Data Management Insight Data Delivery Platforms, Cloud & Managed Services The latest content from across the platform
How Banks Harness the Value of Cloud for Scale and Agility
Financial services are recognizing the benefits that data-led processes can bring and are undergoing digital transformations that are putting data at the heart of their operations and decisions-making processes. They are seizing on data as an asset whose value can be unlocked through technology to increase revenue and reduce costs across the entire enterprise. With…
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…
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,…
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…
Reference Data Usage Management for Financial Institutions
The ongoing struggle to track reference data usage and implement controls to manage and permission access to the data means many financial institutions lack visibility and understanding of how data services are being used by staff, teams, business units and IT applications. This can have expensive and potentially damaging consequences in terms of unexpected invoices…
The Current State of Buy-Side Enterprise Data Management
The advent of enterprise data management (EDM) held up the promise of more streamlined operations, improved cost efficiencies and a tighter rein on data access. But after a decade spent trying to implement EDM, few investment managers feel they are getting the control, quality or insights they were expecting. According to an A-Team survey of…