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D Cube Analytics Commercial Insights Cloud
John Doe was gearing up for the commercial launch of their first drug for non-small- cell lung cancer market.
John was looking to set up the analytics practice to guide the launch activities. He had previously been part of large biopharma organizations and has led multiple launches within that organization.
He had previously set up large-scale data warehouses automatically churning data into various reports
ML MODELS to help marketing and sales teams better target and engage with prescribers.
He would like to set up a similar analytics environment that can guide the launch war room.
However, the expected FDA approval date was still 12 months away and with that uncertainty one would have to put in place manual processes which are not scalable to power essential analysis.
INTRODUCING COMMERCIAL INSIGHTS CLOUD
John approached D Cube Analytics to help with these ad-hoc analytics projects.
D Cube Analytics suggested John to try the COMMERCIAL INSIGHTS CLOUD.
THE NEXT STEP
D Cube Analytics’ project adviser connected with John and his colleagues to understand the priorities.
As they were setting up their commercial strategy, John’s team was looking for a way to understand the competitive landscape of the non-small-cell lung cancer market and also better understand the behavior of HCPs as soon as possible.
Within a week, the D Cube Analytics team onboarded the claims, CRM and formulary data that the client had and created a data lake connecting all the data so that it can be used for analysis.
The entire process of onboarding once approved was quickly automated.
Using the data management modules, John’s team could easily adjust the schedule of the various data engineering processes as well as easily monitor the data for quality issues
THE INSIGHTS PLATFORM
As per the requirements of the launch team, they had subscribed to the “DDS Market profiler” and “DDS Customer 360 “dashboard.
As soon as the data was onboarded, the marketing team could directly look at the same and make strategic decisions.
John’s team now also had access to the data in a format that they could use for any ad-hoc analysis needed to power the launch war room using the SQL Workbench.
REAL WORLD IMPACT
As the launch date got closer, the patient services team was looking to map patient journey to understand switching behavior.
John’s team just subscribed to the patient flow suite.
Within a couple weeks, the patient services team was able to base decisions on real world data.
As the market profiler dashboards were no longer being utilized, the team was able to stop subscription to the same.