UniCredit Bank, one of Europe’s largest commercial banks, stated that it leveraged SAS’s (News - Alert) powerful and scalable technology to improve and strengthen its data warehouse.
The bank quickened and shortened the time involved in generating reports for the finance department, customer relationship management and anti-money laundering initiatives by implementing SAS data management solutions.
Diego Rampoldi, head of ICT at UniCredit Bank commented, “Thanks to more efficient and faster business processes, we expect quick return on our investment. Building such an infrastructure requires time and highly trained skills, but we are already reaping the rewards with a rapidly growing data warehouse user base.”
SAS states that it provides an integrated environment of solutions, tools, methodologies and workflows that enable organizations to manage big data as a valued asset, driving both core operational processes and strategic decision making. With these data management capabilities, organizations can make full use of all incoming data to uncover hidden insights and increase competitive edge.
UniCredit Bank is said to be using SAS Banking Analytics Architecture that lowers the total cost of ownership by providing a single, unified environment for integrating, sharing, centrally managing and using data. The architecture’s data management capabilities supposedly gives one the confidence needed in their data’s integrity by letting them consolidate data from multiple legacy systems into a single version of the truth and automatically validating data as part of the data integration process.
The solution helped UniCredit Bank balance its needs with project constraints, such as time frames, budgets and legacy system limitations.
Some of the notable benefits of the SAS Banking Analytics are: deliver information that’s consistent, accurate, verifiable and up-to-date; gain a complete, integrated view of all enterprise data; always have access to the data whenever and however; provide clear, structured information to all who need it; remove overlapping, redundant tools and systems with one solution; and more.
Edited by
Alisen Downey