Data quality is a function of data’s fitness for use to a particular purpose in a given context; measured against stated requirements or guidelines. High data quality engenders trust in operational and strategic decisions. Introduction Data quality is a perception
Data governance is the foundational component of the enterprise data management function. It is responsible for the development and implementation of policies and standards for managing data and information across and within the organization. Introduction Data governance is the planning,
Every organization must perform project management according to the accepted principles and using the approved processes and procedures to enable successful results. Introduction Every day, organizations are asked to accomplish activities that do not align into the “business as usual”
An enterprise data strategy should be part of every organization’s strategic development. A data strategy ensures the organization uses its data and information to support business goals. Introduction Most organizations have a business strategy: a plan of how the company
The DAMA-DMBOK© is the premier reference guide for all aspects of the data management profession, covering all components of data management with best practices and expert advice. Introduction Every profession has its “body of knowledge,” a collection of best practices
Managed metadata using a repository is the foundation of a successful decision support or analytics system. Business intelligence needs metadata’s capabilities. Introduction Building a metadata repository MME is critical for accessing, maintaining, and controlling the vital information stored in our
Measuring the maturity of an organization’s data management capabilities against a standard model provides structure and the ability to gauge progress over time Introduction Organizations do not know how to treat data as an asset. As evidenced by the fact
Data stewardship is the role practiced by business staff that implements the policies and standards developed by data governance professionals. Data stewards ensure the quailty of data for use. Introduction Data stewardship is the management and oversight of an organization’s
Enteprise data modeling is an essential component of strong enterprise data architecture, with subject, conceptual and enterprise logical models based on business concepts and requirements Introduction In many organizations, there is no way to understand the scope and variety of
Many project management challenges are centered on the people involved in a project; part of the “people, process, technology” triangle as the basis of all organizations Introduction There are still some common project management challenges, despite the huge efforts from
