Data Strategy First: The Importance of a Data Model
When:4 March 2026
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Time:11:00 am
Many organisations start their data journey by choosing technology. A new platform, modern data stack, or analytics tool often feels like the logical first step. However, successful data initiatives rarely begin with tools. They begin with strategy, and more specifically, with understanding the importance of a data model.
In this webinar, Pio Marolla is joined by our very own Feroz Khan and Jakob Harrison to discuss why organisations should define their data foundations before selecting technology.
Meet your Hosts
Who Ran This Session?
Feroz Khan
Partner & Co-Founder of Bluestonex
Jakob Harrison
Customer Account Manager
Why the Importance of a Data Model Is Often Overlooked
A data model defines how information is structured, connected, and used across an organisation. It provides the blueprint that ensures systems, teams, and processes work with data consistently.
Without a clearly defined data model, businesses often face common challenges such as:
Data silos across departments and systems
Inconsistent definitions for key business data
Difficulties scaling analytics and reporting
Higher costs when platforms must be reconfigured later
Understanding the importance of a data model helps organisations ensure that technology choices support business needs rather than forcing businesses to adapt to the limitations of their tools.
What Should Be Defined Before Choosing Data Tools
Before implementing any data platform or analytics solution, organisations should focus on three core areas:
1. Business objectives Define what value your data should deliver and which outcomes you want to achieve.
2. Data governance Establish ownership, standards, and processes that ensure data quality and consistency.
3. Data architecture and modelling Design how data is structured and how systems interact across the organisation.
When these foundations are defined early, technology decisions become much more strategic and scalable.
From Data Model to Trusted Master Data
Defining a data model is only the first step. Maintaining consistent data across multiple systems requires strong governance and centralised management of key business data.
This is where Master Data Management becomes essential. MDM ensures that critical entities such as customers, products, and suppliers remain consistent across platforms and departments.
Solutions like Maextro help organisations operationalise their data model by centralising governance and synchronising master data across systems. By aligning master data with the underlying data model, companies can build a reliable and scalable data foundation.
For organisations building a modern data strategy or preparing their data landscape for analytics and AI, understanding the importance of a data model is a critical first step.
Watch the replay to learn how business and IT teams can collaborate to build strong data foundations before selecting the tools that will shape their data ecosystem.
