Customer Stories
Building Up Advanced Analytics Practice
How ING transformed to a bank with analytics as a business model, by implementing a Global Analytics Academy.
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Industries:
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ING is a global financial institution with a strong European base, offering banking services. The organization draws on its experience and expertise, a commitment to excellent service and a global scale to meet the needs of a broad customer base, comprising individuals, families, small businesses, large corporations, institutions and governments. Customers are at the heart of what ING does.
ING employs more than 52,000 employees that offer retail and wholesale banking services to customers in over 40 countries. To determine what the banking industry should look like in the future, ING looks closely at the services society needs banks to provide and then, what kinds of banks can best provide these services.
ING wanted to become a bank with analytics as a business model, but its workforce lacked the required skills and expertise
Why
Global Analytics Academy with learning journeys customized for each data role in the organization plus online data awareness courses for the whole workforce
What
Over 5,000 employees assessed, trained and certified as Analytics Sponsor, Business Translator or Data Scientist in face-to-face courses, and 52,000 employees trained in total
How
Global Analytics Academy
To execute the organization's AI strategy, ING defined the need to grow AI skills throughout the company. The goal was to develop AI competencies for their global workforce and grow the ability to contribute to and work on AI use cases.
Besides developing a common understanding of AI throughout their business, ING also expressed the ambition to establish a standard way of working. They asked Xebia to provide learning journeys for over 5,000 employees globally by providing coaching and learning services.
Xebia has been teaching over 5,000 professionals face-to-face and 52,000 in total at ING worldwide. This led to the introduction of best-practices and a standardized way of working. As a result, ING established a higher efficiency in the realization of use cases, a bigger use case pipeline, and the ability to tackle AI challenges more effectively than ever before.
At ING, Xebia helped kick off multiple big data implementations. Adding to that, Xebia worked closely together with the Commercial Banking branch of ING to help establish a data-driven culture within the organization. Over the last years, a number of business cases have been developed and released into production.
In order to escalate the skills of the Advanced Analytics team, Xebia developed the Data & AI Accelerator Program. For ING, the full 24-day program was organized as an in-company program.
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