Innovating IN and THROUGH Data: Knowledgent

Large volumes of data bring new opportunities and challenges for all types of businesses. On one hand, Big Data holds great promises for discovering new strategies and important insights that are not possible with small-scale data. On the other hand, the massive volumes and high dimensionality introduces unique computational and statistical challenges, such as data cleansing, scalability and storage bottlenecks, and application scalability. This is a serious concern for companies looking to boost their operational productivity. These challenges require a new computational and statistical paradigm.

Keeping these challenges in mind, Knowledgent, a firm headquartered in Warren, NJ, was founded to help organizations improve lives and business through data by applying the latest technologies and best scientific methods revealing high-value insights. The company has been delivering innovation in data and analytics for Fortune 1000 companies on the bleeding edge of technology since 2009. Knowledgent combines data science, engineering, and domain expertise to enable clients to implement innovative, data-driven business solutions. 

Dawning of the company

In 2009, Knowledgent was founded with the objective to provide its clients a rich set of capabilities that combine domain expertise with data and computer science. The founders established the company with the mission of helping businesses through innovating their use of data. This means maximizing the potential of all available data to realize game-changing decision-making capabilities that drive innovation. The company is fixated on optimizing the fundamental foundation of enterprise data and enabling the implementation of advanced analytics capabilities, delivering critical new insights and prescriptive actions. 

With offices in New York City, Boston, Toronto, and Warren, NJ, Knowledgent works with organizations in various industries, such as Life Sciences, Healthcare, Financial Services, and Products and Services. 

Knowledgent has been recognized in Gartner’s “Market Guide for MDM External Service Providers” for 2017, and was named “1 of the Top 10 Fastest Growing Big Data Solutions Providers” by Insights Success Magazine, and awarded the “2016 Excellence in Social & Community Investment Award” by Consulting Magazine. 

The Innovative approach

Knowledgent is an end-to-end data and analytics firms that provides strategic guidance for its clients that results in large-scale technology initiatives driving advanced analytic capabilities. 

One area where Knowledgent has been particularly innovative is in Real World Evidence (RWE) for the Life Sciences industry. The availability of anonymized RWE data sources (e.g. Medical Claims, lab results, and EMRs) is driving a paradigm shift in understanding the efficacy of medical treatments. Life Sciences companies are performing advanced analytics, including cohort and predictive analytics, on top of these RWE data sources to understand the performance of their drugs and devices when used by actual, non-clinical trials patients. Some of the most common RWE analytics use cases include comparing treatment effectiveness, negotiating drug prices based on outcomes, and increasing patient medication adherence.

Knowledgent’s RWE Practice has been focusing on the exponential growth in the variety of RWE data sources and the need for standardization of RWE data and analytics platforms, while keeping the cost of support and scale manageable. When this data is acquired, it enables advanced analytic capabilities for Life Sciences companies through institutionalizing their RWE knowledge base. Knowledgent provides the approach and framework for RWE standardization, governance, and collaboration. 

Case Study: Performing Treatment Pathway Analysis Using Real World Evidence

A major pharmaceutical company sought to identify the treatment pathways that patients with a particular disease undergo based upon relevant clinical events, along with other medications the patient was prescribed. By using Sankey diagrams to visually cluster the patients into different treatment pathways, the Knowledgent team was able to correlate patient outcomes, such as hospitalization rates and medical costs, with the treatment pathways. The team was also able to perform analytics on the pathways themselves, gaining an understanding of the percent of patients in each pathway and other key metrics. The client was impressed by the intuitiveness of the visualizations along with the valuable insights they depict. 

Knowledgent and the client were able to uncover new insights into drug candidates and guidance for additional clinical trials and data collection. As a result of the project, the client now has: 

• Self-Service Analytics which give business users the opportunity to explore areas of interest across the entire product portfolio, build patient cohorts, analyze health resource utilization, inspect treatment pathways, and view disease progression
• Broadened analytics capabilities with a toolset and infrastructure that allows more comprehensive research quickly and efficiently
• Better insights to drive the business in the future from a much broader dataset that incorporates real-world evidence outcomes data 

The road ahead

Knowledgent has been leveraging its deep experience and high performing team of Informationists to stay updated on industry-leading data and analytics insights. 

Through its Labs facilities, it is currently helping clients in downsizing the time and cost associated with data and analytics projects. Knowledgent Labs is a full-fledged software development center designed to remotely execute rapid prototypes, data engineering and analytics services, and technology operations for clients across all industries in an on-shore model. This in return helps clients by utilizing Knowledgent’s expertise, easy access to technology platforms, and proprietary assets in accelerating their time-to-value in data and analytics initiatives.

Meet the Chief Executive Duo

“We were founded with the core mission of improving lives and business through data. This means maximizing the potential of all available data to realize game-changing decision-making capabilities that drive innovation.”