Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Published on Jan 31, 2014
In many organizations the data landscape has become increasingly complex with duplicate applications and processes in different geographies or lines of business, cloud based applications, multiple data warehouses and analytical appliances, big data platforms, content management systems and also numerous file stores holding documents and other content. There is no doubt that data is becoming increasingly more distributed harder to manage. It is not surprising that many organizations suffer from data problems including inconsistent reference and master data, inconsistent data names and policies, poor data quality, poor information protection, and piecemeal project oriented approaches to data integration. In this webinar, Mike Ferguson, looks at why we are now at the tipping point where EIM is needed as a core competency to bring your data under control. He discusses what needs to be in an EIM strategy and what needs to get done to implement EIM including •Why EIM and why now? •Key elements in an EIM strategy •Data governance operating models and methods •EIM implementation
Presenter: This webinar is presented by Mike Ferguson, Managing Director of Intelligent Business Strategies Limited. As an analyst and consultant he specialises in business intelligence / analytics, data management, big data and enterprise business integration. With over 33 years of IT experience, Mike has consulted for dozens of companies on business intelligence strategy, technology selection, enterprise architecture, data management. He has spoken at events all over the world and written numerous articles. Formerly he was a principal and co-founder of Codd and Date Europe Limited -- the inventors of the Relational Model, a Chief Architect at Teradata on the Teradata DBMS and European Managing Director of Database Associates. He teaches popular master classes in Big Data, New Technologies for Data Warehousing and BI, Operational BI, Enterprise Data Governance, Master Data Management, Data Integration and Enterprise Architecture.