Data Management

We help you make your data work harder and give you an edge.

Data is the backbone of every organisation. But with increasing amounts of data - of different complexities, sources and types - our clients face the challenge of capturing, shaping and using data effectively.
We work with our clients to help them turn their data into a competitive advantage.

We help businesses define data strategies and architectures that help them extract best value and streamline their processes and practices. Our expertise in this area allows us to help our clients define a data strategy that covers their whole operating model, including people, processes and systems.

Best practice for governance

Good governance means staying on top of data. Knowing who is responsible and accountable for maintaining and updating what data is key.

We work with clients to define rules around creating and maintaining data and advise them on data governance best practice.

Best solutions for your business

We constantly research the market for the best technologies to manage data. We understand the key factors that will inform the right data solution for a firm.

Best of breed vs in-house

It’s a tough decision knowing whether to stay in-house or outsource. Our benchmarking and experience guides our clients to the solution that’s right for their business.

Best advice for our clients

Because we’re independent, our clients trust us to be objective on strategy and selection.

And because we know what vendors really offer, we can filter out sales material from the tools that add real value.

All our clients strive to maintain and drive value from the data they manage for their clients. We understand how technology and good governance can make that data more accessible, better organised and more valuable.
Joe Morant, Director
Recent Data Management projects include:

June 5, 2015

Refreshing the client’s data management solution and model, using Alpha’s in depth expertise of the vendor market.


June 5, 2015

A revised data strategy and model: enhancing the end user experience for clients and regulators, and giving them improved reporting and performance and attribution analysis.

Data Management highlights

  • Objective advice on choosing the best solution
  • Manage data more effectively
  • Achieve best practice for governance
  • Find a solution that integrates with existing architecture