Comprehensive Data Analysis For Pharma Brands

Comprehensive Data Analysis (CDA) For Pharma Brands

Live Interactive Workshop

Do you feel bulldozed when you see big data?

Then CDA (Comprehensive Data Analysis) is the right workshop for you!

Comprehensive Data Analysis is a process of inspecting, cleansing, and transforming data from four data points viz. Rx audit, shop audit, internal MIS and padocumer interviews (interviews with patients and doctors who are the Pharma’s consumers and customers) with the goal of discovering useful information for the brand which will support your decision-making.

Get Ready To Create Mega-Brands.

Reiterating the ‘Four Data Points'

1. Data from shop audit

History
Important Terms
Observation and Analysis, connecting the dots
Insights – Devising strategy and action plans
Brand Analysis

2. Data from internal MIS

Will provide an inclusive picture of your organization
Help in production planning and material control
Secondary vs. Primary sales gap can predict cash flow

3. Data from prescription audit

Sales correlation by speciality segments
Sales vs Rx split by zones for future growth /de-growth.
Speciality wise Rx split– confirms sales growth likely for short term/ long term
Speciality wise product positioning
Speciality wise product detailing order

4. Data from interviews with padocumers

Analysis of data collected through RCPA & Doctor interviews

Do not overlook any of these; all are equally important.

Learn comprehensive data analysis (CDA), which is a very important industry skill through hands-on training with people who are passionate about this aspect of brand management. Work on cutting-edge tools they will provide.