5th Annual Data Quality and Consistency in Financial Institutions

This marcus evans conference will show financial firms how to integrate business objectives with data quality goals when embedding governance processes and tools to achieve a quantifiable difference for data quality at a time where data centric initiatives such as AI are taking off. 

Data is considered more of an asset than ever before, but not every financial institution is optimising it to the degree that they might. The consequences of poor data quality and governance practices not only impede advanced data projects, but also affect the efficiency of day-to-day operational activities, as firms cannot be certain that they are working with the most up to date copy. Fragmentation of data over multiple platforms and domains, as well as a lack of transparency between producer and consumer, continue to hold many firms back. But while unreliable data quality has the potential to obstruct the achievement of business objectives, strong data governance can streamline operational capabilities to ensure that business goals are met greater ease. Firms that implement appropriate data governance, frameworks and tools are better placed both to meet their business goals and meaningfully benchmark the quality of their data.