Knowledgent and Tamr have announced a strategic partnership to deliver scalable big data unification and analytics solutions to client organizations in life sciences, financial services, and other industries. As part of this partnership, the two companies will collaborate on big data analytics solutions that leverage Tamr’s scalable platform for data curation and unification, including its new Tamr for CDISC solution, announced today at Strata + Hadoop World in San Jose, Calif.
Knowledgent enables organizations to gain critical business insights from their information by combining data and analytics with industry domain expertise. Knowledgent has observed that clients struggle with the ability to connect and curate structured and unstructured data across a wide range of sources and silos, resulting in costs and delays as often manual solutions are implemented.
Tamr overcomes the traditional problems of manual data curation. It allows for continuous, cost-effective, and timely cataloging, connection and curation of data from a large number of internal or external sources with a lot of data variety. Tamr’s machine learning algorithms, guided by humans, enable organizations to maximize the effectiveness and productivity of their data assets, such as clinical trial data and financial data sets.
“Knowledgent’s data and analytics practice has been enabling clients to gain significant business insights by leveraging structured and unstructured data, internal and external to an organization,” said Tom Johnstone, managing partner for Life Sciences, Knowledgent. “Tamr’s platform and industry-focused solutions, such as its solution for scalable, automated CDISC data conversion, are the perfect accelerators for life sciences business and IT stakeholders who are trying to harness the power of machine learning for data curation.”
“Knowledgent is a natural partner for us,” said Andy Palmer, co-founder and CEO of Tamr. Inc. “For example, we can provide life sciences customers with a scalable, replicable way to convert siloed data to the CDISC data standard to meet data-interchange requirements for IND/NDA programs. This is a process that’s been ridiculously expensive, time-consuming and hard to automate in the past. We’re looking forward to working with Knowledgent to break down these and other business barriers for our mutual customers.”
Tamr and Knowledgent plan to deliver solutions for other use cases in life sciences and financial services that require siloed data to be converted to a standard format. An example in financial services is the BCBS 239 principles for effective risk data aggregation and risk reporting in financial services.
This article was originally posted “Knowledgent And Tamr Announce Strategic Partnership To Deliver Big Data Solutions” from Cloud Strategy Magazine.