Denodo Technologies Case Studies Digital Transformation in Banking: ING-DiBa AG's Journey with Data Virtualization

Edit This Case Study Record

	Digital Transformation in Banking: ING-DiBa AG's Journey with Data Virtualization Denodo Technologies

Digital Transformation in Banking: ING-DiBa AG's Journey with Data Virtualization

Denodo Technologies

Technology Category	Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries	Construction & Infrastructure Finance & Insurance
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

Technology Category

Platform as a Service (PaaS) - Application Development Platforms

Applicable Industries

Construction & Infrastructure

Finance & Insurance

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.

About 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.

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.

Impact #1	The deployment of the Denodo Platform and the incorporation of data virtualization led to a significant transformation in ING-DiBa AG's data infrastructure. The bank was able to support more data sources and data models, enhancing its ability to efficiently integrate and deliver relevant data through the right channels. This not only improved the cross-channel experience for customers but also increased the agility of the bank's data teams. They were able to more quickly respond to business requirements, leading to an increase in data-driven initiatives. The solution also reduced manual and overall development efforts, streamlining operations and enhancing efficiency.

Impact #1

The deployment of the Denodo Platform and the incorporation of data virtualization led to a significant transformation in ING-DiBa AG's data infrastructure. The bank was able to support more data sources and data models, enhancing its ability to efficiently integrate and deliver relevant data through the right channels. This not only improved the cross-channel experience for customers but also increased the agility of the bank's data teams. They were able to more quickly respond to business requirements, leading to an increase in data-driven initiatives. The solution also reduced manual and overall development efforts, streamlining operations and enhancing efficiency.

Benefit #1	Faster time-to-market for reporting and data analysis
Benefit #2	Quicker access to data
Benefit #3	Increased data-driven initiatives

Benefit #1

Faster time-to-market for reporting and data analysis

Benefit #2

Quicker access to data

Benefit #3

Increased data-driven initiatives

Download PDF Version

Overview

Digital Transformation in Banking: ING-DiBa AG's Journey with Data Virtualization

Operational Impact

Quantitative Benefit