ING-DiBa, Germany’s largest direct bank, has upgraded its central data
analysis platform with SAS®
Analytics. With more than 7 million customers, ING-DiBa turned to
the leader in business
analytics software and services to address increasing analytics
demand. The SAS platform supports ING-DiBa’s current-day management
reporting, plus reports and ad-hoc analysis for marketing and sales,
compliance, customer interactions, service center and more.
ING-DiBa’s new SAS infrastructure performs more detailed analysis in
less time and with greater efficiency. Quickly pulling customer,
account, application and process data into a warehouse, SAS enables
management and technical departments to make decisions using previously
undetected relationships and connections.
The bank wanted increased analytical depth and speed in a solution that
would be easy enough for business users. To achieve these goals, it
upgraded to SAS 9.2 and added SAS
Enterprise BI Server, SAS
Enterprise Guide® and SAS
Enterprise Miner™. The smooth conversion was expedited by SAS
Alliance member Decadis.
“SAS is the analytical heart of ING-DiBa,” said Gisela Hehn, MIS/Data
Warehouse Division Manager. “With our expanded SAS solution, we have
doubled the process speed, while achieving greater analytical depth,
both of which are of great strategic importance to us.”
By expanding its SAS environment, ING-DiBa can perform tasks more
quickly, accurately and easily. Ensuring the smooth flow of analytical
processes has been critical, since Hehns’ division runs 600 programs or
analyses simultaneously, many feeding daily reports.
ING-DiBa’s Product and Target Group Management department acts as a hub
for data analysis. Its MIS/Data Warehouse division draws conclusions
which are used by departments throughout the organization. The group
provides daily management reporting for more than 300 individuals, as
well as regular reports, ad hoc analyses and data for several
departments.
“We need the best possible analytics for these complex processes. For
us, that solution is clearly SAS,” said Hehn. “Before, our daily data
runs took four hours. Now, it takes only half the time – and it’s done
in a single run, which reduces the complexity considerably.”
Among the bank’s main analytics projects is selecting customers and
potential customers to receive marketing campaign offer mailings.
“ING-DiBa sends out more than 40 million mailings a year,” said Eike
Bärmann, Division Manager of Target Group Selection at ING-DiBa. “It is
extremely important to select the right customers for a specific offer.”
Today, Hehn and her colleagues can perform customer data analyses and
target customer for mailings faster and more precisely than ever.
Customer responses flow back into the system, creating an efficient
learning cycle for marketing.
“By delivering data we can use to realize the best possible response
rate, SAS helps us achieve maximum customer feedback with minimal
resources,” said Bärmann.
ABOUT ING-DiBa
With its more than seven million customers,
ING-DiBa is Germany’s largest direct bank. Its key business areas are
savings, funds/brokerage, mortgages, consumer loans and current
accounts. The bank does without an expensive branch network, instead
offering simple products and favorable terms on a 24/7 basis. ING-DiBa
was nominated Germany’s “Most Preferred Bank 2011” by the business
magazine Euro, and Börse Online readers voted ING-DiBa “Online
Broker of the Year 2011.”
ABOUT SAS
SAS is the leader in business
analytics software and services, and the largest independent vendor
in the business intelligence market. Through innovative solutions, SAS
helps customers at more than 60,000 sites improve performance and
deliver value by making better decisions faster. Since 1976 SAS has been
giving customers around the world THE POWER TO KNOW®. SAS
and all other SAS Institute Inc. product or service names are registered
trademarks or trademarks of SAS Institute Inc. in the USA and other
countries. ® indicates USA registration. Other brand and product names
are trademarks of their respective companies. Copyright © 2012 SAS
Institute Inc. All rights reserved.
