Real Data.
Real Decisions.
Four analytics projects delivered across hospitality, energy, IT, and HR using Power BI, Zoho Analytics, and Excel. Each project below shows the business problem, what we built, and the outcome it produced.
Hospitality
Enterprise Revenue and Operational Efficiency Analytics Platform
Driving higher hospitality revenue and operational efficiency through centralised analytics, performance tracking, and data led decision making across the business.
The Problem
Revenue and operational data was scattered across multiple departments with no central view of performance. Leadership had no reliable way to see what was driving revenue, where inefficiencies were costing money, or how performance was trending across the business in real time. Decisions were being made on incomplete information.
What We Built
A centralised analytics platform that pulled revenue and operational data from across the business into a single unified view. Custom dashboards gave leadership real time visibility into performance by department, tracked key efficiency metrics, and highlighted where revenue opportunities were being missed or operational costs were running above target.
The Outcome
Leadership gained a single reliable view of revenue and operational performance across the entire business. Decision making shifted from gut feel and delayed reports to real time data. The platform became the daily operating tool for performance reviews, replacing disconnected spreadsheets and manual reporting completely.
Energy and Distribution
Regional Customer Analytics and Revenue Intelligence Platform
Enabling smarter energy and gas distribution through customer intelligence, regional demand analytics, and distribution optimisation across multiple territories.
The Problem
Customer and revenue data across regions was being managed in disconnected systems with no unified view of where demand was concentrated, which regions were underperforming, or how revenue was distributed across the customer base. Planning was reactive and distribution decisions were made without reliable data to support them.
What We Built
A regional analytics platform that consolidated customer and revenue data across all territories into a single intelligence layer. Dashboards showed demand patterns by region, customer segment performance, and revenue trends over time. The system gave the team the visibility they needed to optimise distribution routes and prioritise the right customer segments.
The Outcome
The business gained a clear picture of demand and revenue across every region for the first time. Distribution decisions became data led rather than assumption based. The team could identify underperforming regions, focus on high value customer segments, and plan ahead using demand intelligence rather than historical guesswork.
IT and Operations
IT Inventory and Vendor Performance Intelligence
Improving IT inventory visibility and vendor performance using real time analytics, cost control tracking, and supplier intelligence across the entire IT procurement operation.
The Problem
IT inventory was tracked manually across spreadsheets with no reliable view of stock levels, asset lifecycles, or vendor performance. Procurement decisions were being made without visibility into cost trends or supplier reliability. Overordering and underutilised assets were costing money that nobody could see clearly enough to address.
What We Built
An analytics platform that tracked IT inventory in real time, monitored vendor performance against delivery and cost benchmarks, and surfaced cost control opportunities across procurement. The system gave the IT team a single dashboard to manage stock levels, evaluate suppliers, and identify where spend was misaligned with actual usage and business need.
The Outcome
The IT team gained complete real time visibility into inventory and vendor performance for the first time. Procurement decisions became data driven, overordering reduced, and underperforming vendors were identified clearly. Cost visibility improved significantly and the team moved from reactive stock management to proactive planning supported by live data.
HR and Workforce
Seasonal Workforce Analytics and Retention Optimisation
Optimising seasonal workforce planning and improving employee retention through advanced hospitality workforce analytics built around real hiring, performance, and attrition data.
The Problem
Seasonal hiring was managed without any analytics around what was working. Retention rates were declining but the business had no visibility into when people were leaving, which roles had the highest attrition, or what was driving early exits. Workforce planning for the next season was being done on instinct rather than data, leading to consistent over or under hiring.
What We Built
A workforce analytics platform that tracked hiring, onboarding, performance, and attrition data across seasonal cycles. Dashboards identified at risk employees early, surfaced patterns in who was leaving and when, and gave HR leadership the data to intervene before attrition happened. Workforce planning for each season became anchored to historical data and forward projections rather than guesswork.
The Outcome
Retention improved as the team could identify and address attrition risks before employees left. Seasonal workforce planning became more accurate, reducing both over hiring costs and understaffing gaps. HR leadership gained a clear, data backed view of workforce health across every season that had not existed before the platform was built.
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