CAMPBELL, Calif.--(BUSINESS WIRE)--Saama Technologies, Inc., a leading big data and advanced analytics solutions company, today announced revolutionary new data management and orchestration technology that delivers a comprehensive cloud based Clinical Data Management as a Service (CDaaS) platform based on industry standards.
Studies show that the use of data standards and process improvements could save the industry: $5.8 to $6.6 billion annually1. “Saama is addressing these challenges head on by bringing to market innovative approaches to solve the data deluge facing the pharmaceutical industry,” said Sagar Anisingaraju, Chief Strategy Officer at Saama. “Grounded in broad experience implementing high-value analytics implementations for two of the three largest pharmaceutical companies, Saama has created pre-built data frameworks, templates and analytical assets to reduce time-to-value and improve ROI for the most common use cases during the drug development phases.”
Delivering Clinical Data Management as a Service
Building on its previously announced Fluid Analytics for Life Sciences orchestration stack, Saama has built a comprehensive ecosystem that automates the whole process of ingesting a wide variety of structured, unstructured, Real World Data (RWD), clinical trial and operational data. Saama is able to construct a holistic and multi-faceted view of a given patient that is useful in identifying cohorts for clinical trials and tracking their use and interaction with the treatments they receive. These advancements are crucial for the development of an enterprise Operational Data Repository (ODR) or Patient Data Repository (PDR). Saama’s Data Management Solution truly delivers on the concept of having Clinical Data Management as a Service and is part of an entire suite of cognitive analytics that Saama is building for the life sciences industry.
“Saama has put the sweat equity into creating a data orchestration and governance environment driven by data standards which normalizes, de-identifies and automates the ingestion and processing of many disparate pieces of data so that it can be used in innovative ways to benefit the life sciences industry,” said Karim Damji, SVP of Product and Marketing at Saama Technologies. “We achieve this by centralizing and contextualizing data in flight so we can apply data quality and business rules (KPIs and KRIs), standardize into a layered common data model and get it analytic ready, all in one go. This is irrespective of operational or patient level data for clinical trials.”
Saama Deepens Its Commitment to the Life Sciences Industry
Saama also welcomed Rebecca Daniels Kush, Ph.D., founder and former CEO of CDISC, to their Board of Advisors. The addition of Dr. Kush reinforces Saama’s commitment to incorporating the latest data standards in implementing their industry leading Clinical Data Repository (CDR.)
“Our objective is to minimize the burden on IT and clinical data management teams to manage infrastructure, data silos and the environment,” added Damji. “At the core of CDaaS – we manage data in various forms, as well as provide standardize layers, an intelligent self-learning metadata repository and advanced analytics tools to achieve targeted outcomes.”
Saama’s solutions for life sciences are currently deployed at leading pharmaceutical companies helping them revolutionize the way they process and manage their vast data stores and consume business outcomes through simple and integrated user-experience.
Saama Technologies is the advanced data and analytics company delivering actionable business insights for life sciences, and the Global 2000. We are singularly focused on driving fast, flexible, impactful business outcomes for our clients through data & analytics. Our unique “hybrid” approach integrates focused solutions and expertise across the life sciences domain, business consulting, data science, automated data management and big data technologies. We blend manual and disconnected initiatives into a well-aligned roadmap facilitating the client’s journey from strategy through solution implementation.