Effective use of information is becoming the key to success in Life Sciences. Having a clear strategy and efficient analytical capabilities is critical. Decisions regarding how to leverage proven and emerging technologies will be impactful.

We possess broad and deep experience delivering data solutions, from strategy to operations. With a foundation in data management built from decades of experience, our focus on Life Sciences brings a unique set of knowledge and capabilities to our clients.

Information Management and Analytics Strategy

We help organizations define an overall strategy for Information Management and Analytics across the enterprise. This includes helping companies to define the Roadmap for their information management and analytics capabilities, with short-to-long term maturation.

  • This service also includes the identification and selection of cloud vendors and systems that align with your overall enterprise reference architecture.
  • Through these strategic services, we work to develop trusted advisor status with the CIOs and Heads of Data Management and Analytics at our clients.


Through our Data Governance services, we guide clients to gain an understanding of their data assets and how the data will be accessed and used. We help our clients to consider the multiple facets of Data Governance. We ensure Compliance with regulations for HIPAA, GxP, 21 CFR Part 11, and SOX.

  • We consider the global and local security and privacy concerns around patient and personal information, as required by HIPAA, GDPR, and APPI.
  • We assist our clients in creating a Governance model that ensures data quality and appropriate access to data based on security levels, organizational roles, and business priority.

With a foundation in data management built from decades of experience, our focus on Life Sciences brings a unique set of knowledge and capabilities to our clients.


With a deep understanding of the quality and standards required for Life Sciences data, we provide services for stewardship of enterprise data. We help clients define their data stewardship processes, taking into account enterprise master data definitions.

  • We ensure adherence to the client’s internal controls for governance and compliance.
  • We provide Stewardship services for production support of our client's Enterprise data through our Managed Services Provider (MSP) model.


Data is an asset but only if an organization can interpret it to gain insights. Analytics are vital for companies to make decisions across all areas of the business and operations. We help you prepare, visualize, and understand your data  through Business Intelligence and Reporting, Machine Learning and Advanced Analytics, and formal statistical analysis, such as in support of clinical trials and R&D.

  • We help our clients convey their analysis through industry- standard enterprise visualization tools.
  • With our experience in big data analysis, we can help you optimize the computational and visualization layers of your analytics platform to maximize performance.

Data Management Solutions

We focus on building cloud-based Data Management solutions. We have experience developing modern data capabilities, including data ingestion pipelines and Data Lakes for storage. We perform ETL based on your business rules, and we exercise best practices for metadata and cataloging.

  • We ensure data quality, and we can provide a higher level of confirmation through our rigorous Data Validation services.
  • We understand the down-stream consumption of data, and we can stage raw and curated data for Machine Learning, Advanced Analytics, Visualization, and Reporting.