Case Study: Using Agile Data Architecture to Build the INC Research Enterprise Data Model

In the fall of 2014, INC Research embarked on an Agile Data Architecture effort to build the Enterprise Data Model and set the foundation for its next phase. This presentation will chronicle how we leveraged the Agile Principles in three phases.

Gather

Define the spring, select business participants and structure the agile support team.

Evolve

Select the existing body of data knowledge. Prune, enrich and extend it.

Consume

Define the bridge from the existing data resources to the new structures and publish and promote the resulting work products.

Project success isn't producing the deliverables; it is affecting positive change to the organization. This is the story of how we changed the company using Agile Data Architecture.

Enterprise Agile Data Strategist with nearly 30 years of professional information management experience in Enterprise Business Data Architecture. Enterprise Data Strategy expert focused on data leadership and enterprise information management strategy development. Demonstrated success recruiting key cross-functional business segments to participate in accurate technical articulation and execution of business data goals and objectives. Proven expertise extracting business data requirements, developing relationships, and evolving models that execute the enterprise data vision. Public and private-sector leadership experience implementing solutions that are willingly adopted by technical staff, critical business leadership and championed by VP and C-Level constituents. Experience in multiple industries including Pharmaceutical Research, Retail, Health Care, Financial Services, Consulting, Criminal Justice, Insurance, Natural Resources, Petrochemicals, and Software Development.