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Data Management Insight White Paper

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The Business Case for Master Data Management Transition Within Financial Institutions

Master data management ensures the creation of a “single source of truth” of information for banks and financial institutions that not only provides that the data remains intact but also makes it available and useable across the entire enterprise. Once the information foundation of golden data is established with MDM, the data can be used...

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The Business Case for Master Data Management Transition Within Financial Institutions

Master data management ensures the creation of a “single source of truth” of information for banks and financial institutions that not only provides that the data remains intact but also makes it available and useable across the entire enterprise. Once the information foundation of golden data is established with MDM, the data can be used...

Achieving a 360-degree View of Risk with Data-Driven Insights and Strategies

Technology and data have reached a level of sophistication that is enabling financial institutions to calculate and manage the risks to which their activities and investments are exposed. Leveraging the two, however, is a challenge; if the data isn’t properly managed, the technology that identifies patterns and insights may be unable to operate optimally. One...

Driving Data Adoption Throughout an Organization via Self-Service

Financial institutions and corporations across the board are seeing value in the data sets they generate through their business activities. But harnessing this data to provide valuable insights for internal business teams can be a challenge. One approach is to adopt a self-serve data delivery model that empowers consumers and ensures they get access to...

Creating an Enterprise-Wide Data Fabric to Underpin Digital Transformation in Capital Markets

As they seek to adopt a data-driven approach to their business operations across the enterprise, capital markets firms need to put in place a common data fabric that embeds their single view of the truth, and to underpin analytics, reporting and regulatory processes. But legacy data systems often are not fit for purpose; often fragmented...

B2B Data Marketplaces and Beyond

Financial institutions and corporations often generate huge quantities of data as a by product of their core activities. This data – details of historical transactions, customer interactions and metadata for referring to instruments, counterparties or entities – can provide valuable insights for industry participants, and form the basis of a meaningful data sales business. But...

Sanctions Screening for Indirect Investments – The Buy Side’s New Compliance Challenge

The global political climate over the past few years has sparked a jump in the use of sanctions to attempt to influence the behaviour of players in the geopolitical landscape. While sell-side firms are familiar with sanctions and have long been required to monitor the securities they trade, own or recommend to clients to ensure...

Next-Generation Network and Vendor Management: mitigating operational risk in relationship networks

The complex network of relationships that financial institutions have built with multiple partners has created a huge operational burden, resulting in significant operational risk as well as financial and compliance risk. Dating back decades, many of these relationships are now managed as a separate business function, costing organisations millions of dollars. Add in regulatory obligations,...

Practical Data Strategies for meeting ESG Obligations in Financial Services

The ESG investing landscape is poised to become more defined, as competing definitions, standards and regulatory initiatives start to converge. The impact of ESG will be felt far and wide across the financial services community, which will face practical challenges in developing and implementing an ESG strategy that is both effective and avoids box-ticking –...

Data integrity: Your key to confidence in a complex regulatory environment

Despite the recent challenges of the Covid pandemic, regulators have made it clear that they will not accept reporting errors, particularly those that are related to data. Enforcement is more stringent, scrutiny is more in-depth, and the pressure is on to ensure – and demonstrate – that the data underpinning your reporting and activities is...

Embracing Automation and Collaboration Tools to Inject Reference Data into the Trade Lifecycle

Digital transformation in the financial services sector has raised many questions around data, including the cost and volume of reference data required by each financial institution. Firms need flexible access to the reference data required to ensure workflows can proceed without interruption. ‘One-size-fits-all’ bulk data licensing models are increasingly less fit for purpose. Emerging solutions...