Twig International: Strategizing Pharma Data Analytics

Twig International: Strategizing Pharma Data Analytics

CIO VendorGreg Workman CEO
The pharmaceutical sector has been challenged by data proliferation followed by ineffective approaches to managing the data. This has prevented pharma companies from deploying analytics to gain insights into their own data, including not having visibility into the whole product life cycle. Attempts by pharma companies to manage their data, by addressing the requirements of individual projects or investing in enterprise data warehouses and analytical centers, have yielded little results. Twig International, a management consultancy firm headquartered in Metropark, NJ, seeks to address these challenges. “We have devised methods and practices that transform and empower clients with strategic and analytical capabilities to be adapted into their culture of operations,” says Greg Workman, CEO, Twig International.

Twig International focuses on pharmaceutical product life cycle analysis, starting with research and development, to sourcing of raw materials, manufacturing, testing, launch, distribution, customer service, and commercial performance. This scope requires collecting large volumes and types of data. To this end, the company deploys its ‘secret sauce’ of big data practices and technology. Big data analysis includes descriptive, predictive, and machine learning capabilities. Workman highlights 3 crucial factors that are essential to lower the threshold for success and unleash the creative use of analytics across the whole organization: “Our data governance practices and technologies are unique in that they automatically provide for knowledge management, data virtualization, and data stewardship and access control. He further adds that Twig International continually strives to innovate and better its own solutions.

Apart from analytics, the company has carved a niche for itself in transforming different types of data between the incompatible realms of object oriented (Java and .NET), data interchange (XML, Jason, and HTML), and relational querying languages (SQL).

We’ve developed some of the best practices to transform whole organizations into being data -driven

“We’ve developed some of the best practices to transform and integrate data from each of the incompatible paradigms,” mentions Workman.

Another key innovation of Twig International’s practice is the ability to deliver new strategic data and analytics capabilities upon the completion of each business-driven project. Every new project is able to leverage the previous capabilities and deliver its solution faster and cheaper. “It’s a very efficient process that lowers the success bar for every new project, as it allows us to focus more on the business problem instead of project management, architecture, development, support, and technology,” explains Workman.

Twig International’s clientele for data analytics range from life sciences and pharmaceuticals, to medical devices, healthcare consumer products, healthcare communications, e-health, health benefits, and health insurance. Workman mentions how a large pharmaceutical enterprise that embraced Twig International’s solutions has been able to optimize its complex supply chain. “They can even track a product’s life cycle beginning with a customer complaint and trace back through all phases of the product lifecycle,” says Workman. “Clients have also been able to forecast the demand better and fine tune their supply chains accordingly,” states Workman.

While customers acknowledge the company’s expertise in providing simple and clear solutions for data analytics, Twig International continually seeks to deploy new technologies and applications in its roadmap. “The word Twig is an acronym where T is Technology, W–Work (process), I– Information, G–Governance (People),” says Workman, emphasizing Governance over others. He however acknowledges the role of talented individuals and effective business practices above all else. “Execution of those practices is the hard part and that’s where we excel,” concludes Workman.