Harmonize your marketing channel data with provider characteristics and sales transactions for both traditional and digital engagements.
Easily extract precise analytics on channel affinity and channel performance at different level of granularity, and understand past performance.
Thanks to the extensive wiki and adaptive data flow structure, quickly adjust the approach to specific questions and business processes.
Upload your HCP, brand, transaction, and marketing channel data, then customize the features for building sales deviation and brand adoption models.
Enhance flexibility and train the machine learning models to understand channel engagement and drivers that influence sales deviations and brand activation.
Quickly reproduce the same analysis for multiple brands/drugs/sale regions with an adaptive flow and dashboards.
Understand how HCP characteristics and channel effectiveness in marketing campaigns drive sales with a multi-class predictive model and analysis.
Correlate marketing outreach for HCPs to your pharmaceutical sales to better understand past marketing campaigns and design adjusted omnichannel marketing strategies for the future.
View detailed dashboards of sales overviews and marketing campaign activities to better inform your marketing campaigns. Check the output from models and explore data with pre-built charts, graphs, and tables designed to help quickly identify issues and develop an agile approach to marketing activities and sales.
The Dataiku Solution for Optimizing Omnichannel Marketing for Pharma helps answer a broad range of questions like:
Move from data to AI-rich insights to refine omnichannel tactics in less than 2 days*, and speed your journey towards Next Best Action delivery to all your sales teams, HCP segmentation, Gen AI powered HCP messaging, and more.
If you’re ready to engage on an accelerated journey towards real embedding of AI in your commercial activities, check out the omnichannel marketing solution for yourself today.
A composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:
reduction in time spent on data analysis, extraction, and preparation.
reduction in time spent on model lifecycle activities (training, deployment, and monitoring).
return on investment
net present value over three years.