Data Services

Foundations

Unlock business value through Data & AI implementation

Our Data & AI Advisory services bring a team of data experts to support you on your journey to derive value from your data, using AI and emerging technologies.

We bring a wealth of experience working within the public and private sectors, defining and implementing Data & AI strategies, supporting trials of emerging technologies and acting as trusted partners in deploying safe and responsible AI.

Our approach brings deep specialism from our practices, with strong consulting skills to manage change in such a rapidly changing landscape, and couples this with hands-on experience and pragmatism to take a step back from the hype surrounding AI and focus its use where greatest value and benefits can be realised. We will help you to understand and build your foundational data capability to enable effective use of data and AI, spanning skills, capabilities and enabling you to secure investment to drive impact from emerging technologies. This ranges from tactical solutions to collaboratively supporting your teams to lead strategic transformation.

We’ll be your partner across the data lifecycle, from identifying use cases to supporting you at every step of implementation. Our aim is to leave your teams empowered with the skills and tools required to continue to build and realise value from Data & AI.

To learn more about how we can assist your data management strategy, get in touch with us today.

Our Solutions

We Provide:

Data Strategy Development, Review & Implementation: Craft and execute comprehensive data strategies that align with business goals, ensuring scalability and long-term value.
AI Strategy: Develop tailored AI strategies to drive innovation, improve efficiency, and achieve competitive advantages.
Strategy Implementation: Translate strategic plans into actionable steps, ensuring seamless execution and measurable outcomes across the organisation.

Our Solutions

Strategy Development & Implementation

We Provide:

Data Strategy Development, Review & Implementation: Craft and execute comprehensive data strategies that align with business goals, ensuring scalability and long-term value.
AI Strategy: Develop tailored AI strategies to drive innovation, improve efficiency, and achieve competitive advantages.
Strategy Implementation: Translate strategic plans into actionable steps, ensuring seamless execution and measurable outcomes across the organisation.

AI & Data Product Design & Management

We Provide:

Trials & Delivery of AI Products: Develop, test, and deploy AI solutions to validate performance and ensure successful implementation.
Platform Approaches: Design scalable and flexible AI architectures tailored to your organisation’s needs, leveraging cloud, hybrid, or on-premise platforms.
Use Case Identification: Identify high-value AI opportunities by aligning business objectives with actionable and impactful data-driven solutions.
Tool Selection: Evaluate and select the most suitable AI and data tools to meet your technical and operational requirements.

Data Maturity Assessment

We Provide:

Current State Analysis: Evaluate your organization's data infrastructure, governance, and analytics capabilities.
Gap Identification: Highlight weaknesses and opportunities for improving data management and utilisation.
Roadmap Creation: Develop a clear, actionable plan to progress through data maturity stages.
Governance and Compliance Review: Assess data quality, security, and adherence to regulatory standards.
AI/ML Readiness Assessment: Determine your organization’s preparedness for adopting advanced analytics and AI/ML technologies.

AI Governance & Assurance

We Provide:

Ethical AI Frameworks: Establish policies to ensure AI systems are fair, transparent, and unbiased, aligning with ethical standards.
Compliance Management: Ensure AI solutions comply with regulations, industry standards, and privacy laws.
Model Auditing and Validation: Regularly evaluate AI models for accuracy, reliability, and alignment with business objectives.
Risk and Impact Evaluation: Implement ongoing monitoring to track AI performance, detect anomalies, evaluate impacts and detect any emerging risks.

Data & AI Change Management

We Provide:

Cultural Transformation: Foster a data-driven culture by aligning leadership, teams, and processes with data and AI-driven objectives.
Data Literacy Development: Empower employees with the knowledge and skills to understand, interpret, and leverage data and AI tools effectively.
AI Adoption Support: Guide organisations through the AI adoption journey, ensuring smooth integration and acceptance across teams.
Enablement Programs: Provide ongoing training, resources, and support to enhance data and AI capabilities, driving sustained organisational growth.

Data Operating Model

We Provide:

Data Governance Framework: Establish clear policies, processes, and roles to ensure data quality, security, and compliance across the organisation.
Data Architecture Design: Build scalable and flexible data structures to support analytics, AI, and business decision-making.
Data Process Optimisation: Streamline data workflows and integration to improve efficiency, consistency, and accessibility.
Performance Monitoring and Continuous Improvement: Implement tools to measure and optimise data operations, ensuring alignment with evolving business needs.

Data Governance & Management

We Provide:

Organisational Enablers: Define roles, responsibilities, and resources to support data governance across the organisation, ensuring accountability and ownership.
Data Governance Processes: Establish clear processes for data stewardship, quality control, security, and compliance to ensure consistent and reliable data management.
Data Structures & Frameworks: Design and implement structured data models, taxonomies, and metadata management to enable efficient data retrieval and usage.
Operating Model Optimisation: Develop and maintain an agile data operating model that aligns with business goals, supports scalability, and adapts to evolving data needs

Tools of specialty

Microsoft Purview

Microsoft Purview is a unified data governance solution that helps you manage and govern your data. We’ll help you create a holistic, up-to-date map of your data landscape with automated data discovery, sensitive data classification, and end-to-end data lineage.

Informatica

Informatica’s Intelligent Data Management Cloud is the first and most comprehensive AI-powered data management solution. We’ll enable every cloud-native service you will ever need for next-gen data management, all in one platform.

Our approach

Discover: Enduring change begins with understanding your users, their needs, and your organisational context. In our research phase, we’ll align on a shared vision, develop a stakeholder engagement plan, assess data maturity, and evaluate team data literacy. Our researchers will curate use cases to support your case for change and craft a roadmap stakeholders can champion.
Design: Effective program design is key to long-term data transformation. Using research insights, we’ll collaborate with your leaders and users to craft a data strategy and design a future-ready organisation. Together, we’ll create a practical implementation plan tailored to your capacity and appetite for change, ensuring sustainable results. Robust governance and reporting will demonstrate value-add to your board.
Execute: We support you throughout your transformation, working alongside your team to enhance their skills. Together, we’ll transition to your future organisational design, adopting agile practices and user-centered design. Through joint ceremonies like Stand-ups and Sprints, we’ll tackle prioritised use cases, build capabilities, and demonstrate the value of iterative development to users and stakeholders.
Embed: Now it’s time for your team to take the lead, using new data foundations to deliver lasting value. We’ll step back but remain available, ensuring knowledge transfer throughout the process rather than last-minute handovers. In this phase, we’ll refine tools and processes with user feedback and provide any final training to fully equip your team for a truly data-driven future.

Case Studies

Positioning Data at the heart of Innovation - Swindon Borough Council (SBC)

The council employs over 2000 staff who work to prioritise improving infrastructure and housing to support a growing, low-carbon economy; offer education opportunities that lead to the right skills and the right jobs in the right places; ensure clean and safe streets; improve public spaces and local culture; and helps people to help themselves, while always protecting the most vulnerable children and adult. As part of its pledge to compete at the forefront of digital innovation with a commitment to using
technology for positive change, the council wanted to improve organisational data management enabling it to more effectively use its data, lower costs and support new services.

Stethoscope - The CCG

The CCG was overloaded with datasets, spending a lot of time collating data from various sources for analysis. They required assistance in navigating the vast flows of data that the NHS generates and had a requirement to access this data through an online platform and automated reports, which could visualise benchmarked and predictive data for interpretation in a clearer way than their current and complex spreadsheets.