For one of our banking client’s corporate and investment banking data division, Monocle was tasked with the design and development of a centralised data warehouse. This was done to improve the single view of customer capability across their asset management, short-term investments and structured finance divisions. This would allow various business and analytics users to access timely and complete data to understand the bank and its customers’ current financial obligations.
Monocle engaged with business to understand the business problem, customer and trade data requirements as well as the downstream reports and dashboards’ requirements. Due to the diverse and complex nature of the investments involved, the bank was reliant on numerous trading systems across its subsidiaries. Monocle had to investigate, understand and cater for the various data structures across these systems and design how the trade data could be linked to the bank’s client data through a centralised data model.
Ultimately, Monocle designed and created a dedicated data warehouse to be used by the bank’s technical users (data scientists) as well as a cube, along with the required reports for business users. This was then controlled through appropriate security access approvals. Overall, the project improved analysis and reporting efficiency as data could be sourced daily. The project delivered a view of each business at T+2 days whereas previously the data lag was 30 days.
