A Data First Approach to Digital Transformation

Join us Wednesday, March 23rd at 2:00 p.m. EDT


Organizations are always looking for ways to work faster and smarter by easily capturing information without causing too much grief for the end-users. Often these methods focus on what is being managed and how—customers, equipment, materials, samples, research, discovery, manufacturing products, complaints. Organizations then string together the needed data across these domains retrospectively.

What if the focus was on the data—how it flows through the organization, what we can derive from it, and how we can understand it from a cross-system perspective—before we choose our systems, upgrades, or technology platforms for analyzing the data? The technology approach matters, but the objectives for gaining value matter most.

In thirty minutes learn how putting your data first in technology decisions could help simplify your future. Technologies come and go; the need for data continuity and access to derive insights quickly is a constant. A cross-system view of the data, however, can be complex and challenging. Synergies between systems, work processes, and organizational structures add to the challenge.

It may seem counterintuitive to delay an individual system implementation by delving into data integration on the backend. Join us to learn more about why this approach gives laboratories a competitive edge.


Key Take-Aways:

  • Data first in technology considerations and planning is optimal
  • Technologies are ever-changing; the core data of your organization are typically constant
  • Learn how to evolve the approach to planning for technology projects
  • Understand how to take a holistic view of digitization

Who Should Attend:

  • Project Managers who focus on complex enterprise implementations in global settings.
  • Laboratory Directors, Managers, and Analysts with an interest in making business technology decisions for disparate data
  • Clients who’ve tried multiple implementations at the same time only to be forced to restart or who are about to embark on complex, aggressively timed efforts.
  • Tech leads or Scientific Leads who are considering Data Lakes, Warehouses, or Document Databases for Scientific information.
  • Anyone who wants to help their organization draw insights from their data regardless of the source.


This is not a technical presentation, rather the approaches to blend the technical with the business use cases.