S-05 · AI Data & Insights
See what is happening without waiting for a report
We bring the numbers from your different systems into one dashboard or regular report. Your team sees performance at a glance and is alerted when something needs attention.
Problems it solves
Does this sound familiar?
“Getting a simple answer means asking someone to build a report.”
“We spot problems late because the numbers live in different places.”
“Every month, someone spends days pulling figures together in spreadsheets.”
Typical use cases
Where it helps
Management dashboard
Key numbers from sales, operations and finance on one screen, kept up to date automatically.
Scheduled reports
A regular report sent to the people who need it, without anyone building it by hand.
Operational alerts
A warning when a figure crosses a limit you set, such as stock running low or overdue invoices rising.
Forecasting
Estimates of demand or sales, and early signs of customers likely to leave, where your data allows.
How we deliver it
Four steps, one at a time
- STEP 01
Agree the questions
We start from the decisions you make and the numbers you need to make them.
- STEP 02
Connect the sources
We connect the data sources you choose and check the figures match the ones you trust today.
- STEP 03
Build the dashboard
Key numbers appear in one dashboard or report, which you review as it takes shape.
- STEP 04
Add alerts and forecasts
We add alerts for what needs attention, and forecasts only where the history supports them.
Example
A weekly summary with an alert
How sales, expenses and stock could come together in one view, with an alert when something needs attention.
This week: sales are up on last week, and two products are running low.
Practical details
What it takes
What we need from you
- Access to the data sources you choose, such as spreadsheets, your CRM or accounts package
- The questions you want answered every week or month
- The limits that should trigger an alert
- Someone who knows where each figure comes from
- Enough past records, if you want forecasting
Timing
Dashboards usually take 3 to 8 weeks, depending on how many data sources are connected.
Good to know
- A dashboard cannot fix missing or inconsistent data; some clean-up may need to come first.
- Forecasts are estimates, offered only where there is enough reliable history.
- It shows what is happening and where to look; the decisions stay with your team.
Technical details (for technical readers)
- A central data store that gathers data from your systems for reporting.
- Scheduled data pipelines that pull, clean and combine data from each source (often called ETL: extract, transform, load).
- Dashboards designed for daily use, with access controlled by role.
- Rule-based alerts that fire when a figure crosses a threshold you set.
- Predictive modelling where data allows, monitored over time so accuracy does not quietly slip.
Discuss your project
Tell us what you want to improve. In a free 30-minute call, we will tell you honestly whether this service fits, and what a first step could look like.