Nedbank: Simplifying Data Infrastructure with a Logical Data Warehouse
Technology Category
- Functional Applications - Warehouse Management Systems (WMS)
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Finance & Insurance
- Retail
Applicable Functions
- Product Research & Development
- Warehouse & Inventory Management
Use Cases
- Construction Management
- Picking, Sorting & Positioning
About The Customer
Nedbank Group is a leading financial services group in South Africa, offering a range of services including wholesale and retail banking, insurance, asset management, and wealth management. It is one of the four largest banks in the country, serving 7.5 million customers, of which 2.3 million are digitally active. The bank has been recognized for its innovative approach to banking, receiving five accolades at the International Banking awards, including Best Banking Platform and Most Innovative Digital Products Branch Design.
The Challenge
Nedbank Group, one of the four largest banks in South Africa, was facing a significant challenge with its data infrastructure. The bank, which serves 7.5 million customers, of which 2.3 million are digitally active, was loading six terabytes of data into its operational data store and data marts on a daily basis. This sheer volume of data was proving to be a challenge for the bank's IT infrastructure to process and manage. The complexities posed by traditional data models were also a hurdle for data consumers within the organization. The bank needed a solution that would simplify its data infrastructure, reduce data integration costs, and provide a single interface for accessing all types of data within the organization.
The Solution
To address these challenges, Nedbank implemented the Denodo Platform, which allowed the bank to create a single interface for accessing data. This solution eased the complexities posed by traditional data models and reduced data integration costs. Following this, Nedbank virtualized its entire legacy data warehouse, a target state data lake, and several data marts and business data stores. This effectively made the Nedbank Denodo implementation one of the largest, if not the largest, logical data warehouses on the planet. By combining the data sources through the logical data warehouse, Nedbank was able to achieve significant efficiencies and spearhead a series of new data-driven initiatives.
Operational Impact
Quantitative Benefit
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