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In this blog, Opencast Senior Service Designer Dr Angela Orviz reflects on her presentation at SDinGov 2026, exploring why service designers need a deeper understanding of data and analytics ecosystems. She discusses the shift from siloed transformation to ecosystem thinking, the challenges of data transformation in government, and the role service design can play in supporting more strategic decision-making.
Introduction
Public services are becoming increasingly dependent on data, analytics, automation, and AI. Yet many service designers still have limited visibility of how data moves through organisations, how insight is generated, and how weaknesses in that ecosystem can affect citizens and frontline services. These are some of the themes I explored during my recent presentation at SDinGov.
For this year’s event, I wanted to share insights into the data and analytics ecosystem and encourage service designers to think in systems and push their practice to a more strategic level. I must thank the SDinGov organisers for trusting me to be part of the programme and giving me the opportunity to showcase my work and ideas on the big stage.
Insights
One of the key messages from the session was that public sector organisations need to move beyond siloed transformation initiatives and towards ecosystem transformation.
The Data and Analytics Ecosystem
The discussion explored the data and analytics ecosystem: the people, infrastructure, services, processes, and governance that enable organisations to collect, manage, analyse, and use data effectively.
One of the insights that sparked further discussion was the snowball effect of poor data quality, and how we can design for good data quality at source by:
Applying or advocating for shared data standards and schemas, and centralised data storage, to enable a single source of truth.
Considering the downstream analytical impact of data collection, not just its operational use, and working closely with data experts.
Data Transformation
As government bodies migrate their services to digital and their data to the cloud, we must operate within a complex transformation landscape. Some key challenges for service and data transformation are:
The difficulty of transforming analogue channels and free text into data usable for analytics.
Technical blockers to integrating legacy, interim, and strategic solutions.
The complexity of working in a landscape where every policy, system, and process is undergoing transformation while change is still managed in silos.
There is an increasing need to integrate service and data transformation. Service design has an important role to play in bringing a system view to help public sector leaders understand interdependencies and ownership across organisational boundaries, facilitate vertical and horizontal alignment, and make strategic decisions about what to deliver and when.
Systems and Strategic Design
For designers to be able to add strategic value, two things need to happen.
First, we need leaders who appreciate the value of understanding dependencies and enable cross-boundary collaboration.
Second, we need to strengthen service design capability to understand and map complex ecosystems in a way that supports leaders in making informed decisions.
By experimenting with different ecosystem mapping methods (landscape, full-stack, and cyclical) I have learnt how different views can support different strategic goals. I encourage service designers to take their current maps one level up.
Effective strategic design depends not only on methods and tools, but also on leadership that creates space for collaboration across organisational boundaries. In my experience, senior leaders who actively support shared understanding, systems thinking, and cross-disciplinary working can dramatically increase the value design brings to transformation.
I have experienced first-hand how leadership can create the conditions for strategic design. My former colleague, Julie Stephens, consistently championed collaboration, systems thinking, and shared understanding across boundaries. Her approach helped create space for design to contribute beyond immediate delivery challenges and into broader strategic decisions.
Takeaways
Reflecting on the discussion, these are the points I believe matter most for service designers and transformation leaders alike.
Data First
Inaccurate data and analytics can have a real human cost.
Data-driven decisions, automation, and AI models are only as good as their data, infrastructure, and governance foundations.
Data Transformation
Centralising key data infrastructure and services can improve efficiency, reduce environmental footprint, facilitate legal compliance, and accelerate innovation.
We operate in a complex landscape of legacy, interim, and strategic solutions.
We need to shift from siloed change to ecosystem transformation.
Design Learnings
We should consider the downstream analytical impact of data collection.
We should work closely with experts, bringing an open mindset, learning the basics, and integrating knowledge to challenge assumptions and address conflicts.
We should level up to a system view.
We need leadership that makes space for strategic design.

Looking Ahead
As organisations continue investing in data platforms, automation, advanced analytics and AI, our ability to understand and navigate complex systems will only become more important. Service designers have an opportunity to play a significant role in this space – not by becoming data specialists, but by helping organisations understand relationships, dependencies, ownership, and the human consequences of data-driven decisions. The challenge now is to move beyond individual service improvements and contribute to ecosystem transformation.
If you’d like to explore how Opencast can support data and analytics capability-building within your UCD communities of practice, or help map the ecosystems across your organisation, get in touch with Andrew McMurray (Director of Design and Delivery Capability): andrew.mcmurray@opencastsoftware.com

OpenPerspectives is our platform for Opencast people to share their thoughts and perspectives on modern digital delivery. It offers practical insight into user-centred design, engineering excellence, product leadership, data-driven decision making and building expert capabilities, grounded in real-world experience.
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