Enterprise Data Governance & Master Data Management

Info        Objectives        Presenter       Audience        Outline        Run as an onsite

This three-day, in-depth, seminar takes a detailed look at the business problems caused by poorly managed data, and defines the requirements that need to be met for a company to confidently define, manage and share master, transactional, analytic and unstructured data across operational and analytic applications and processes. In order to achieve enterprise data governance, a company needs to invest in people, processes and a suite of technologies that support end-to-end data management activities.

These include:

• Enterprise metadata management
• Data modelling
• Data relationship discovery
• Data profiling
• Data cleaning
• Data integration (Batch, on-demand and event-driven)
• Data synchronisation
• Master data management
• Enterprise content management

During the three days we take an in-depth look at the technologies needed in each of these areas as well as best practice methodologies and processes for data governance and master data management.