Client identification and unification in Raiffeisenbank group
Post-acquisition customer unification in Raiffeisenbank.
Customer Quote
"After the acquisition of eBanka by the Raiffeisenbank Group it was necessary to reliably identify a unified client. We searchePd for a solution that could be easily integrated into internal bank processes and enabled to find out the necessary information about a client. We chose Ataccama DQC, a system for data cleansing and consolidation because it reached the best results in testing on a data sample. The testing of a sample of 100 000 clients and addresses was part of the selection procedure. With client data consolidation and unification we gained a single client view and we are able to know who is our client, what products he has and what we can offer to him“
Ing. Luboš Mrázek, MBA, head of BI division, eBanka/Raiffeisenbank
Customer Profile
Raiffeisenbank a.s. operates in the Czech Republic since 1993 and offers wide range of financial services to both private and corporate clients. eBanka was established in 1998 and since the beginning offers high-quality services using direct banking. Both banks started a merger in 2006. Since the beginning of this year the clients can use more than 100 branches and client centers of both banks to acquire specific products.
Business Benefits
The implemented solution was based on Ataccama DQC and covered client data consolidation. With the help of DQC client data was cleansed, checked against referential tables and grouped into groups representing a single client. The consolidated client information is used especially for common risk management and business strategy.
Other solution benefits:
- Campaign management and targeting
- Consolidated data is a base for marketing studies aimed at geographical a demographical market segmentation
- A client that has duplicate records in the primary systems will obtain marketing materials and account statements only once
- Client deduplication and address standardization enables to join the materials sent via post into one consignment
- The precise address identification (over 88% of addresses were identified) can significantly decrease the amount of returned mail
- The client won’t receive product offers for already purchased products due to the client data consolidation
- Branch network development – address point localization can be used to identification of right places to open new branches or ATMs
- Risk elimination – client creditworthiness and payment history will be monitored across both banks.
- Householding – standardized and validated personal and address data is a presumption for future household identification, which can be solved by DQC as well
- Better data quality
- Client data consolidation discovered problems in data quality and consistency that were not known before
- Analysis of low quality data marked by DQC enables to improve and standardize the methodology for client data acquisition and management in order to prevent bad data to enter the systems
- Datawarehouse development – unified client data is key for building a datawarehouse and is essential for unified client view across the bank
Solution
The pilot solution for client consolidation was implemented within two weeks. During the implementation the particular data attributes were analyzed and the results of this profiling (performed over the whole data set) were presented in data quality document. The installed solution was configured and fine-tuned according to the structure and quality of the processed data and local conditions. Other part of the solution was focused on consolidated data analysis and based on the findings the unification rules were slightly extended.
See What's New
