Enables Life Sciences Industry to Turn Massive Volumes of Data into Actionable Insights for Faster, Safer and More Effective Clinical Operations, Real World Evidence Analysis and Drug Development
CAMPBELL, Calif. – May 26, 2016 – Saama Technologies, Inc., a leading Big Data solutions company, today announced the Fluid Analytics™ for Life Sciences industry-specific orchestration stack, bringing its proven services methodology and technology for rapidly orchestrating and analyzing large volumes of data to the life sciences industry. Saama’s Fluid Analytics hybrid solution approach blends technology acceleration with human expertise and industry-specific data assets, enabling better business outcomes with speed and specificity. Now global pharmaceutical companies can make better clinical decisions before and after a product is introduced to the market, ultimately bringing safer, more effective products to patients in less time.
“Analytics projects often fail due to lack of context-aware insights and delayed outcomes,” said Sagar Anisingaraju, Chief Strategy Officer at Saama. “Building out the required flexible, real-time architectures requires connecting data, technologies, humans and business ecosystems to continuously learn with each other. Saama is providing a highly successful orchestration stack to analytics, and applying it to vertical areas such as life sciences to speed specific business outcomes.”
What an Industry-Specific Orchestration Stack Looks Like
Grounded in broad experience implementing high-value analytics projects for two of the world’s three largest pharmaceutical companies and other leaders including Actelion and Otsuka, Saama created pre-built data frameworks and assets that reduce time-to-value and significantly improve ROI for the most common use cases during the clinical development phase and after drugs enter the market. The new Fluid Analytics for Life Sciences orchestration stack and services enable pharmaceutical companies to analyze and orchestrate data and create insights at previously impossible speeds. Three main benefits are:
- Enterprise-wide data model: Consolidates payer, patient, clinical, internal and new external data into detailed, aggregated and derived information across multiple lines of business. Facilitates unified conformance and data governance for key business stakeholders.
- Advanced analytical data components: Facilitates Business Intelligence strategy that enables customers to quickly measure success and improve their performance with highly rated performance metrics for specific lines of therapies and therapeutic areas.
- Predefined data mapping: Templates interface with source systems to mitigate development efforts and accelerate implementation of a robust data warehouse and subject area aggregation.
Fluid Analytics for Life Sciences in Practice
Leveraging Saama’s capabilities for an ‘always on’ Real World Evidence (RWE) analytics solution proved to be indispensable for a large global pharmaceutical company that had struggled to query real world patient data. The solution now powers rapid Treatment Pathway analysis with zero cycle time. Fluid Analytics for Life Sciences enabled the company to see consolidated treatment information within minutes, and presented the data in a highly visual, user-friendly interface so anyone in the organization could make sense of the data. With Saama’s orchestration technology, human expertise and pre-built templates, the company was able to derive value from the solution in less than three months.
“By enabling drug developers to rapidly capitalize on their data to accelerate commercialization and market adoption of their products, working with Saama unlocks the potential and nuances that help identify the data to differentiate drugs to payers and health care providers,” commented James Karis, Mapi’s CEO and Advisor to Saama.
“Generating insights on how treatments work in the real world is a massively complex Big Data task for RWE teams,” added Anisingaraju. “With Fluid Analytics for Life Sciences, Saama customers can rapidly build out their advanced analytics capacity to identify hidden trends and real world adoption patterns, enabling leaders to act fast, reduce costs and focus on increasing revenue.”
How Fluid Analytics for Life Sciences Measures Up
Published findings from a March 2016 commissioned Total Economic Impact™ study of Saama Fluid Analytics, conducted by Forrester Consulting on behalf of Saamaquantified the value of speed and specificity in big data analytics implementations, with initial payback in less than 6 months and more than 400% return on investment (ROI) on Fluid Analytics projects.
“Before [our engagement with Saama’s Fluid Analytics], we had lots of disparate data sources — people doing the analysis also had to gather the data …This new efficiency rolls up to thousands of hours per year; we have new capabilities that we did not have before. If we were doing this analysis today prior to the new data mart, the number of hours would be well into the thousands,” said an operations and governance manager with a US-based biotech company that participated in the study.
Headquartered in Silicon Valley, Saama is the leading Big Data solutions company delivering Analytics Advantage to Global 2000 clients. Our Fluid Analytics hybrid solutions maximize existing customer infrastructure, allowing us to focus on the white space between existing capabilities and the critical business questions that need to be answered. We are unique in our ability to combine our Fluid Analytics orchestration stack with our vertical expertise to drive the rapid adoption of advanced analytics into company-specific business processes in a matter of weeks. Saama has broad experience in projects including visualization, MDM, Hadoop, cloud and other advanced analytics solutions, in industries such as life sciences, healthcare, insurance, financial services, CPG, high-tech and media. Clients include Actelion, Bill and Melinda Gates Foundation, Brocade, Broadcom, Cisco, CSAA Insurance Group, Dignity Health, GoPro, Motorists Insurance Group, Otsuka, PayPal and Unilever.
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