Connected Data Flow And Standards: A Data Management Approach

Data management experts work with a four-step innovation process to create connected data flow and standards: digitization, centralization, standardization and automation. Together, these steps address the data challenges, increase efficiency and optimize quality. To do that, experts implant human expertise into a technology-based platform through IQVIA’s Connected Intelligence. Let’s explore each step.

1. Digitization Of The Process

In most organizations, documents make up the foundation of legacy Data Management. As needed, employees share such documents, usually via email. That can make these documents hard to find by anyone other than the owner. Even when users can find these documents, the process is time-consuming. Plus, many legacy documents lack needed information, often due to a lack of guardrails that ensure the inclusion of certain expected content. Even worse, a series of users can modify documents in ways that can only be tracked through tedious, manual methods. Even in the best situation, this method is inefficient.

In considering the digitization of legacy documents, an organization faces many questions. Will it digitize all or some of its documents? How will digitization account for an organization’s workflow of processes and data?

Explore the rest of the steps in the available white paper.