Centralised Data Governance of a Distributed Data Landscape

Many businesses today are operating in a distributed computing environment with data and processes running across on-premises systems, multiple Clouds, and the edge. It this environment, with so much going on, data is much harder to find and govern. Also, the number of data sources continues to grow and Master Data, the most widely used data in any business, is becoming harder to find, manage and keep synchronised across so many systems in a hybrid computing environment.

This two-day in-depth seminar looks at this problem shows how to successfully implement a Data Governance program to centrally govern data across a distributed data landscape. This includes governing data access security, data privacy, data sharing, data retention and data quality with data quality encompassing Master Data Management to create a 360-degree view of customers, products, suppliers, and other core entities.

The seminar takes a detailed look at the business problems caused by poorly governed data and how it can seriously impact business operations, cause unplanned operational costs, and destroy confidence in accuracy of Business Intelligence, Machine Learning model predictions and recommendations.