Centralization Moves to the Foreground

Without collection and coordination of data, high quality is difficult to achieve

michael-shashoua-waters

In the May issue of Inside Reference Data, coverage finds several organizations and regulators working to centralize data to enable better analysis and regulatory compliance capability

In April, data quality emerged as the prevailing theme of greatest concern in our coverage. This month, data centralization is in the spotlight. Coordination of data might be a better way to describe this. Certainly, centralizing and coordinating data ought to go hand in hand with raising the quality of data, if either effort is going to be meaningful or successful.

We start with news of the European Securities and Markets Authority's (ESMA) plans to centralize instrument and trading data to-of course-improve data quality, and the Depository Trust & Clearing Corporation's (DTCC) plans to align swaps data to better support analysis of the data. Then, in our interview with Fidelity ActionsXchange executive Will Dolan, he talks about how the corporate actions service brings together multiple data providers' inputs. Centralization is prevalent in these industry developments.

In Europe, ESMA's Trade Repositories Project, planned for the second half of 2016, promises a single access point to data in those repositories, and its Instrument Reference Data project, expected to be complete in 2017, ought to yield a central facility for both instrument and trading data. Such a central repository will also make regulatory compliance easier, observes Sapient's Cian O'Braonain. "Creating a centralized repository gives each of the different regulatory jurisdictions a similar toolset, a similar capability to be able to analyze and aggregate data," he says.

For both Europe and the US, DTCC's Marisol Collazo calls for a global standard for trade identification that will "resonate" for all jurisdictions. Such a standard has to include a definition of data quality across firms, repositories and regulators, and be supported by data aggregation efforts. DTCC's alignment of swaps data is meant to produce better analysis to feed into that data aggregation.

Centralization even turns up in parts of those data quality conversations, reported in "Steering the Drivers of Data Quality," in which Goldman Sachs' Gururaj Krishnan emphasizes that having "exactly one source" for data to be managed is an important point in the firm's data strategy. Alta Strategic consultant Dennis Gonzalez adds that coordinating sources of data and data operations units is important in efforts to deliver data quality.

Looking at another issue, the integration of Canadian trade reporting with its equivalent in all other global markets, a global, coordinated, centralized and aggregated data set would also be the foundation to accomplish that goal, as Collazo says in "Imperfect Harmony." ​To harmonize regulations for OTC derivatives worldwide, barriers in place precisely to keep data sets separate have to be removed. Two types of data sets-national or regional data sets for market surveillance, and smaller global data subsets for systemic risk oversight, are separated under data protection laws. So, harmonization of the data sets has become a factor in cross-border functions of the markets, as well.

With so many areas of data management touched by the need to centralize data, this effort ought to take on as much importance and urgency as the quest for higher data quality.

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