Building a Culture of Data Literacy at UOB
Customer Company Size
Large Corporate
Region
- Asia
Country
- Singapore
Product
- Qlik
Tech Stack
- Data Analytics
- Data Visualization
- Data Discovery
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Data Mining
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Finance & Insurance
Applicable Functions
- Business Operation
Services
- Data Science Services
- Training
About The Customer
United Overseas Bank (UOB) is a multinational banking organization headquartered in Singapore, with branches mostly found in most Southeast Asian countries. Known for its corporate banking services, the bank also offers a comprehensive range of personal and commercial banking services and treasury services. The bank's aim is to provide quality products and excellent customer service. As part of its digital transformation journey, UOB has been focusing on data discovery and analytics. The bank's Big Data Analytics Centre supports advanced analytics for UOB at an enterprise-wide level, in Singapore and globally.
The Challenge
At UOB, the traditional approach to data discovery was a per-project process used for regular reporting purposes. Extracting data for these reports was often manual and time-consuming. The reports created were also often one-dimensional and not in real-time as there were limitations when analyzing historical data on Excel files. The bank wanted to make data discovery more accessible, insightful, and relevant to business real-time needs. They also wanted to create a culture driven by data analytics across the organization.
The Solution
To make data discovery more accessible, insightful, and relevant to business real-time needs, UOB partnered with Qlik to create a dashboard that enables their colleagues to have access to the data at any time and to be able to glean valuable and actionable insights within minutes. They also worked with Qlik to customize the dashboard for UOB’s needs. Given that the dashboard would be used not only by data scientists but also new users, it was important to ensure the solution was instinctive and easy to navigate without compromising on capabilities. UOB also created an enterprise-wide training program that went beyond data analytics into topics such as data literacy and data governance. The bank used historical data sets from their businesses to reflect the types of data they would handle in their day-to-day work. Qlik also provided online courses to guide UOB employees through the dashboard’s advanced features and on how they can optimize the service to glean deeper insights behind the data.
Operational Impact
Quantitative Benefit
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