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Our consulting and services teams are experts in financial data, with practical experience in over 65 banking and buy-side implementations around the world.

From post-trade processing to independent price verification and stress testing, Asset Control provides insight-driven financial data management solutions for any application. A solid data sourcing and mastering process is combined with easy ways to distribute, integrate, discover and explore the data.

Asset Control’s provides a standard data model that tracks regulatory developments and keeps integration with content providers up to date. Its business rules capabilities can be used for risk factor classification, taxonomies, proxy management, risk factor preparation and eligibility tests

Asset Control’s provides a standard data model that tracks regulatory developments and keeps integration with content providers up to date. Its business rules capabilities can be used for risk factor classification, taxonomies, proxy management, risk factor preparation and eligibility tests

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The growth in data volumes and in data diversity coupled with increasingly data intensive jobs and reporting requirements mean firms need to improve their market data access and analytics capabilities.

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Asset Control and WBR Insights
31 January 2018

2018 STUDY HIGHLIGHTS TECHNOLOGY TRENDS IN DATA MANAGEMENT AMONG FINANCIAL ORGANISATIONS

Key themes include Cloud and NoSQL database adoption; and the increasing evolution of the Data Management function to enable business users and regulatory compliance

Increased regulations and client demands have transformed data management requirements in finance. Especially on the buy side, firms now need to integrate risk management and performance solutions while optimizing internal data functions that have historically slowed down the creation of business value.

During December 2017, Asset Control and WBR Insights undertook a study of 100 leaders in financial data management, include industry experts at top levels of their organisations in enterprise data management, analytics, business intelligence, operations, data strategy, and others. 65% of responding firms were from the broader buy side of the industry, including organisations in asset management (36%), insurance (21%), and hedge funds (8%). The remaining 35% of companies were either banks (27%) or some other type of financial organisation (8%).

The study indicates that today’s data management organisational model has no clear standard, with 25% of firms using a hub-and-spoke framework with some data centrally mastered; 24% (and 41% of banks) using a hybrid model with the Chief Data Officer (CDO) setting policies for working with business units; and another 22% of respondents using separate data management systems driven by departments or business units.

However, despite these differences, the findings also indicated that financial organisations are looking to reorient their data management strategy in a uniform way, with priorities aligned in terms of organisational goals and technology adoption to come.

Managed services has become a priority as organisations seek to outsource data management functions to streamline operations and reduce cost. 55% of respondents are currently either very, or somewhat interested in on boarding managed services and utilities, while the 40% of respondents who are currently neutral expect to on board managed services and utilities in the next 12 months.

The transition from in-house data management and limited outside management suggests there are substantial benefits to be found in adopting third-party services. Indeed, the move to cloud based services is reflective of changing business priorities, as alongside regulatory compliance as a top priority (52%) for data management teams, the study highlights that business enablement has also become of critical importance (48%).

Martijn Groot, VP Product Strategy, Asset Control, explains: “Traditionally, firms had managed data in-house for greater control of compliance-related issues. While compliance is always of concern, many firms are finding that third-party data management provides more flexible options that will allow them to achieve greater business value from their data as well.”

Alongside cloud adoption as the highest priority, 49% of firms rated data management technology innovation (ie. the adoption of NoSQL databases) as a high priority and a further 48% said that adding business value with non-traditional data was key for the data management function over the next 12 to 18 months.

Martijn Groot continues: “Cloud and NoSQL support both a more flexible cost model and the access and scalability required to support users in valuation, research, quantitative analysis, product control and risk management, as well as required by increasingly data intensive risk and financial reporting processes (including the Fundamental Review of the Trading Book).

“In addition, they offer a remedy to many existing inadequacies or bottlenecks in companies’ reference data management solutions, from data inconsistency, difficulty with regulatory reporting, an inability to manage multiple data sources and problems with user enablement.”

He concludes: “As financial companies in an industry without clear data management standards continue to seek improvements, we anticipate that NoSQL will have become an industry standard by the start of 2019. The use of cloud infrastructures, NoSQL database solutions, and related managed services today heralds a fundamental reorientation of data management strategies as firms move to support the growing data intensity of business and regulatory processes.”

For a full copy of the study findings, please visit: http://www.asset-control.com/insights/white-papers-testimonials/white-papers/inflection-point-innovating-business-enablement-data-access-and-reporting-in-finance/