Company Overview of Saama Technologies, Inc.
Saama Technologies, Inc. provides data management solutions. It offers universe management tool that provides documentation for the purpose of auditing and compliance; Harvester that simplifies, automates, and accelerates the process of data integration; NIEM Harmonizer, an out-of-the-box solution for government agencies to share public safety data with local, state, and federal units; and CIO Analytics, a solution for collaboration between LOBs and CIOs. The company serves Fortune 500 corporations in healthcare, life sciences, technology, and media industries, as well as public sector agencies. Saama Technologies, Inc. was founded in 1997 and is based in Campbell, California. It has additio...
900 East Hamilton Avenue
Campbell, CA 95008
Founded in 1997
Key Executives for Saama Technologies, Inc.
Chief Operating Officer and Executive Vice President
Chief Executive Officer of Sypherlink
Compensation as of Fiscal Year 2014.
Saama Technologies, Inc. Key Developments
Saama Technologies, Inc. Launches Enterprise Data Solution
May 13 14
Saama Technologies, Inc. announced the Saama Enterprise Data Warehouse PowerUp (EDW PowerUp), aimed at enterprise IT organizations that struggle with the ongoing cost and upkeep of Business Intelligence and ETL/Data investments and want the benefits of Hadoop and other NoSQL databases for Big Data processing. Saama's solution drives increased efficiencies and higher ROI by providing a robust and scalable framework for data practitioners to take full advantage of existing pure relational data warehouse environments and transition to a hybrid relational EDW and Hadoop or other NoSQL environment. Saama EDW PowerUp helps IT organizations struggling with: Confronting expensive upgrade cycles using traditional relational databases or database appliances; Getting data governance control over disparate data projects; Creating value from Hadoop investments to handle new big data initiatives; Harvesting enterprise-wide data for data mining and predictive analytics projects. The Saama solution directly addresses these challenges by working hand-in-hand with clients to enable a seamless transition from a traditional data environment (typically relational data only) to a hybrid relational and NoSQL environment. This empowers business analysts and application developers to embrace compelling data-driven applications, while reducing the overall total cost of ownership (TCO) and improving overall enterprise data capacity and performance. Saama EDW PowerUp is built on Saama Analytics Framework to provide a truly compelling offering across different phases of an enterprise data project lifecycle, including: Discovery: Analysis of current BI/analytics/EDW environment with a detailed view of data usage, date types, data volume and workloads; Identifying latent or dormant data in legacy environments with high potential for migration into Hadoop environments, based on workload and use case dependencies. Scoping and Migration: Effective IP-based tools for faster data migration and accelerated time-to-market; Rightsizing and architecture development of a hybrid Hadoop + EDW environment; Compliance with enterprise data governance processes and policies. Implementation and deployment; Business use case enablement through big data analytics and visualization; Flexible private/public or on-premises deployment for accelerated time-to-value.
Saama Technologies, Inc. Announces Saama Patient Engagement Solution
Feb 20 14
Saama Technologies, Inc. announced the Saama Patient Engagement Solution aimed at healthcare providers to improve patient engagement and deliver higher quality patient care. Saama's end-to-end solution improves patient care experiences and enables optimal patient engagement strategies for better Hospital Consumer Assessment of Healthcare Providers & Systems (HCAHPS) scores that can directly lead to higher financial reimbursements. The Saama Patient Engagement Solution helps healthcare provider organizations with the challenges of the pay for performance government model that reimburses or penalizes providers based on HCAHPS patient satisfaction and care outcome scores. The solution directly addresses this need by merging comprehensive big data sets, including: social media, internal surveys, EMR/HER notes and CMS/HCAHPS and then applying Saama Analytics Framework with advanced data science to provide a 360-degree view of patient engagement. The intuitive user interface and powerful data platform provide a visual analytical framework driving the development of key insights through the deployment of best-of-breed technologies that leverage users existing business intelligence architecture. The full power of the solution is in its ability to identify how specific topical areas contribute to patient engagement and satisfaction. In addition, it enables the use of predictive analytics techniques to model the impact on the total scores based on improvements in specific topical areas. The solution not only provides a detailed view by provider facility, but also enables competitive benchmarking of neighboring facilities.
Saama Analytics Framework Accelerates Data Driven Solutions
Feb 13 14
Saama Technologies, Inc. announced its Saama Analytics Framework, vividSENSE(TM), a unique backbone of core technologies upon which industry or function specific Big Data and Analytics solutions can be rapidly built. Due to its repeatable nature, nearly 70% of most solution components are already within the Framework backbone, resulting in greater energy placed towards an organization's specific customized solution requirements. Solutions implemented using the Framework include, but are not limited to: churn analytics, patient engagement analytics, fraud analytics, service analytics, clinical operations analytics, and customer buying pattern analytics. Moving well beyond traditional business intelligence, the Framework, along with Saama's data science approach, can help organizations see their business, customers, and competition in new ways. The Framework's advanced data science allows for the discovery of hidden high value data patterns contained within a deluge of information previously inaccessible or unlinked. Features of the Framework include: platform agnostic architecture that provides maximum flexibility to use best of breed technologies at each layer; purpose-built, reusable components that fit or leverage existing data infrastructures and business intelligence investments; customizable services for specific needs to ensure a ready solution in weeks; delivery via the cloud or on premises.
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