About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Capco Proposes the Creation of a Data Culture to Advance Data Management

Subscribe to our newsletter

Financial firms are falling short on data management issues such as calculating the true cost of data, identifying the operational cost savings of improved data management and embracing social media data, but according to research by consultancy Capco, these issues can be resolved with a cross-organisational and practical approach to data management and the development of a data culture.

The business and technology consultancy’s report – ‘Why and how should you stop being an organisation that manages data and become a data management organisation’ – is based on interviews with towards 100 senior executives at European financial institutions. It considers the many approaches to data management across the industry and within individual enterprises, as well as the need to rethink data management. It states: “There is one certainty: data and its effective management can no longer be ignored.”

The report suggests an effective data management culture will include agreed best practices that are known to a whole organisation and leadership provided by a chief data officer (CDO) with a voice at board level and control of data management strategy and operational implementation. The CDO could be supported by data stewards across lines of business who would be responsible for practical execution of strategy, and would adopt enabling technologies manifested in developments such as data fabric.

Arguing that market developments, a growing burden of regulation and the need to shorten time to market for new products are all driving increasingly complex data management requirements, Capco states ‘doing data differently has become imperative’.

If that is the vision, the reality, at least at the moment, is somewhat adrift. According to the consultancy’s key research findings: awareness of data policies is low among financial institutions; nearly a quarter of the firms surveyed do not understand how data affects profit and loss; nearly half of them manage customer data as a regulatory compliance issue without considering revenue potential; and a vast majority of 80% have not explored the use of social media data and do not understand its value.

On the near neglect of social media data, despite such channels’ emerging use to promote products, Capco partner Lee Murdoch says: “The potential data sets in social media, such as tweets, are huge and financial institutions are faced with targeting a very large universe. Identifying meaningful patterns in social media is time consuming. There is no silver bullet solution.” Highlighting the lack of commitment to unstructured data, firms showed no top priority on how they would use the data. Instead, reducing risk, driving innovation, increasing revenue and lowering costs were all mentioned fairly evenly as top ranking possibilities.

Turning the situation around and attaching practical solutions to the data management vision of an all-encompassing data culture, Capco lists regulatory compliance, risk management, revenue increase, innovation and cost reduction as operational areas where good data management can have a measurable and positive effect on profit and loss.

Setting out how an organisation can create an effective data culture, Capco notes the need to change from being an organisation that is obliged to do a certain amount of data management, to a mandated and empowered data management organisation in which data has ongoing recognition as a key primary source. The report concludes: “Every organisation has the potential, as well as the need, to become a true data management organisation. However, the journey needs to begin now.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to organise, integrate and structure data for successful AI

Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are limited only by the imaginations of individual organisations. What they all require to achieve...

BLOG

13 Leading AI-Based Data Management Capability Providers

Institutions are facing huge operational burdens as they ingest huge volumes of data, demand real-time analytics and face stringent regulatory scrutiny. Consequently, the new data landscape is rendering traditional data management systems inadequate for the growing number of use cases to which data is being deployed. This has necessitated a shift towards modern data management...

EVENT

Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Entity Data Management Handbook – Seventh Edition

Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...