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Best Practices for Adopting a Data Workbench

CONFERENCE PRESENTATION · SCDM 2021 Global Conference
Best Practices for Adopting a Data Workbench
  • Session Type: Storytelling
  • Session Level: Intermediate
Overview
With the number of data sources in clinical trials increasing, more companies have begun adopting data workbench technologies. Experience shows that companies that simply replicate reports from their previous tools fail to benefit from the advances that a data workbench offers.

Traditional tools often involve complicated scenarios, filtering conditions, and selection criteria, to generate a report. Workbenches can simplify work for data managers with purpose-built reporting for different cleaning scenarios and integrated query management. Workbenches may also support data transformations, equipping data managers in addition to clinical programmers to ready data for Stats.

This session presents use cases and insights from companies that recently adopted a new data workbench and will help other sponsors plan their adoption journey, establish common use cases for discrepancy management, and make the most of their new data workbench.
What You'll Learn
  • Leading internal discussions to unwind complex reports and create purpose-built reports.
  • Planning considerations for involving different stakeholder groups.
  • Common use cases and listings in a data workbench.
  • How to think about a data workbench differently from a data lake or reporting tools.

Meet the Presenters
Pavel Burmenko
Director, CDB Services
Veeva
Pavel is a leader and chronic tinkerer in clinical trial data standards, analysis, and reporting including hands-on programming, developing processes and trainings, collaborating with developers on applications, consulting on regulatory submissions and CDISC implementation, and leading global teams of up to 75 statistical programmers, biostatisticians, data standards managers, and trainers.
Cecilia Calcagno
LCDM
Merck & Co. Inc.
Cecilia is a Lead Clinical Data Manager for MSD ARGENTINA with 8 years of CDM experience. Currently she's based in Zürich where her primary responsibility is to perform CDM Training for their MSD Switzerland team. Her background includes 5 years as a study coordinator and IRB assistant roles. She joined MSD Argentina in Dec 2019 but previously worked for the company through a CRO, as a member of a team of dedicated DM staff working directly for MSD, she is extremely proud that she has also been selected as a speaker at the SCDM Annual Conference for the last 4 years.
Sunil Talathi
Sr Manager
Amgen
Sunil Talathi is an Inclusive Leader, Technologist and Innovator with an extensive experience in Data Science, Analytics, Clinical Systems Operations, Risk Based Monitoring (RBM) and Clinical data management. He is a problem-solver and is passionate about automations, innovations and building technological solutions. As a Senior Product Manager, he is responsible for building NextGen Analytical products and oversee Analytics for Global Development Operations for Amgen. He is on a mission to harness artificial intelligence capabilities to transition traditional data management to the "World of BoTs" . He strongly believes AI technologies, Automation systems, Digital technology and Analytics will be 4 pillars for Organization to be much more effective, innovative and nimble.
Earn CEUs
SCDM is authorized by IACET to offer 0.1 CEUs for this education program. Participants are eligible to receive CEUs upon successful completion of the digital assessment questionnaire linked to this session, within 30 days after the purchase of the conference session.

Price
SCDM members: $50
Non-members: $175

Not yet an SCDM member? Purchase this conference session and get a one-year membership with SCDM on us to enjoy all our educational programs and sessions at a discounted price.
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