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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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Our range of products help financial organisations deliver high-quality reference, market and risk data to the people and applications that need it – on time, all the time

Meet the specific data requirements of risk management and new regulation

Providing award-winning data mastering engine with AC Plus

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The industries largest managed data lakes for seamless data acquisitions

Continually innovating to stay on top of new customer requirements and technologies in data storage and processing

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Asset Control helps financial organisations deliver high-quality reference, market and risk data to the people and applications that need it – on time, all the time

Helping our customers succeed through client engagements while building personal connections

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Optimize operational costs by utilizing both our expertise and that of our partners for business processing right through to technology operations

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Adoption of the LEI code as an example of workflow complexity reduction
18 MAY 2018

The recent announcement from the Global Legal Entity Identifier Foundation (GLEIF) that over half of front office staff spend 27% of their working week onboarding new client organisations highlights today’s wide-spread challenges around data set-up and data quality.

The research shows that 50% of financial institutions use, on average, four identifiers to help identify client organisations and the onboarding process takes, on average, six weeks. 57% of respondents also agree that reliability of reference data is a challenge.

GLEIF has called for a globally accepted approach based on broad adoption of the Legal Entity Identifier (LEI) to remove complexity from business transactions and deliver quantifiable value to financial services firms.

LEI uptake in Q1 2018 has significantly exceeded historic data, with about 168,000 LEIs issued in the first quarter driven by the anchoring of the LEI code in MiFID II, compared to 19,000 issued in the first quarter of 2017.

Whilst this growth in the LEI universe reflects the regulatory push for clear identification of financial markets’ participants and accurate, actionable data, combined with the GLEIF research it further reinforces the necessary changes to firms’ traditional sourcing, mastering and distribution processes. It also puts pressure on financial institutions to ensure they really understand their data management processes.

Data confidence is a fundamental requirement in post financial crisis trading. This means firms need to be able to provide end users with access to a simplified view of the data acquisition, cleansing and provisioning process for each data source in order to foster a common, companywide understanding of the data and how it is used.

Ultimately, ensuring data quality and confidence is the lynchpin to improved workflows, increased operational efficiency and reduced operational and regulatory risk.

About the author

As VP - Product Management, Martijn Groot steering Asset Control's strategy for innovation and directs product investment and communications.  Martijn has unrivalled financial and risk data experience, as well as extensive knowledge of our customers, having held Market Strategy and Business Development roles here prior to rejoining the company in 2015. A published author, with an MBA from INSEAD and an MSc from VU University Amsterdam, Martijn's career history spans a variety of areas, including software development, financial analytics, risk, product and consultancy, at firms such as ABN AMRO, Euroclear and IGATE.

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