Goal 4
We are a data-led organisation, with modern, responsive and resilient data structures that optimise operations and decision-making.
Our data strategy will be a major enabler in delivering our outcomes by 2030. Establishing the data foundations we need to fulfil our future ambitions will drive more informed, evidence-based decision making and prioritisation.
We seek to realise the benefits a robust data system can bring. These are:
- customer insights
- optimised service delivery
- managing risk and identifying opportunities
- sparking innovation and continuous improvement
- informing future policy development
- influencing systemic change
By 2030, we will have delivered a clear framework and implemented its components, enabling easy access to data across Disclosure Scotland through tools and systems that realise these benefits.
Our approach is centred on how we use our data, analysing what it tells us and becoming increasingly insight led in the future.
We will focus on four main themes to achieve this:
- Data 1: Our data is clearly aligned to our business model and goals.
- Data 2: Our data governance is clear, consistent and proportionate.
- Data 3: We have strong digital data architecture.
- Data 4: Our people and culture is supported by high data literacy and usage.
Data 1
Our data is clearly aligned to our business model and goals.
Data exists to drive value, better decisions, outcomes, efficiency, growth.
We will mature our data, analytics and insights gathering, becoming increasingly informed by a wider range of data sets and analytical approaches that will re-imagine the purpose of our data, how we apply it and what it demonstrates in terms of:
- our service performance
- our corporate duties
- our contributions to social and economic outcomes
- social, economic and protection research and development
Data 2
Our data governance is clear, consistent and proportionate.
Governance protects our organisation and public services. We are subject to data protection legislation and standards, to which we must, and do, comply. How we comply and the organisational standards we set specifically to our data sets can vary.
By 2030, we will have reviewed governance, guidance, operational standards and protocols to place compliance at the heart of our data processing, with consent information management principles further underpinning all of our activities and data types in a clear, supported and sustainable way.
Data 3
We have strong digital data architecture.
Our data supports our operations, our strategic development and wider government and sectoral insights.
By 2030, we will have a developed a clear blueprint for our data and how our technology supports it to be increasingly accessible (where appropriate), trusted, quality-controlled and integrated.
We will seek to modernise our digital data architecture such as data housing and real-time pipelines and master data management and report configuration and automation to harness the benefits and efficiencies. This will enable better decision-making, analytics and AI readiness, which are all critical attributes for a modern public service body, as well as laying the foundations to respond to future needs.
Data 4
Our people and culture is supported by high data literacy and usage.
By 2030, all of our people will be expected to use our data confidently and effectively. However, we will continue grow our people’s understanding of the benefits of applying data standards and insights to all our work.
To do this, we will create data literacy learning opportunities across all of our functions. We will ensure the tools are intuitive and responsive, aligning to business goals and user requirements.
By 2030 we will have a data literate workforce that can access, assess and make evidence-based decisions – focusing our people on the qualitative attributes of data as opposed to time consuming, repetitive and often duplicated practice of presenting it.