For many buyside firms, managing market and reference data is an expensive and time-consuming process that distracts staff from more business-differentiating projects. Enterprise Data Management (EDM) systems and outsourcing have boosted data quality and operational efficiency, but have fallen short on delivering the business agility firms need to keep up with market, business and regulatory changes. 

Today, an increasing number of buyside firms are turning to Data-as-a-Service (DaaS) to solve their data management headaches. But what constitutes a true DaaS offering, and how does it differ from other solutions available on the market?

In this webinar, we’ll discuss the shortcomings of traditional approaches to EDM, and why Data-as-a-Service (DaaS) is now the ideal target operating model for market and reference data management. We will also hear from market participants about key drivers and potential stumbling blocks to DaaS adoption, to help you assess how your firm might benefit from a DaaS offering.


Discussion points to include:

  • How has Covid-19 exacerbated existing data management challenges?
  • What’s missing from traditional data management operating models?
  • What is Data-as-a-Service and how does it differ from a managed service?
  • What are the drivers and barriers to adoption of Data-as-a-Service?
  • Where can automation techniques such as RPA, ML and AI be leveraged and integrated?
  • What to look for in a Data-as-a-Service solution provider?

To learn about Data as a Service (DaaS) as an operating model for data management, with embedded data operations, data advisory and change management services, the video HERE explains the basics: