Information governance is the management role and responsibility applied to information as a resource of the enterprise. Information governance is simply the execution of management leadership (direction) and control (assurance that direction is followed properly) in order to manage information as an enterprise resource. This article on Information Stewardship is being published on TDAN.com in association with the Data Governance Conference Europe 2008, planned and delivered by IRM UK, DebTech International and Wilshire Conferences. Larry English was very kind to submit this content to TDAN.com through the IRM UK to promote the early February 2008 event. Larry will be a keynote speaker and will provide a full-day tutorial on information governance at the conference.
Click here to download the article on information governance.
Data Governance Europe Conference
Dates: 4-6 February 2008 – London, UK
Venue: Royal Garden Hotel
Data governance has emerged as a new discipline in response to both regulatory requirements as well as business necessity. Following two successful data governance conferences in the United States, IRM UK is pleased to partner with Wilshire Conferences and DebTech International for the Data Governance Europe Conference that will be held in the UK in February 2008. This conference will focus on the “how to’s” in getting started, deploying and sustaining a data governance and stewardship programme.
Highlights of the Conference include:
- Learn how to design, implement and sustain a top-notch data governance initiative in your organisation
- Choose from 5 pre-conference tutorials and 3 conference tracks
Topics of the Conference include:
- Data governance basics
- How to get started in data governance
- Real life success stories
- Data stewardship
- Master data management (MDM) and governance
- Privacy
- Data protection
- Best practices in data governance
- Tips on improving communications in data governance
- Business intelligence and data governance
- Data governance frameworks, maturity models and methodologies
- How to deal with change, cultural and political issues
- Data governance roles and responsibilities
- Pitfalls to avoid in data governance initiatives
