Cambridge Semantics
The New Frontier of Modern Data Management

The sudden expansion of business data in the recent years—thanks to data streaming, IoT, and big data pipelines—has pharmaceutical companies racing to connect data across their infrastructures, and build an enterprise data fabric. Sure, technology plays a vital role in providing security and lineage across the data fabric, but handling this bulk of data on a daily basis is no cakewalk. From advanced data collection, governance and security to data management and storage, pharma organizations today are in dire need for a modern data management solution. In response to this requirement, Cambridge Semantics—an enterprise big data management and exploratory analytics software company—is guided by a mission to revolutionize the pharma landscape with a modern-day enterprise data fabric.

Cambridge Semantics, Inc. (CSI) leads the charge to help pharma companies establish a sound connection between their data, extract information, and remain competitive in the market with its Anzo® platform. This solution is based on the clarity of vision in terms of the capabilities of the data fabric, and seamless connection of both structured and unstructured data sources to achieve digital transformation, and drive business success. According to Ben Szekely, SVP, Head of Field Operations at Cambridge Semantics, “It is not just a product or solution, but more like a north star a pharma company needs to adopt in order to undergo this transformation, connect digital health and clinical data, and uncover essential insights.” That being said, Anzo serves as an architecture that binds the clients’ new and existing data infrastructures with what the company calls ‘a data discovery and integration layer.’

This discovery and integration layer is based on semantics with rich metadata that makes the information easy to understand, and a graph data model that connects the data, making it fast, flexible, and scalable across the business. Anzo’s integration layer is tailored to connect users with analytics-ready data sets in a simplistic manner, which allows them to efficiently discover answers to known and unanticipated healthcare questions.

We can create an entire environment to modernize data infrastructure, unify data inside different silos, and capture the integration analysis of healthcare data

As an example, leading Pharma companies apply Anzo to blend data from multiple clinical studies to let users ask exploratory questions in minutes or hours as opposed to weeks and months. The uniqueness of Cambridge Semantics stems from its in-depth knowledge and expertise in semantics and graphs to develop metadata-based systems and middleware applications for the pharmaceutical organizations. CSI leverages the semantic data model to make data perceivable, connected, and easy while an in-memory graph engine scales the data as per the clients’ needs. “The semantics data model coupled with the in-memory graph engine allows effortlessly integrating data and scaling the data fabric beyond what others are able to do today,” Szekely adds.

Flexibility and scalability aside, Cambridge Semantics follows a holistic four-step methodology to effectively serve its clients: data onboarding, semantic modeling, blending data from multiple sources, and providing uninterrupted user access from any BI or analytics tool. The holistic methodology combined with the graph-driven approach to data discovery and integration enables the clients to integrate artificial intelligence (AI), machine learning, and IoT to capture data from numerous embedded devices and monitor patients. “Given our experience working with life sciences, continuous advancements, and our client engagement approach, we can create an entire environment to modernize data infrastructure, unify data across different silos, and integrate of healthcare data without having to discard any current investments,” says John Rueter, VP of Marketing at Cambridge Semantics.

With its client base comprising several of the top pharmaceutical and life sciences organizations in the world, Cambridge Semantics aims to leverage the hybrid cloud approach for deploying and scaling the data fabric in European-based projects. “We are excited to witness our products deployed on major cloud platforms led by companies like IBM, Microsoft, Google and Amazon as a way to build capabilities in data management and integration,” Szekely concludes.