The data management world has long been addressing the data governance problem. Yet, firms continue to adopt erroneous approaches or avoid the issue altogether. Carla Mangado explores how the current economic environment will push firms to give data governance the attention it requires
Data governance has typically been passed over by firms who have not realized the long-term business benefits a successful program can lead to. While the discipline continues to evolve, the level of maturity in the industry is just not present.
But this is already changing. As word spreads about how a good data governance program can help with essentials such as reducing risk and enabling compliance, the current economic environment is already pushing firms to focus on introducing new frameworks.
Software vendor DataFlux released a financial services sector research report in March in partnership with research consultancy Business Development Research Consultants (BDRC), which revealed data governance is clearly on the agenda. The results portrayed increasing momentum, with 34% of participants already having completed a data governance project and a total of 29% currently implementing one or considering to do so.
Awareness is growing fast. In July 2008, the IBM Data Governance Council, a group that focuses on data governance challenges and explores best practices in the field, predicted that within three years data governance would become a regulatory requirement, the value of data treated as an asset on the balance sheet and reported by the chief financial officer, who would become responsible for reporting on data quality and risk to the board of directors.
The predictions are now being realized sooner than initially expected. “Eight months on from releasing the research, we have seen these issues accelerating,” says New York-based Steven Adler, chairman, IBM Data Governance Council, adding that he expects 2009 to be a big year for data governance due to the already increasing focus across many industries.
Such an immediate response is not unexpected. At a time when risk and compliance keeps top management awake at night, awareness of the need for good data quality is rising. And data governance is an essential factor to achieve this goal. In fact, Adler says there is a tremendous amount more activity in data governance today, and he thinks the risk environment and the repercussions around the economy are driving this focus.
Orlando-based Gwen Thomas, president at the Data Governance Institute, says everyone is now confident to move forward in this space, ensuring leaders have the information they need to deal with the credit crunch and the future. “One of the most important benefits of data governance is the transparency it offers into the true state of an organization’s data,” says Thomas, adding that this is a must for effective decision-making, to resolve long-standing data issues and pro-actively to set standards and business rules to avoid future problems.
Now that everything revolves around transparency and control, data governance is certainly seen as the way forward. Methodologies must be put in place to achieve this. Data governance can enable firms to deal with a wide range of systems, creating a consistent and single view and facilitating more effective risk management. “For the business to accurately and effectively manage risk, they need to have a better method or some methods in place to effect information control and awareness,” says Toronto-based Mark Cowan, managing director at the data management strategies and Saas integration provider First Spike.
A clear vision of data is essential. Datanomic, the data integration and data quality software provider, recently started a data governance program with a US-based financial institution. The main driver behind the project is Basel II compliance – which is now becoming a data governance project-driver in the US market – and achieving a single view of the data. London-based Steve Tuck, chief strategy officer at Datanomic, says the first steps consisted of identifying the key areas that need attention and their different requirements. Knowing the state of the data is essential, he says, explaining that he often advises clients to start small.
Firms that already have data governance programs in place are now increasingly turning to such frameworks to achieve goals and provide the required alignment with the cross-functional input needed to effectively tackle data issues. “What I see everywhere is awareness that governance is needed so that these assumptions about quality and standardization and definitions can turn from untested assumptions to actionable knowledge,” says Thomas, adding that data governance can bring all the cross-functional groups together so that they can bring all the pieces of the puzzle to the table.
Cost, Organization and the Business Challenge
Still, with the current cost-cutting initiatives, limited budgets and need for immediate business and economic benefits, some firms may not be willing to start data governance projects. But with increasing talk about regulation having a greater say in the emerging governance, risk and compliance space (GRC) those not involved in data governance will soon have to be.
In fact, according to a white paper released by data quality system provider Harte-Hanks Trillium Software called Data Intelligence and Governance, such needs are already at the forefront of the debate, and regulators now require GRC teams to open their risk governance processes to detailed scrutiny.
London-based Colin Rickard, managing director, north and west Europe at DataFlux, says: “Data governance is about proving to the regulator that what you are doing is correct … creating transparency is equally as important as cutting costs.”
Such programs do provide results, and Thomas says that with the highest ROI of many firms’ efforts, data governance projects are the critical path to enable other projects to be successful – making money while reducing complexity.
Firms are already responding. “They want better quality reports and visibility into the underlying data, a demand now usually coming from the director and senior level of organizations – then from the innovation side of these businesses, they all have to see horizontally across the data sets, better, faster, cheaper than before,” says Cowan.
But firms should not be put off by thinking such projects will not give short-term benefits. Berkshire-based Ed Wrazen, vice-president, product management and strategy at Harte-Hanks Trillium Software, says data governance is all about reaching both short-term and long-term goals with an overall strategy in mind.
“The value is where data governance can be applied in the context of short- and medium-term business goals not losing sight of the overall strategy,” he says, adding that it is all about having a long-term vision while generating value for the organization.
And while tackling projects with an overall strategy in mind, firms also have to set achievable expectations. London-based Peter Moss, global head of content, technology and operations, Thomson Reuters, says some organizations are totally committed to data governance but struggle to get results. “They try to define a perfect world. Instead, they should define a vision where they want to get to and take very pragmatic steps to get there,” says Moss.
To be successful, firms need to tackle the organizational issue. Internal data governance councils, which take the lead when it comes to data governance, have been regarded as part of the solution. These have emerged both at a very high executive level, treating the council as a small board of directors at the management level and at lower levels focusing more on the operational aspects of data governance. “I have seen companies around the world create such groups in past years, but the financial crisis is accelerating it and it’s happening today,” says IBM’s Adler.
But such councils can only be successful if the organization has the right alignment within the business to tackle the challenges. “If you haven’t got the right alignment within the business to make sure everybody throughout the organization is engaging appropriately, then the governance board isn’t going to be of much value, but if you have business alignment and don’t have a back-up board that makes the key strategic decisions, the business alignment will not be as effective,” says Moss, adding that it’s all about combining both together. “Data governance is more about understanding how to manage the journey than defining where you want to get to,” he says.
The main challenge remains achieving enterprise-wide recognition that data governance is linked to business initiatives. This is problematic as, done in isolation and away from the operating pieces of the business or technology, Cowan says data governance will not give the benefits expected.
Terminology could represent one of the first issues that need to be overcome. “Data governance doesn’t inspire a lot of excitement or interest from the business side, but it is increasingly being linked to business initiatives,” says Wrazen. “If you can link data governance to a business program or goal and show the value it will generate with tangible evidence through the improved quality of data, that’s where we will see the success in data governance,” he adds.
Firms are no longer seeing data governance as an optional task but a necessary process – not one project in isolation with a specific timeframe but several projects creating an enterprise-wide program with specific long-term and short-term goals. The industry is even beginning to notice the rise of data governance-related job titles. Perhaps this is the ultimate sign that the approach to data governance is changing.
The Governance Forecast
The DataFlux and BDRC primary research survey amongst a senior IT audience reveals some of the UK financial service sector attitudes to data quality, data governance, regulation and compliance.
34% of firms have already implemented a data governance project
11% of firms are implementing a data governance project
18% of firms are considering implementing a data governance project
16% claim no-one has specific responsibility for data quality or governance initiatives
36% claim IT is responsible for data quality or governance initiatives
14% claim the data steward/manager is responsible for data quality or governance initiatives
91% of firms have established an enterprise-wide view of data
9% of firms have no wide view of data but plan to change this
73% say compliance is the main driver for investment in data management
52% say organizational efficiency is the main driver for investment in data management
By: DataFlux, BDRC.
Source: IRD – Inside Reference Data, April 2009
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