data governance

Building the Business Case for Governance

Paul McInnis, Head of Enterprise Data Management, Data Management


When it comes to making the business case for data governance, Jim Stitt, Head of Data Management at RBC Global Asset Management, likens the exercise to measuring the ROI of keeping the home garage organized. Yes, there’s real value in doing so, but he asks, “How do you measure [the value of] the holiday decorations being where you expect them to be or the right tool is readily available?”

Stitt, participating in a recent webinar hosted by WatersTechnology and sponsored by Eagle, highlights one of the larger challenges when it comes to initiating a data governance strategy. While most executives recognize the necessity for clean, accurate and timely data—and, importantly, they acknowledge the role of a formalized and systematic strategy—making the case to senior leadership or gaining buy-in across the various business functions of a global enterprise can be a daunting task.

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Eagle Consultant and Analyst Briefing

Greg Farrington, US Sales Director


Last week we hosted a meeting to discuss our strategy and current industry trends with an audience of analysts and consultants. The meeting was very well attended with over 50 participants in the room and was interactive with a high level of engagement and participation from those in the audience.

The meeting focused on the challenges facing the industry, the technology solutions investment managers are looking for and how Eagle is responding to those demands. Perhaps unsurprisingly, many of these have data management issues at their core and can be addressed by the data-centric model on which Eagle was founded. The data-centric approach is integrated in everything we do and is one that is only becoming more relevant when I look at the issues facing our clients. Read More…

Avoid Common Pitfalls in Data Quality Programs

Jeremy Skaling, Head of Product Management


Recently I participated on a panel at an industry event where the group was asked to comment on common pitfalls with data management projects. I identified three key challenges that firms face:

  • • Not having proper data governance plans and organizational support
  • • Implementing data checks at the wrong location and/or having the wrong people reviewing them
  • • Not tailoring data quality checks to a company’s business or the needs of the consumers

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