Focus Areas for Discussion

In this session, delegates will discuss how the increasing focus on regulation of data and data-related functions can often be seen as a burden or barrier for organisations, leading to under-investment or under-resourcing of key data oversight functions or a template-driven approach to doing only what is necessary to achieve “Minimum Liable Product” – that level of quality, governance, and oversight that meets the minimum standards of compliance.

But at the same time organisations struggle with fundamental issues such as searchability and findability of data and information, disparate and redundant copies of information, and often silo’d approaches to tackling data quality challenges. They struggle to adopt or implement new technologies because of poor quality data, or uncertainty about risk and liability arising from using their data for novel purposes. Initiatives to become ‘data-driven’ continue to struggle with challenges of data literacy, acumen, and nous in the organisation.

Is it possible that these challenges might be two sides of the same ledger? What can we learn from Kaplan and Norton’s famous “Balanced Scorecard” to help reframe how we think about how to build and frame the business case for regulatory investment in data?

Questions that may arise might include:

• Why is data governance just ‘overhead’ and how can it help add value?
• How do the concepts of Kaplan and Norton’s Balanced Scorecard approach to strategy map to Data Strategy?
• How does our perspective of the concept of the “data asset” affect how we frame and present the case for investment in data capabilities?
• Who should ‘own’ the business case for regulatory data investment in an organisation?

Keynote Speaker

Panellists