From Data Frustration to a Transformation Roadmap

Sep 24

2 min read

Australia | Multi-site retail organisation

How an Australian business reframed a product-data problem and built an evidence-based roadmap across people, process and technology.

The Challenge

An Australian multi-site retail organisation recognised that product data had become increasingly important to operational performance, reporting, customer experience and future AI initiatives. However, product information was being created, maintained and consumed across multiple teams, systems and processes.

Over time, this had created significant spreadsheet dependency, manual workarounds, unclear ownership, inconsistent processes and low confidence in information quality. The organisation was considering investment in Master Data Management capabilities, but first needed to understand whether the core problem was technological or whether people, process and governance issues would continue to undermine any new platform.

The Approach

A structured discovery programme was designed across People, Process and Platform. Rather than starting with a technology selection, the engagement focused first on understanding how product information moved through the organisation and how employees experienced data in their day-to-day work.

· Executive stakeholder engagement and cross-functional discovery workshops

· User profiling and persona development

· Current-state process mapping

· Data ownership and governance analysis

· Communication and change-readiness assessment

· Data maturity evaluation

· Future-state operating model development

What We Discovered

The discovery showed that technology limitations were only part of the challenge. Many of the most important barriers were organisational: ownership was not always clear, local workarounds had evolved over time, teams maintained their own versions of information and knowledge often remained with individuals rather than in accessible systems.

This shifted the conversation from a system implementation to a broader organisational capability uplift. Improving data quality would require governance, accountability, process discipline, communication and user adoption alongside any technology investment.

Building the Business Case

The future-state model therefore treated Master Data Management as part of a wider transformation rather than a standalone software purchase. The business case considered data governance, process standardisation, role clarity, change management, knowledge management, digital workplace practices and platform capability together.

This gave leadership a more realistic picture of the investment required to achieve sustainable improvement and helped separate short-term system fixes from the organisational changes needed for long-term value.

The Outcome

The engagement produced a consolidated view of user groups, a data maturity baseline, a practical improvement roadmap, governance recommendations, change and communication recommendations, and clear capability requirements for future Master Data Management investment.

Most importantly, leadership gained a clearer understanding of the problem before committing to technology. The roadmap provided a basis for future investment decisions grounded in operational evidence rather than assumptions, while linking People, Process and Platform into one transformation path.

Capabilities

Data Strategy · Discovery & Transformation Planning · Data Governance · Change Management · Operating Model Design · Executive Advisory · AI & Digital Strategy