9:55, March 22: CDO Panel Discussion | Leveraging The Investments in Data Management to Drive Value Beyond Reporting

The vast majority of CDOs must demonstrate the value of data governance within 12-18 months of developing a program. Regulatory pressure is driving immense investments in data management capabilities across the financial industry, but what are the next opportunities beyond reporting? How can you leverage what you’ve built to drive value beyond regulatory compliance?

Leading data executives will discuss:

• How value is being demonstrated to the firm
• How decisions are being made around the onboarding of new technology and systems
• Approaches being taken in the shift for more dynamic data and leading indicators
• Ways that data is providing insight into new opportunities

12:35, March 22: Panel Discussion | Analytics Through a Scientific Lens, Identifying Areas of Growth

Data is the biggest asset of financial institutions. After building out sound data governance and data quality systems, what kinds of discretionary data projects can improve profitability?  How can you ensure that analytics are reliable, lineage is traceable and that you can prove to the government that information hasn’t been tampered with? How can you proactively look for new opportunities using unstructured data? How can you ensure you maximize your spend?

Panelists will discuss how to:

• Determine how well the firm is performing and identify if there are opportunities for improved operational efficiencies
• Inlay datasets from across different lines of the business to understand customers and identify where the opportunities are
• Keep up with the growing appetite for analytics from different lines of the business

3:05, March 22: Panel Discussion | Proactive Approaches To Working Toward Better Data Quality for Better Decision Making

There is inherent business value in having data with integrity and improved data quality in any organization generates better business decisions. How do you determine the rules around data quality? How do you define KPIs and metrics around reporting?

Data quality experts will discuss:

• How can processes be automated to reduce costs and benefit in better reporting and data quality?
• How can you ensure you’re optimizing paid data sources and determining how to develop more value for the business?
• How are business processes being improved to ensure data quality up front when it is captured?