Technology Category
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Construction & Infrastructure
- Finance & Insurance
About The Customer
ING-DiBa AG is one of the leading digital and universal banks in Germany. It offers a wide range of financial services including accounts, savings, mortgages, loans, deposits, pension plans, equity and fixed income securities, brokerage services, and investment funds. As a digital bank, ING-DiBa AG has a significant online presence and serves its customers through various digital platforms and mobile apps. The bank is committed to providing a seamless cross-channel experience to its customers and uses advanced technologies to enhance customer engagement and satisfaction.
The Challenge
ING-DiBa AG, a leading digital and universal bank in Germany, was grappling with the challenge of managing a large number of legacy data systems. These systems were creating inefficiencies in serving customers in the digital age, especially as more customers began interacting with banks through online platforms and mobile apps. A seamless cross-channel experience was crucial for customer engagement and satisfaction. However, the existing data infrastructure was not equipped to efficiently integrate and deliver all the data relevant to customers and business users through the right channels. This was hindering the bank's ability to quickly deliver on business requirements and was increasing manual and overall development efforts.
The Solution
To overcome these challenges, ING-DiBa AG deployed the Denodo Platform to create value quickly and in an agile manner. The platform incorporated data virtualization, enabling ING to re-architect its data infrastructure to support more data sources and data models. The focus was on reporting and data science use cases, providing the necessary support for data access, rights management, and data pre-processing. This new approach to data architecture increased the agility of ING's data teams, enabling them to more quickly deliver on business requirements. The solution also reduced the bank’s manual and overall development efforts, leading to faster time-to-market for reporting and data analysis, quicker access to data, and an increase in data-driven initiatives.
Operational Impact
Quantitative Benefit
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