Over segmentation of the data management market has led to a proliferation of vendors promoting disparate tools for mostly similar tasks. This multitude of tools, and disciplines leads to time lost and project fatigue. Within the area of master data management we have seen; multi-domain vs single domain, graph vs relational and operational vs analytical.

With the explosion of the potential links between objects in the Analytics and Operational data management worlds, it is becoming critical for enterprises to define, model and govern the semantics of their data elements with the business stakeholders according to their business requirements

Key Takeaways

  •  Discuss how to avoid creating boundaries between business requirements and software capabilities
  • Learn how others have managed the convergence of operations and analytic requirements
  • Consider how hybrid data hubs can provide the way forward


Speaker Bio

Richard has established himself as an expert on the subject of master data management having spent over 12 years in the field where, together with his business activities, he often speaks and writes on aspects of MDM.  Having stumbled by accident into computer science in the early ‘70s he joined the nascent relational database software industry and has worked in data management his entire career, specialising in data integration, data warehousing and master data management. Responsible for the growth of Semarchy’s business in Northern Europe, he has held senior positions at Oracle and Informatica, contributed to the early growth of Cognos and established ELT originators Sunopsis in the UK. Originally from London he studied computer science & business at Thames Valley University.

September 26 @ 14:00
14:00 — 15:30 (1h 30′)

Stage 2 | Master Data Management & Data Quality

Richard Branch – VP & General Manager | Semarchy