Avoiding Siloed Data and Siloed Data Management
Siloed, disparate, fragmented, and conflicting data are fairly known issues faced by many companies today. Companies have come to the realization data management disciplines are a must to address their data problems. However, data management disciplines themselves cannot remain siloed. Highest potential can be achieved by properly blending those disciplines. This presentation covers Master Data Management as a key discipline to address siloed master data and to foment the integration of multiple data management practices together.
Dalton Cervo has over 24 years of experience in data management, project management, and software development, including architecture design and implementation of multiple MDM solutions, and management of data quality, data integration, metadata, data governance, and data stewardship programs. He is the founder of Data Gap Consulting, which provides data management services to a wide variety of industries, such as automotive, telecom, energy, retail, and financial services.
Prior to this, Dalton was a consultant for SAS/DataFlux, providing expertise in MDM, data governance, data quality, data integration, and data stewardship. He was also a senior program manager at Sun Microsystems and Oracle Corporation, serving as the data-quality lead throughout the planning and implementation of Sun’s enterprise customer data hub. He has extensive hands-on experience in many data management, change management, and continuous improvement programs.
Dalton is coauthor of the following two books:
- Multi-Domain Master Data Management – Advanced MDM and Data Governance in Practice (Morgan Kaufmann, Elsevier, April 2015)
- Master Data Management in Practice: Achieving True Customer MDM (John Wiley & Sons, 2011)
Dalton Cervo, Avoiding Siloed Data and Siloed Data Management