Episode 29: Introduction to the data series
- Embedded IT
- Mar 11, 2025
- 2 min read
Updated: Jan 16
Data is often described as the foundation of modern IT, yet it can quickly become an academic and confusing topic. This piece breaks it down in simple, practical terms for people in procurement who need to understand data well enough to make informed decisions. It also sets the scene for a wider exploration of how data underpins AI, why quality matters, and what organisations should consider when planning future technology projects.
This article is part of our Data series within Embedded Insights, exploring how organisations collect, manage, analyse, and use data to support better technology and procurement decisions. If you’re new to the topic, we start by answering what data is and why it matters to organisations.
What data really is and why it matters
Many organisations are eager to explore artificial intelligence, but AI is only as good as the data feeding it. Without well-structured, trustworthy information, even the most advanced tools cannot deliver meaningful results.
This piece focuses on removing complexity and explaining the basics in clear, human terms so that non-technical procurement teams can understand the role data plays in technology strategy.
Preparing data for future technology projects
Organisations often underestimate the work required to get data into a usable state. Good data needs structure, ownership, and the right supporting tools. These are all areas that procurement teams may eventually be responsible for sourcing.
The discussion also outlines the types of tools and approaches that help make data useful and ready for future AI or analytics initiatives.
What procurement teams need to consider
Because data tools and platforms are purchased and implemented like any other technology, procurement teams have an important role to play. This includes asking the right questions, understanding what quality looks like, and shaping requirements that support long-term organisational goals.
There is also a broader shift happening in how data is managed and used, along with common pitfalls when organisations rush ahead without establishing solid data foundations.
For organisations looking to strengthen their approach to data and prepare for future AI initiatives, get in touch.
