Data analytics and dashboards
Operational and management dashboards built on agreed metric definitions, with visible data freshness, drill-through to source records, and access aligned to the roles that should see each view.
Service group
Data and Analytics
Reporting problems are usually data problems. Before a dashboard can be trusted, the numbers behind it need an agreed definition, a known source and a visible refresh time. We do that work first and build the reporting layer on top of it — which is also, in practice, most of what it takes to become genuinely ready for AI.
Services in this group
- Data analytics and dashboards
- Data platform and engineering
- Data governance and AI readiness
The problem
What this service is for
If any of these describe your organisation, this is the right group to start with.
- Two teams report different figures for the same measure and both can justify theirs.
- Management reporting is assembled by hand each month and is out of date on arrival.
- Data exists but is trapped in systems that don't talk to each other.
- Nobody can say where a number came from or when it was last refreshed.
- An AI initiative has stalled because the underlying data is inconsistent or ungoverned.
What we do
Services included in this group
Data platform and engineering
Pipelines that extract, validate and consolidate data from your line-of-business systems, with schema checks, quality tests and alerting when a source changes shape or stops arriving.
Data governance and AI readiness
A practical assessment of data quality, ownership, sensitivity classification and retention — the groundwork that determines whether an AI initiative can be governed, and what it may lawfully use.
Key deliverables
What you receive
Tangible artefacts, not a status report. Everything below is handed over and belongs to you.
- Metric dictionary: agreed definition, owner and source system for each measure
- Data pipeline implementation with validation, quality tests and failure alerting
- Dashboards and reports with visible freshness indicators and drill-through
- Data quality assessment identifying gaps, duplication and inconsistency
- Sensitivity classification and retention recommendations
- Role-based access design for reporting and the data beneath it
- Documentation of data lineage from source system to published figure
Expected outcomes
What changes as a result
Described as what the deliverable makes possible. We do not guarantee business results, and any figure we quote will be one you can verify.
- One agreed figure per measure, with a definition anyone can look up
- Reporting refreshes on a schedule instead of consuming days of manual assembly
- Data problems surface as alerts rather than as questions in a management meeting
- Sensitive data is identified and handled according to a documented classification
- AI initiatives start from a governed, described dataset rather than an unknown one
Technologies
What we build with
Chosen for fit rather than fashion. Where your organisation has a standardised technology set, we work within it or make a documented case for an exception.
- PostgreSQL and analytical data warehouses
- SQL-based transformation and testing frameworks
- Scheduled and event-driven pipeline orchestration
- Dashboard and visualisation platforms
- Python for analysis and data quality checks
- Vector stores and embedding pipelines for retrieval
- Row-level security and role-based access controls
Engagement options
How to start with this service
Most engagements begin with the smallest bounded commitment that answers the open question.
- Discovery sprintTypically 1–2 weeks, fixed fee
- A short, bounded piece of work that turns a broad ambition into a defined problem, a recommended approach and a costed plan. You keep the outputs whether or not we build the solution.
- Fixed-scope deliveryDefined outcome, milestone-based
- An agreed scope, acceptance criteria and milestone schedule. Change is handled through a written change process rather than absorbed silently.
- Dedicated capacityMonthly, rolling
- An agreed number of specialist days per month against a prioritised backlog you control. Suited to programmes where scope evolves faster than it can be specified.
- Managed serviceOngoing, agreed response targets
- Continuing operation, monitoring, patching and improvement of a system we or another supplier built, under response and resolution targets agreed in writing.
Related
Where this service applies
Sectors
Workplace safety & compliance
Inspection, incident and compliance workflows where the record has to stand up months later.
See the sector detailHealthcare
Administrative and operational systems that reduce clinical admin without touching clinical decision-making.
See the sector detailLogistics & transport
Operational visibility, document processing and exception handling across movements, fleets and facilities.
See the sector detailEnterprise
Delivery inside established architecture, security and change governance — including as a specialist alongside incumbent suppliers.
See the sector detailSolutions
Illustrative solution pattern
Operations dashboard on governed data
A single operational view built on agreed metric definitions, with visible freshness and drill-through to source records.
Read the full write-upIllustrative solution patternAutomated compliance checking
Submissions checked against a written rule set, with every finding citing its clause and a competent person confirming the outcome.
Read the full write-upOther service groups
- Agentic AI & Automation
- Application Development
- Cloud & Infrastructure
- Cybersecurity & Compliance
- Managed Services & Support
Talk to us about data & analytics
Tell us the problem in your own words. If this is the wrong service for it, we will say so and point you at the right one — including at another supplier if that is the honest answer.
We reply to every enquiry within one business day.