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

IBM Data Governance Council Ponders the Future of Data and Plans to Establish Best Practices

Subscribe to our newsletter

The IBM Data Governance Council, which was set up three years ago by IBM and comprises 50 financial market firms, is currently discussing establishing best practices for the industry on how to manage critical financial data.

The council plans to build what it calls an “information governance framework”, which will be based on their existing data governance maturity model. This essentially means that it will provide the industry with guidance on how to execute data governance at a granular level with defined roles, tasks, activities and a broad set of data governance procedures to make data governance a part of business operations.

Steve Adler, chairman of the council, explains: “Upcoming work by the council will help organisations better understand governance, how it will benefit the bottom line and be reported to the markets, as well as the desired end result for each business. This is an important contribution the Data Governance Council can make in the marketplace and we invite others to participate as we build standards that define the next level of maturity for this important discipline.”

The group is focused on improving the accuracy and visibility of data including client information and financial positions via better data governance. According to the IBM-led council, data will soon be treated as a key performance indicator (KPI). It will also be treated as an asset on the balance sheet and reported by the chief financial officer, while the quality of data will become a technical reporting metric and IT KPI.

“Data governance today is at a crossroads, creating the opportunity for a marked change over the next four years as data quality evolves into a key performance indicator for businesses worldwide,” the group explains in a statement.

Richard Livesley, head of information governance and quality at BMO Financial Group, which is a member of the council, explains: “There is no one size fits all approach to data governance. Every company must configure their own data governance programme based on their individual needs. Likewise, there are different levels of data governance maturity and different ways of attaining it. In just a few years, data governance will become a key benchmark as boards of directors recognise their fiduciary responsibility to enhance and protect data, and markets measure business performance by looking at data value and risk on the balance sheet.”

It is likely that in the next four years regulators will require institutions to demonstrate sound data practices as part of regular data audits, the group says. As a result, new accounting and reporting practices will emerge for measuring and assessing the value of data to help organisations demonstrate how data quality fuels business performance.

Risk calculation practices will become more automated and this will, in turn, provide greater transparency to the market. The role of chief information officer will change over time, so this position is responsible for reporting data quality and risk to the board, the group contends.

Furthermore, new categories of operational software will emerge that demonstrate common data governance problems and allow employees to self- govern, sponsor and vote on new policies, provide feedback on existing ones and participate in dynamic data governance.

Members of the council include Deutsche Bank, Merrill Lynch, American Express, Bank of America, Bank of Tokyo-Mitsubishi UFJ, Bank of Montreal, Bell Canada, BMO Financial Group, Citibank, Discover Financial, Kasikornbank, MasterCard, Nordea Bank, Wachovia, Washington Mutual and the World Bank.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Hearing from the Experts: AI Governance Best Practices

The rapid spread of artificial intelligence in the financial industry presents data teams with novel challenges. AI’s ability to harvest and utilize vast amounts of data has raised concerns about the privacy and security of sensitive proprietary data and the ethical and legal use of external information. Robust data governance frameworks provide the guardrails needed...

BLOG

Data’s Evolution Continues From Cost to Core Asset: DMS New York City 2025 Preview

Modern Chief Data Officers are not only the guardians of financial institutions’ data estates, they are also the caretakers of their single-biggest asset. With every part of an organisation’s business now dependent on data, the custody of its digital information is every bit as critical to operations as the management of trading teams or even...

EVENT

TradingTech Summit New York

Our TradingTech Briefing in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

Valuations – Toward On-Demand Evaluated Pricing

Risk and regulatory imperatives are demanding access to the latest portfolio information, placing new pressures on the pricing and valuation function. And the front office increasingly wants up-to-date valuations of hard-to-price securities. These developments are driving a push toward on-demand evaluated pricing capabilities, with pricing teams seeking to provide access to valuations at higher frequency...