Assess the data
Map source systems, reporting gaps and decisions made with incomplete information.
Typical output
Source inventory, priority questions and a proposed first dashboard scope.
AI analytics from Batley, West Yorkshire
AI analytics dashboards that turn UK operational data into decisions
Griffith's Digital Insights Ltd. connects the ERP exports, spreadsheets, production systems and CRM data your team already has. Get AI dashboards, predictive analytics and business intelligence shaped around the decisions people make each day.
One trusted view. Clear ownership. Your current systems stay in place.
Based on Howden Clough Road in Batley. We work on-site across Leeds, Kirklees and West Yorkshire, with remote delivery across the UK.
Output vs planOn track
Open exceptionsNeeds review
Next shiftForecast ready
Weekly production trend
Signals to review
Changeover time above recent baseline
Material demand rising next week
Quality trend flagged for inspection
Example layout only. Measures and thresholds are agreed with each client.
Reporting timeHours your team spends assembling updates
Systems connectedERP, CRM, line data and spreadsheets in one model
Forecast qualityAccuracy checked against actual demand or outcomes
Decision latencyTime between a signal appearing and action being taken
Built for real operating conditions
Credible analytics engineering, not dashboard theatre
The work starts with data access, definitions and the people who use the report. The result has to make sense at a production meeting and in a board pack.
UK GDPR-aligned handling
Role-based access design
SQL and warehouse ready
Microsoft Power BI fit
Python analytics pipelines
Start with an assessmentMap decisions, data sources and reporting gaps before selecting tools.
Keep your existing stackConnect to current systems rather than starting a rip-and-replace programme.
Choose the deployment fitDiscuss cloud or on-premise options for your data and security needs.
Local to Batley and available across Leeds, Kirklees and West Yorkshire. Remote delivery is available nationwide.
Services
AI analytics services built around real operational questions
Start with the decision that is slow, uncertain or buried in manual reporting. Build only what helps someone act on it.
AI dashboard development
Connect source data, agree useful KPIs and build interactive views for shop-floor, management and board teams.
Explore dashboard developmentPredictive analytics
Assess demand forecasting, predictive maintenance, churn, cash flow, risk scoring or anomaly detection against your data.
Explore predictive analyticsBusiness intelligence and data visualisation
Replace conflicting reports with governed scorecards, trend analysis and drill-down views that explain what changed.
Explore BI and reportingNot sure where to start?
Bring one recurring report or decision problem. We can map the source data and agree a sensible first step.
Talk through the dataSector knowledge
Sector analytics for UK manufacturing, logistics, retail and finance
A useful dashboard speaks the language of its operation. Measures, thresholds and reporting rhythm are set with the people who own the result.
Manufacturing and production
Bring OEE, downtime, changeovers and scrap into one production view. Spot repeat losses before the next shift review.
Question: where is planned output being lost?Supply chain and logistics
Join inventory, warehouse throughput and fleet data to see pressure building across the operation.
Inventory · fleet · demandRetail and customer
Compare demand, stock cover and customer behaviour to guide replenishment and retention decisions.
Demand · churn · attributionFinancial and commercial
Make cash-flow, margin and credit risk easier to review with consistent measures and clear exceptions.
Cash flow · margin · riskProperty, energy and public sector
Bring portfolio, utility and service data together for clearer occupancy, carbon and performance reporting.
Portfolio · utilities · carbonPlanning tool
Estimate the reporting time your team could reclaim
Adjust the figures to reflect your current process. This planning estimate uses an explicit assumption, not a promise of savings.
Your reporting routine
Estimate time spent collecting, checking and formatting recurring reports.
The estimate assumes an initial 35% reduction in manual collation time after reporting is automated. Actual results depend on data quality, report design and adoption.
Illustrative estimate
Time that may be available for analysis
18hours per month reclaimed
2.3working days per month
A first dashboard might bring together production output, late orders or a weekly finance pack. The right starting point is the report your team rebuilds most often.
Review the estimate with an analystProject patterns
Operational results start with a specific question
The examples below describe common project shapes, not published client case studies. Measures are agreed and verified with each organisation before outcomes are reported.
