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/ / INSIGHTS

How To Build a Successful Data Science and Analytics Capability Within Your Financial Services Firm

Authored by: Haonan Wu, Head of Data Science, Synechron, UK

If you are part of a large bank, asset management firm or insurance company, then you already know the importance that a wide range of data science models, tools and methodologies are having on your firm, its practices, processes and growth strategies.

But do you have a well-established, deeply experienced, and at-the-ready data science team you can call into action as your firm’s needs evolve, change and become more digitally reliant, and data science-centric?

There is good news! You can develop and enhance your unique financial services business by establishing your very own in-house team of experts to meet (and exceed) all of your firm’s unique data and analytics needs. In essence, you would be creating your firm’s proprietary Data Science academy. We have helped our clients develop their analytic developers into their own internal data science teams to serve this very need. Let us walk you through the process, and explain precisely what is, and what isn’t important.

 

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