10.00 - 4.00 LEVERAGING DATA AS A CORPORATE ASSET: MOVING FROM RAW DATA TO REAL VALUE

• Applying the same management principles to Data Management and Quality that are used to manage other corporate assets
• Identifying what you need: defining the data resource, drawing boundaries and prioritising and what can and should meaningfully be used
• Information Value Chains: finding and resolving breaks in the chain
• Creating a data strategy: drafting a statement of principles; setting policies and data standards; conducting an annual data quality strategy review
• The future of data quality: applying web 2.0 and open source principles to data quality
• Common data management issues and challenges, and their impact on the business
• Why data management is important and the potential value, and benefits of good data management
• The components of a comprehensive data management framework and the important supporting elements
• Building and sustaining a robust data management framework, what to avoid and applying best practice
• How to measure the progress of implementing a data management roadmap, including the use of surveys, maturity models, benefits management and assessing the performance of a company relative to others via benchmarking