ManufacturingOEE · downtime · scrap
Illustrative project pattern
Find repeat losses across production shifts
A West Yorkshire engineering manufacturer could combine machine, downtime and quality records in one scorecard. The first review would test where changeover delays recur and measure reporting effort before and after the dashboard goes live.
DistributionWarehouse · fleet · demand
Illustrative project pattern
See demand peaks before schedules are fixed
A regional operator could connect warehouse throughput and fleet records, then test demand forecasts against historical peaks. Maintenance planning and service levels remain operational measures to validate, not assumed outcomes.
RetailStock cover · demand · value
Illustrative project pattern
Focus replenishment on lines that matter
An e-commerce team could compare core-line demand forecasts with stock availability and customer value. Forecast error, stockouts and margin would be tracked against a clear baseline before any claim of improvement.
Delivery method
A five-stage analytics delivery method
Each stage leaves behind something your team can inspect. No black-box handover.
Integrate sources
Build governed connections from ERP, CRM, production, logistics and finance data.
Typical output
Documented data flows, checks and a modelled layer with agreed definitions.
Build and validate
Design KPIs and dashboard views; test predictive models against historical outcomes.
Typical output
Working dashboard, KPI notes and model validation results for review.
Deploy and enable
Set role-based access, scheduled reporting and focused training for each user group.
Typical output
Access plan, operating notes and practical handover sessions.
Monitor and refine
Review model accuracy, tune thresholds and add new questions as use grows.
Typical output
Accuracy review schedule, change log and prioritised next steps.
People and practice
The skills behind your dashboards and models
Data engineers
Build and document reliable data pipelines.
BI developers
Shape clear dashboards and useful reporting views.
ML specialists
Test forecasting and risk models against evidence.
Analytics consultants
Translate findings into plain operational language.
Clear enough to maintain after handover.
Griffith's Digital Insights Ltd. brings data engineering, BI development, machine learning and operational analysis into one delivery team. Each measure has a definition. Each model has a validation record. Your team can see where the data came from and how the result was produced.
The team is based in Batley and works on-site across Leeds, Kirklees and the surrounding West Yorkshire area. The same delivery method supports UK-wide projects.
Read about our approachReferences and evidence
What UK teams should be able to verify
We don't publish invented client quotes or unattributed performance claims. During a scoping conversation, ask to review relevant references and the measures used to assess similar work.
Useful proof includes the original reporting baseline, the data sources connected and the change measured after adoption.
Evidence should name the operational context and measurement period. A dashboard screenshot alone doesn't show whether a team made a better decision.
Common questions
Questions UK teams ask before starting an analytics project
How long does a first dashboard take to go live?
Timing depends on source access, data quality and how quickly the team can agree definitions. An initial assessment sets the scope and identifies the people needed for review. See dashboard development for the delivery approach.
Do we need a data warehouse or clean data before work begins?
No. Work can start with spreadsheets, exports and imperfect source data. The assessment will show what can be used as-is, what needs checks and whether a modelled data layer is worthwhile.
How do you handle sensitive operational and commercial data?
Access, hosting and data handling are agreed around your requirements, including UK GDPR obligations. Role-based access and cloud or on-premise deployment options can be considered before implementation.
Who maintains dashboards and forecasting models after deployment?
Handover includes documented definitions, data flows and practical guidance for your team. Ongoing monitoring and refinement can be scoped where models need accuracy reviews or thresholds need tuning.
Can the system expand to more sites or business units?
Yes. Start with a controlled use case, then extend the governed data model, access rules and reporting views as more teams are ready to use them.
How are predictive analytics models checked before people rely on them?
Models are tested against historical outcomes and reviewed with people who understand the operation. Forecast error, assumptions and limits should be visible before a model informs a decision. Read more about predictive analytics.
Start with the data you have
Bring your operational data into one trusted view
Talk through the decisions, reports and systems causing friction. We’ll map a practical first dashboard and explain what needs to happen next.
Griffith's Digital Insights Ltd. is based in Batley, West Yorkshire, and works with organisations across the UK.
Contact the analytics team
+44 7911 800981 [email protected]Howden Clough Road, Batley, Kirklees, LS27 0LU, United Kingdom
Discuss your AI analytics project