine data from disparate sources into a unified version for a variety of uses. Proper data integration starts at architecture, includes understanding requirements and the data, and ends with trusted valid results. Introduction Data integration is the collection of technical and business processes used to combine data from disparate
Business process modeling is an important component of business analysis, and enables organizations to understand the processes that manage the flow of data and information. Introduction To enable an information system to provide optimum benefits, the architect, designer and programmers must thoroughly understand the data and processes needed. An excellent way to gain this understanding and prepare to implement software
Reference and master data provide the contextual capabilities for transactional data. Managing reference and master data enables organizations to understand operational data and analyze disparately collected data effectively. Introduction Reference and Master Data is the collection of generally non-transactional data that gives context to transactions, and provides connection points between and among related data in different records, files, tables and
