Published on
November 19, 2024
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3
min read

Why a Data Maturity Assessment is the first step toward data-driven decision making

Why a Data Maturity Assessment is the first step toward data-driven decision making
authors
Elien Averhals
Elien Averhals
Head of Marketing

Knowing where your organisation stands in terms of data maturity can be a competitive game-changer. In our previous blog, we outlined the six levels of data maturity, from organisations just starting their journey to those fully integrating data into every decision-making process. Each stage reflects progress toward a more data-driven, strategic approach that influences every layer of the organisation and gets you ready to let AI bring value.

But how can you accurately assess your current level and what insights does such an evaluation provide? In this blog, we dive into the specifics of a Data Maturity Assessment – a sequel to our QuickScan. We’ll explain what the assessment entails, the areas it evaluates, and the value it brings to building a solid data-driven and AI-first strategy. With this knowledge, you’ll be equipped to identify your organisation’s strengths, address gaps and set a clear course towards prioritising a data-driven mindset and leveraging on AI.


Assessing how data & AI are incorporated in your strategy

"The numbers tell the tale”—a saying we’re all familiar with. Measuring is the cornerstone of informed decision-making. A Data Maturity Assessment offers a clear view of where your organisation can grow to use data as a strategic asset. At Madison.Partners, we conduct these assessments through in-depth interviews, either in person or online, with key stakeholders from both business as IT teams.

When starting a Data Maturity Assessment, we explore questions such as:  

  • How is data currently used to steer the company? As it will help us to understand the value of specific use cases.  
  • How measurable is your corporate strategy? Have clear KPIs already been defined?  
  • Which goals have been achieved and which are still in progress?  

Once the strategic basics are clear, we delve deeper into measuring your corporate data and AI strategy. The key question becomes: How is data embedded in your organisation and its decision-making processes? Together, we map out the parameters that drive your business objectives and assess whether they are adequately tracked for both real-time insights and long-term transformation. From enterprise reporting and KPI tracking to broader transformational goals, we also examine whether the intelligence you’ve built is actively measured and regularly refined.  These focus areas form the basis of our interviews, enabling us to evaluate how well specific projects align with and contribute to your company’s objectives.

"By connecting strategic priorities with measurable KPIs, you can align organisational targets with your teams' goals, ensuring data becomes a true driver of success."

A 6 foundations-based data framework to prepare your growth roadmap

The next phase of a Data Maturity Assessment delves deeper into six key foundations, which we identify as essential building blocks for organisational growth. Each foundation represents an area where your organisation can develop to enhance its maturity. These foundations are not isolated but interconnected, supporting the use cases that drive your organisation forward. Only by addressing all of them your organisation can achieve scalable, sustainable growth. From technology & data to fostering data literacy and embedding data-driven practices across your teams, these are the 6 foundations:  

1. Data  

2. Tools & Technology  

3. Data Governance  

4. Skills & Capacity

5. Organisation  

6. Communication & Change  


The process of maturing your data-driven way of working involves considering these 6 foundations and aligning your strategy. Evaluating your initiatives regarding these foundations benefits consolidating your data, is a way to ensure adequate data quality and prepare for implementing AI technology.

It requires attention to embedding data-driven practices across your organisation to create lasting value at scale. At all levels of your company, both technical and human. Key considerations include:

  • Who within your organisation takes ownership of this transition?
  • Do your teams have the skills to execute the roadmap and sustain momentum?
  • Is your data and AI roadmap aligned with business goals to ensure it supports your employees’ objectives?


Insights gained through assessing these foundations help your management make informed decisions, positively influencing external brand perception, market share and customer experience. By connecting strategic priorities with measurable KPIs, you can align organisational targets with your teams' goals, ensuring data becomes a true driver of success. Within any maturity level, your organisation may excel in some foundations more than others. There’s no right or wrong – the key is identifying areas of improvement and addressing them through a clear, actionable roadmap. By doing so, you can make significant progress and move towards a higher maturity level.

Quick wins from assessing your maturity?

  • Gain an objective view of your organisation's current state when planning to improve data maturity.
  • Understand your overall maturity level compared to industry standards.
  • Receive tailored recommendations to advance your maturity on each foundation.
  • Achieve clearer alignment between your business goals and data strategy.
  • An assessment also allows you to set a realistic ambition (without knowing your current maturity, you cannot realistically define a 'TO BE' situation).


By leveraging these insights, your organisation can confidently chart a path toward a more strategic and data-driven future.

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Date
November 19, 2024

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