Customer Data Integration (CDI) In Life Sciences Companies

The key success factor of the CDI implementation is the focus on the requirements of the knowledge workers during the next pharmaceutical companies want to move more years many and more from primary care to specialty care. This trend of dacha the number of customers (hospitals, pharmacies, investigator, and so on) with multiple relations to functions and affiliates. Today the customer data management function is very often distributed. In the environments most each transactional application, customer data management by itself does including the interfacing to other applications. Re cooking thing the business move to specialty care to efficient customer data management is one of the key success factors. Customer data integration (CDI) is important step to get high quality on customer data. Doing customer data management by a CDI approach provides a significant higher customer data quality level and a more efficient data management processes. Implementing a centralized data function at each affiliate guided by global processes and a global system ensures the necessary local flexibility by getting the benefits of an integrated approach of CDI.

Key benefits of CDI system the key success factor of the CDI implementation is the focus on the requirements of the people (knowledge workers) working daily with customer data. A customer data integration system is able to gene Council improvements at customer data management processes business processes using customer data and elimination of hidden costs regarding bad data. The centralized customer data management allows a cost efficient use of data quality management tools (data cleaning, data standardization). Manual data integration processes can be automated. Multiple performance of same updates can be avoided. So the CDI approach eliminates data standardization activities during the data warehouse loads On efficient combining of CDI and data warehousing can close paint of functionality at the transaction systems and can provide the end user with on additional value regarding the enlarged functionality.

The integration of all customer data in the data warehouse by using the CDI functionality show a 360 view on all customer. Bad data gene Council enormous cost in every organization or make some activities impossible. Bad data trigger mainly hidden costs, which makes the cost management most difficult. The additional work generated by bad higher quality of data generated by CDI eliminates data and so reduces the hidden costs. Single, integrated strategy managed in of additional data source mark out leading practice in customer data management additional data sources augment traditional sales and scripts data (e.g. patient/longitudinal data messages delivered, etc.) Multiple data repositories merged into enterprise data warehouse to provide one source for storage and provision of sales and marketing customer data de-duplication processes augmented by appropriate use of local knowledge structured management of relationships between customers (e.g. professionals to group practices; Direct purchase customers to IMS outlets, to hospital of institutions) and use of these relationships promotional effectiveness analysis within single, integrated strategy for data procurement and delivery across departments Sugguestion of CDI approach customer data management, CDI and distributed to all transaction systems will be done once at. Data warehouse loads from transaction system can be done without additional data clarification activities. The CDI data load ensures data consistency. CDI solution manage changes by time stamps and enriches the data quality. New applications can be almost integrated into CDI workflows on a consistent level of customer data integration 65719 Court home Tobias Greissel, Germany