Productizing Analytics Through Business Rules Standardization

Vishnu Prashanth

Principal Consultant, Data Analytics

Alankar Khare

Senior Business Analyst

Client: BioPharma
Year: 2018

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:

  1. Quicker turnaround of the analytics requests enabled by productized analytics delivery approach
  2. Faster consumption of analytical outputs driven by increased transparency of underlying business rules
  3. 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


D Cube Analytics is an Integrated Data Sciences company focused on extracting transformational insights from syndicated, real world and digital data to increase revenue realization, avert revenue loss, enhance internal productivity and improve end user experience for global Pharmaceutical organizations.

D Cube is pioneering a Digital Transformation wave within BioPharma by leveraging new age tools and methodologies like Artificial Intelligence, Machine Learning and Robotic Process Automation to greatly improve the productivity of workforce and significantly enhancing speed to insight. Through this new age product-based approach to delivering analytics, we greatly reduce the cost and complexity of deployments and provide measurable value across multiple business functions.

Find out how D Cube can help you to elevate your market access intelligence and develop rigorous strategies that enable success in the market, throughout the product life cycle.


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