CDO BFSI Agenda Day 2
When prioritizing data initiatives based on business impact and strategic alignment, data leaders in the sector are now trying to select a few strategic areas where data can drive significant value. In choosing initiatives that can be delivered in a shorter time frame, tested, and measured for impact at a smaller, deeper scale, and then scaled up if successful CDOs can focus their resources more efficiently.
• Weigh up the benefits and drawbacks of both depth (in-depth change of specific domains) and breadth (covering multiple areas)
• Hear from industry peers how changing their strategy has impacted their work and the team’s integration within the wider company
• Assess which projects lend themselves more to a “narrow and deep” approach
• Hear from data leaders about the metrics they put in place to evaluate the successes or failures of projects
Implementing a data strategy can be quite expensive, and it is hard to justify the investment. What if we could reduce the cost of implementing a data strategy significantly by addressing some of the root causes of cost?
Discussion point:
- Five ways that data strategies are increasing avoidable costs, from technology mismatches to talent acquisition.
- Explore alternative methods of achieving the same outcomes with a fraction of the cost
- How DataSync DQ can help on this journey
Data quality processes need to move from reactive practices to more proactive frameworks and approaches. This is a key requirement to provide secure and scalable models and analytics driving business growth, in addition to automating processes and generating efficiencies.
In this session we will:
Join us in this session to discover how your peers in the BFSI sector are monitoring and improving data quality and hygiene at an enterprise level – and especially in readiness for AI use cases and implementation.
As AI creates unprecedented opportunities to reimagine the customer experience, the need for high-quality data and a trusted data foundation has become paramount - especially in the banking and financial services market. Modern data architectures and AI-powered data management technologies are now revolutionizing how BFSI businesses access and share unified, AI-ready data where it is needed, when it is needed.
In this session, you will learn about:
Fostering data literacy had the potential to propel businesses toward informed strategies, enhanced customer experiences, and optimised processes but much too often they’ve encountered hurdles like complex data ecosystem, legacy systems, and the length of the process. In the dynamic landscape of data-driven decision-making, data democratization emerges as a transformative force that establishes ownership and increases accountability. The panel will delve into the hurdles they encountered and solutions they employed whilst putting into motion their data democratization strategies and the pivotal role success played with unlocking competitive advantages.
• Hear actionable advice for successfully promoting data literacy within organisations
• Learn how to increase stakeholder’s exposure to data to foster familiarity and encourage ownership and accountability
• Explore ways to break down data silos and empower employees at all levels to access and utilise data effectively