With data increasingly being seen as a critical corporate asset, more organisations are embracing the concepts and practices of Data Governance. As a result Data Governance is today one of the hottest topics in data management, focusing both on how Governance driven change can enable companies to gain better leverage from their data through enhanced Business Intelligence, Data Analytics and so on, and also to help them design and enforce the controls needed to ensure they remain compliant with increasingly stringent laws and regulations, such as GDPR.
Despite this rapidly growing focus, many Data Governance initiatives fail to meet their goals, with only around one in five fully achieving expectations. Why is the failure rate so high? There are many factors, but one key reason is that implementing Data Governance without aligning it with a defined enterprise and data architecture is fraught with dangers. Linking Architecture with data accountability, a core principle of Data Governance, is essential.
This session will outline why Data Governance and Architecture should be connected, how to make it happen, and what part Business Intelligence and Data Warehousing play in defining a robust and sustainable Governance programme.
This talk will cover:
- What is Data Governance and what it is not
- Key reasons for Data Governance failure & disappointment
- The key components of enterprise architecture – Business, Process and Data
- The synergies between architecture and Governance – how do they reinforce each other?
- How artefacts from both disciplines can be combined and applied to ensure success
- The implications for Business Intelligence and Data Warehousing
- Several use cases of successes and lessons learned