Customer Story

Data Strategy

Data Strategy

The Problem

The Head of Data for a large public sector agency required an actionable data strategy and faced a series of key challenges.

  • They had limited understanding of the data available to them, where it was stored, and how exploitable it was within their complex environment.
  • There was an increasing need to better understand the data requirements of their internal and external partners, including operational teams.
  • They needed a clear and concise understanding of existing data quality, its value, and maturity.
  • They needed to understand how data could be exploited and shared with all teams and partners, placing data at the heart of their organisation.

The Solution

Daintta worked in partnership with other suppliers and successfully responded to the key challenges within 10 weeks. Using agile delivery methodologies we supported user-centric and data-driven approaches to engage with over 60 stakeholders from across a range of technical and business roles.

Various engagement techniques were used including collaboration sessions, ideation workshops, prototyping seminars, surveys and 1:1 interviews to ensure all points of view were captured, including those from typically under-represented groups.

Proven domain subject matter expertise provided guidance and existing accelerators were tailored and leveraged to create comprehensive data landscape insights and recommendations.

Key outputs included:

  • Data strategy components. Including: data operating model, data governance approach, data supply chain and data management information for the customer’s critical systems.
  • Data Landscape Information and Control Panels. A minimum viable product was developed (using PowerBI and other Azure stack elements) that provided comprehensive and real-world enterprise data architecture, governance, and data demand views.
  • Operational Demand Heatmap. An innovative and interactive way to assess critical operational queries against data sources using tailored heatmaps.


The outputs enabled the Head of Data to:

  1. Join the dots – develop a better view of how data is used, shared, and exploited across different teams.
  2. Make Data work – develop a better view of what data is available, its value, quality, and maturity for teams to get the most value from it.
  3. Provide a Data backbone – develop a better view of the required data architecture to be able to retain, manage and share current and future data sets in alignment with the organisational strategy.

We empowered the client to understand their key data challenges; create a platform to make data-driven decisions; and prioritise investments. This enabled the customer to maintain pace with the ever-changing strategic, operational, and tactical environment.

In addition, it provided them with insights to make data driven decisions that will result in building capabilities that are fundamental to keeping the UK safe and secure.

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