The data you need to make better decisions already exists inside your business. It's just scattered across your CRM, spreadsheets, invoicing tools, and ad platforms. We connect your sources, build real-time dashboards, and deploy models that show you what's working, what's at risk, and where to focus next.
Better decisions start with data you can actually see and act on.
- Real-time dashboards and automated reporting (KPI visibility pulled from multiple sources, updated continuously, no more manual spreadsheet assembly)
- Demand forecasting and inventory optimisation (data-driven projections on what sells, when, and how much to stock)
- Customer churn analysis and retention modelling (identify at-risk accounts based on behavioural patterns before they leave)
- Sales forecasting and pipeline analytics (revenue projections, deal probability scoring, and pipeline health in one view)
This is for you if:
You're making decisions based on gut instinct, outdated spreadsheets, or reports that take a week to assemble. You have data across multiple platforms but no unified view and no way to spot trends before they become problems. You want the clarity of a data team without hiring one.
What this looks like in practice
E-commerce: Inventory and Demand Visibility
A mid-size e-commerce brand was consistently overstocking slow-moving SKUs and running out of bestsellers. Purchasing decisions were based on last month's sales and the founder's intuition. We connected their sales, warehouse, and ad platform data into a single dashboard with demand projections based on historical patterns and seasonality. Stockouts dropped significantly and excess inventory was reduced, freeing up working capital that had been sitting on shelves.
Professional Services: Pipeline Clarity
A growing recruitment agency had a CRM full of data but no clear picture of pipeline health. The leadership team was spending half of every Monday morning building reports manually. We built an automated pipeline dashboard that pulls live data from their CRM, scores deal probability based on historical close rates, and flags stalled opportunities. Monday morning meetings now start with answers instead of spreadsheets.
SaaS: Churn Detection
A B2B SaaS company with 400 accounts had no early warning system for churn. They only knew a customer was at risk when the cancellation email arrived. We built a retention model that tracks engagement signals (login frequency, feature usage, support ticket volume) and flags accounts showing declining activity. The customer success team now reaches out to at-risk accounts weeks before renewal, and the conversation shifts from saving to strengthening. ---
Expected outcomes
- A single source of truth pulling live data from all your key platforms
- Reporting time reduced from hours or days to real-time, automated updates
- Earlier visibility into at-risk customers, underperforming products, and pipeline bottlenecks
- Data-informed decisions replacing gut-feel across sales, operations, and inventory
Common questions
Let's turn your data into something you can act on.
Book a Strategy Call