Productizing Analytics Through Business Rules Standardization
The value and relevance of an analytical output is driven by the quality of the business rules being used for the analysis. More often than not, many Analytics COE organizations and Business groups come across counter-intuitive and conflicting insights across analyses. One of the top reasons for the same is the lack of robustness and standardization in the business rules being used. The issue is especially more prominent in therapeutic areas like Oncology, where the treatment patterns are relatively more complicated. For truly productizing the Analytical processes, organizations need to give special focus in handling the above variances possible in business rules.
Coming up with robust and relevant business rules requires not only the therapeutic area knowledge but also the understanding of the limitations of input data sources. With the experience of working on all major therapeutic areas and many popular syndicated data sources, D Cube has developed libraries of business rules suitable for analytical processes like Patient Cohorts creation, LoT and Regimen Assignment, Source of Business tracking, Adherence and Persistence calculation, etc. These business rule libraries are consumed by the users in the form of code process blocks in the analytical process flows.
The impact of the same is being felt by our customers in terms of:
- Quicker turnaround of the analytics requests enabled by productized analytics delivery approach
- Faster consumption of analytical outputs driven by increased transparency of underlying business rules
- Access to baseline rules that can be used as accelerators for developing customized business rules for any new indication being studied
Contact us to request a demo to find out how D Cube can help you to productize your analytical processes through business rules standardization