Metadata Intelligence and the CMMI Data Maturity Model (DMM)
The emergence of the role of the Chief Data Officer has resulted in greater visibility of Data Governance issues that have confronted data management professionals for years. Enterprises are now coming to grips with the increasing importance of the reliability of data that is provided to internal and external consumers. The creation of a data quality industry segment can be seen as a response to these issues.
The adage “you can’t manage what you can’t measure” has a corollary “you can’t measure, what you can’t find”. The focus of data processionals has shifted from “filing” data to “finding” data. A necessary part of this redesign is the auditability of the data infrastructure that supports the business. Trust in the data can be directly related to the ease of tracing its origin. Metadata intelligence is more than just understanding the form (structure) of data, but also its substance (content).
This presentation explores metadata and its oversight as the “value core” of data governance and data quality. Analytics supported by the data warehouse needs a metadata warehouse to provide Metadata Intelligence. With the introduction to the Data Management Maturity Model, as a method to asses an enterprise’s Metadata Intelligence capabilities, you will learn:
- The inter-dependencies of data governance and data quality
- The critical role of metadata and how to harvest its value “farm to table”
- A detailed understanding of how Trust in Data = Traceability
- Importance of Data Quality for advanced analytics – big data
- Data management practices directly supporting metadata success.
Don Soulsby is Vice President, Architecture Strategies for Sandhill Consultants His practice areas include strategic and technical architectures for data management, metadata management, and data warehousing. Mr. Soulsby has held senior professional services and product management positions with large multi-national corporations and software development organizations. He has an extensive background in enterprise architecture, business intelligence and data modeling methodologies. He has over 30 years of experience in the development of operational and decision support applications. Mr. Soulsby is an excellent communicator and has taught metadata, data modeling and data warehouse courses through public offerings and onsite engagements to corporate clients. Mr. Soulsby is a recognized thought leader who speaks regularly at international industry events, DAMA functions and the MIT CDO Seminar Series.