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, he was a consultant for SAS/DataFlux, which provides expertise in MDM, data governance, data quality, data integration, and data stewardship. Dalton 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 co-author 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)
DQPVS 1: Metadata Management as a Key Component to Data Governance, Data Stewardship, and Data Quality
For many organisations, their data landscape is one of disparate and fragmented silos, resulting in conflicting data. These conflicts cause considerable operational waste and severely limit the strategic performance of leaders.
The answer, of course, is to adopt modern attitudes and approaches to data management. However, many organisations fall into the trap of delivering disparate data management disciplines that fail to align, and so the problem repeats itself.
Metadata Management is a core method that needs to be aligned with every aspect of your Data Quality, Data Governance and Data Stewardship initiatives. In this presentation, globally recognised practitioner and author Dalton Cervo provides a detailed account of how to make this alignment a reality.
DQPVS 2: Growing Data Governance
In this presentation, author and expert practitioner, Dalton Cervo outlines situations where Data Governance is required and gives practical ideas for its implementation.
- The different data structures
- The main categories of data
- DG Focus Areas
- Horizontal vs Vertical Functions
- Top-Down Data Governance vs Middle Out vs Bottom-Up
- Data Governance in Decision-Making
- Data Integration in MDM
- Discovering the Statement of Record (SOR)
- CRUD management
- Data Stewardship and Data Governance
- Metadata Management and Data Governance
- Data Quality and Data Governance