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12 August, 2025
The business challenge
The large bank faced significant challenges due to the presence of multiple legacy data platforms and their inability to scale effectively. These outdated systems were not only costly to maintain but also lacked the flexibility and capacity to handle the growing volume of data and the increasing complexity of analytical requirements. The fragmentation of data across various platforms led to inefficiencies, data silos, and difficulties in accessing and integrating information.
This hindered the bank's ability to perform advanced analytics, make informed decisions, and respond swiftly to market changes. The inability to scale these legacy systems also posed risks to the bank's operational efficiency and competitiveness. To address these challenges, the bank needed to consolidate their data warehouse, integrate disparate data sources, and implement a scalable and modern data infrastructure that could support future growth and innovation.
The solution
To address the challenges faced by the large financial institution, they were able to consolidate over 250 analytical databases onto a single, unified platform. This consolidation effort significantly reduced their security risks by centralising data management and minimising the number of access points. By moving to a single platform, the institution also decreased their dependency on specialised skills required to manage multiple legacy systems, thereby streamlining their operations and reducing costs.
The consolidation process involved integrating data from various sources into a cohesive and efficient data management system. This integration not only reduced data movement but also improved data accuracy and consistency across the organisation. The new platform provided world-class data management capabilities, enabling the institution to perform advanced analytics, generate comprehensive reports, and gain valuable insights into their operations.
The business outcomes
By implementing world-class data management capabilities at scale, the large financial institution achieved several significant business outcomes. The modernised data infrastructure allowed the institution to handle vast amounts of data efficiently, ensuring that they could scale their operations seamlessly as their data needs grew. This scalability provided the flexibility to adapt to evolving business requirements and integrate new technologies without disruption.
Additionally, the consolidation of over 250 analytical databases onto a single platform significantly reduced the institution's risk profile. Centralising data management minimised the number of access points, thereby enhancing data security and reducing the likelihood of data breaches. The streamlined data processes also improved data accuracy and consistency, ensuring that the institution could rely on high-quality data for decision-making.
Overall, the implementation of this solution not only modernised the institution's data estate but also empowered them to operate more efficiently, securely, and with greater agility. These improvements ultimately contributed to better decision-making, optimised business processes, and a stronger competitive position in the financial sector.