Rewired

Section FiveEmbedding Data Everywhere

What it takes to make data easy to consume across the organization

In established companies, data is often a source of frustration. In our experience, as much as 70% of the development efforts of an AI-based solution are composed of wrangling and harmonizing data. Many of these issues can be traced back to legacy, siloed systems so it's critical to architect data thoughtfully for easy consumption and reuse; otherwise, scaling becomes challenging. The goal is to have clean, relevant, and available data so that agile pods can use it to make better decisions and build better data-enabled solutions.

The core unit for achieving this goal is the data product – a set of data elements that are curated and packaged in such a way that any team or application across the organization can easily consume it.¹

What data products do you need and what data elements should they contain? That question is always the first place to start, and answers should be guided by your digital roadmap to focus your efforts on the highest-value data.

To enable the easy development of data products, top companies put in place a solid data architecture that lets data efficiently “flow” from where it's sourced to where it's used. They also deploy a federated data governance model in which business leaders act as sponsors for the data and data products they own. This section will show you how to turn your data into a competitive advantage.²

• Chapter 24: Determine what data ...