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Articles

The untapped potential for financial services organizations

Financial services organizations have access to copious amounts of customer data. But many aren’t using the data to its full potential. As a result, they’re missing opportunities to progress on…

data mesh

Financial services organizations have access to copious amounts of customer data. But many aren’t using the data to its full potential. As a result, they’re missing opportunities to progress on company goals, whether it’s identifying new revenue streams, reducing operating costs, improving customer satisfaction, minimizing fraud and errors, and much more.

For many organizations, they aren’t aware of just how much information they are collecting. Others know they’re collecting data but don’t have the right infrastructure to make use of it.

Putting the tools and technology in place to make data valuable across the organization should be top of mind for financial services companies looking to progress on goals in 2023. 

Essentially, data should be looked at as a marketplace for producers and consumers. 

What products and services can you offer to engage new customers and retain and grow existing ones? How can you combine data you’re already collecting internally with data that can be obtained externally to identify new market opportunities? Where are the biggest cost-savings opportunities across the organization? What’s impacting your Net Promoter Score (NPS) and how can you improve it?

The answers lie in your data – and getting them involves both data mesh and data products. 

In simple terms, a data mesh is architecture built to organize, govern and secure data by individual business domain, so sales data, marketing data, customer service data, etc. sits with those involved in that specific domain, providing them more visibility and ownership. 

And what’s a data product? A useable and valuable dataset that enables data analysts and data scientists to rapidly achieve a goal, like build an application or gain insight into customer behavior so you can better serve them.

When data is organized and properly structured, it can be used to identify and create solutions and services most beneficial to the organization and its customers. This is achieved by using tools like AI and machine learning when you’re looking to generate more leads, increase customer retention, boost profitability, improve in-house operations, reduce errors, or anything in between.

Our experts are helping businesses around the globe reap the significant benefits of data mesh and products, from developing the strategy through to build and execution. Get in touch today to find out how we can support you.

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