Financial Services

Platon has worked with many regional as well as global financial institutions to meet the new challenges generated by the global credit crunch of recent years. From regulatory compliance to optimization of internal processes, we’ve helped financial organizations use data to reduce risk and increase efficiency and profits.

Quality information to meet the requirements of the new agenda
In order to maintain high quality data over time, appropriate ownership of information must be designated. Furthermore, in order to meet the new conditions of the finance industry, the information must be available in the context and quality needed by the various owners and stakeholders at any given time.

A few examples of our solutions and strategies for finance organizations:

A large Asia Pac bank
Task: Advice and planning around customer transparency
Goal: Increased revenue and profits

A global UK-based retail bank
Task: Development and implementation of an analytical application
Goal: Improved ability to monitor risk

A large Nordic bank
Task: Analysis and plan for implementation of MFI3 reporting to Central Bank authorities
Goal: Efficient compliance

A large Danish mortgage company
Task: Definition and implementation of Information architecture in connection with a new banking platform
Goal: Efficient implementation resulting in a solution that meets ROI expectations

A large Swedish bank
Task: Strategy, Management and implementation of a large enterprise Master Data Management initiative
Goal: Meet regulatory compliance requirements and optimization as well as alignment of business processes across business divisions

Learn more

To learn more about how Platon helps finance organizations, read the case stories or contact us to talk to a reference client.

Swedbank

"The business case showed that Swedbank could reduce its costs millions of Euros per year, if the bank raised the over-all data quality and if data were in control."

- Alvar Pihlapuu, Head of Information Resource Management, Group IT, Swedbank Group

BRFkredit

"Our source data is derived from many DB2 databases, which makes data acquisition both time-consuming and flawed. Today, most data at BRFkredit is found in one place and structured according to our core business areas."

Tim Thranegaard,
BRFkredit