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  • Data Unification for Procurement Spend Optimization
    Data Unification for Procurement Spend Optimization
    Clare Bernard, Lora Cecere Recorded: May 20 2015 32 mins
    Procurement spend optimization is on top of every Procurement officer's mind. Yet, as companies continue to make large investments in supply chain information systems, they are not able to leverage all of their valuable - but often siloed - data. Join Lora Cecere of Supply Chain Insights, and Clare Bernard of Tamr, to learn about a new machine learning based approach to data unification, and how it is helping some of the world's largest organizations optimize their procurement spend, reduce supplier risk and improve cash flows.
  • Unify & Visualize Procurement Data With Tamr & Tableau
    Unify & Visualize Procurement Data With Tamr & Tableau
    Shobhit Chugh & Todd Talkington Recorded: Apr 16 2015 27 mins
    How can you find the highest-quality part at the best price from all suppliers? How do you optimize supplier payment terms across different business units and territories? This live 30-minute webinar will address these questions and demonstrate solutions for unifying and visualizing procurement data from Tamr and Tableau.
  • Webinar: Toward Automated, Scalable CDISC Conversion
    Webinar: Toward Automated, Scalable CDISC Conversion
    John Keilty, Timothy Danford Recorded: Jan 27 2015 25 mins
    For most pharmaceutical companies, submitting clinical study data to the FDA is an expensive and time-consuming process. A study sponsor must collect data from different sources, extract it from proprietary file formats, transform it to conform to CDISC standards, organize metadata describing these transformations, execute validation scripts to ensure data consistency, and convert it all into the file formats required by the FDA for submission.

    Unfortunately, the methods used to aggregate, clean, transform, and validate this data today are largely manual, relying on teams of contractors using proprietary software and spreadsheets of transformation and validation rules that are difficult to modify or extend. When the standards are updated, when the validation rules change, if a submission contains an error, or if a company wants to build a data warehouse for all their study data: the entire conversion must be restarted.

    The result? A process that is expensive to perform, slow to fix errors, and difficult to maintain.

    Join Timothy Danford, CDISC Solution Lead for Tamr, and John Smith, Officer at Widgets Inc, as they discuss common CDISC challenges, and how Tamr’s CDISC solution offers a scalable, replicable way to automatically convert, validate, and package clinical study data in standard file formats organized according to the latest CDISC standards.

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