ALL a b c d e f g h i j k l m n o p q r s t u v w x y z #

Webinars starting with L

Leveraging AI/ML Based Stewardship to Enable Robust Customer Master Data

Leveraging AI/ML Based Stewardship to Enable Robust Customer Master Data
Tuesday, 09 November 2021

To make any successful marketing and customer engagement efforts, the first step is to have a well stitched Customer Master data with rich and accurate attributions. The conventional MDM Systems though have certain Fuzzy match capabilities , they still need significant Human Data Stewardship to audit merges and publish the master data. The Human interventions required to enable strong data stewardship introduces a lot of variability due to skill levels and increases costs significantly to scale up. The Data stewards leverage several resources typically unavailable to MDM systems such as Google searches, external websites, and looping through corrected Names, Addresses etc. which makes the data stewardship process difficult to reproduce within the conventional MDM assets.

In this Webinar, we will be discussing about a drastically different approach to Data Stewardship where an Assistant application complements the MDM app and leverages several technology advancements as well as AI/ML to accurately replicate or optimize the Human based stewardship process.

Sammed is a Technical Product Manager at D Cube Analytics, has 15+ years of Industry experience in Data and Analytics, Data governance and syndication. Sammed has managed various initiatives in the areas of building Pharma MDM platforms, Data Warehouse, and advanced personalization.

Pradeep is a Principal Consultant Data Scientist at D Cube's India office. He brings close to 12+ years of pure play analytics and data science experience across various industries like Pharma, Hospitality, Telecom and Retail. He has expertise in laying out complete analytical roadmap for the business. He has extensive knowledge of developing machine learning solutions to help support client in their decision making and process automation.


  • Sammed Kumar, Technical Product Manager at D Cube Analytics
  • Pradeep Kumar, Principal Consultant Data Scientist at D Cube Analytics' India office

Leveraging AI-Powered Analytics for Pharma Brand Performance

Leveraging AI-Powered Analytics for Pharma Brand Performance
Tuesday, 09 November 2021

Pharmaceutical companies have volumes of market data coming from numerous third-party providers, as well as internal sales force data. Instead of being overwhelmed by the torrent of data, teams are now able to leverage AI-powered analytics to receive real-time insights to solve all the complex questions about their brand’s performance. Teams in areas such as sales force effectiveness, market access, and payer analytics are utilizing Tellius Smart Analytics Frameworks to quickly build consolidated views of data, speed data analysis with AI-driven automation, and simplify access to insights with search-driven intelligence.

Together, we will dive deeper into the analytics journey: data manipulation, ad hoc exploration, and uncover actionable insights to help increase your brand's market share. By the end of this webinar, you will be able to leverage AI-powered analytics to answer the most complex business questions, as well as implement best practices on receiving buy-in from upper management.

Leverage Real World Data for Building Robust Inputs for a Successful Forecasting Model

Leverage Real World Data for Building Robust Inputs for a Successful Forecasting Model
Wednesday, 29 July 2020

To make any successful forecasting model, the first step is to identify the key supporting metrics required to build an accurate forecast model. The conventional data sources (e.g. chart audit, survey data) present only a small part of the very big picture, where a lot of indirect factors affect the share of the drug, thus limiting the insights and scope of the analysis. Real-world data can be the supplementary evidence, if not the substitute for conventional data sources, in increasing the confidence of forecasting inputs.

In this webinar, we will be discussing how to efficiently merge information from both real-world data and secondary research data and build robust KPIs which can support development of an efficient forecasting model.


  • Vishnu Prashanth, Principal Consultant, D Cube Analytics
  • Ajitha Surendran, Consultant, D Cube Analytics

Launch Archetypes: The Bedrock of Successful Launch Strategies

Launch Archetypes: The Bedrock of Successful Launch Strategies
Wednesday, 07 November 2018

Nearly half of all launches fail to meet first-year financial expectations. From the moment commercial planning begins, new product launches face a gauntlet of challenges. By applying a scoring model to new product launches, four archetypal launch profiles have been identified. Each Launch Archetype is defined by the product’s ability to fulfill a currently unmet need in the market and level of differentiation.

Understanding which Archetype defines a product’s launch can increase its chance of succeeding. Each Archetype comes with its own set of considerations, marketing implications, and associated launch challenges. Thus, a product’s Archetype should factor into key aspects of the launch plan including the product’s positioning, critical success factors (CSFs), key performance indicators, and the promotional budget.

Key Takeaways:

  • An understanding of Launch Archetypes and their market profiles
    • Science Sells
    • Market Shaping
    • Emphasize the Difference
    • Who Benefits
  • Strategic trends among Market Shaping launches
    • Market factors influencing the trends
    • Brand team responses to trends
  • How to use Archetypes when developing a launch plan
    • Identifying strategic themes
    • Enhancing product positioning
    • Developing Critical Success Factors
    • Determining promotional investment


  • Darin DeCarlo, Senior Principal & Segment Lead, Commercial Services, US - IQVIA
  • Bill McClellan, CoE Leader, Launch Excellence, Commercial Services, US – IQVIA