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Data & Business Intelligence

Your business already produces data.

See next month before it happens.

Predictive analytics uses your own history to forecast what is coming — next quarter's demand, and which customers are quietly drifting away — instead of relying on instinct. We build practical forecasting and churn models from your sales, customer and operational data, and validate them against held-out history. Every model comes with plain-language explanations and honest confidence ranges, so planners trust the numbers enough to act on them.

Predictive Analytics

The Data Journey

FROM RAW NOISE
TO DECISIONS.

Every dashboard starts in the same place: messy, scattered data. This is the path that turns it into decisions.

01

RAW DATA

Sales, stock, finance, logs

02

STRUCTURE

Clean, modelled, joined

03

ANALYSIS

What's actually happening

04

VISUALISATION

Dashboards that read at a glance

05

DECISION

Moves made on evidence

The Problem

You order stock on instinct and run out of fast movers while slow lines gather dust. Customers leave without warning, and by the time the revenue dip shows in your reports, they're already gone.

Our Solution

We analyse your sales, customer and operational history to build models that forecast demand, flag at-risk customers early and quantify what's coming. Every model ships with plain-language explanations and confidence ranges — so planners trust it enough to actually use it.

Capabilities

FROM PIPELINE TO
LIVE DASHBOARD.

01Data readiness assessment and gap analysis
02Demand forecasting by product, branch or service
03Customer churn scoring and early-warning flags
04Seasonality analysis tuned to local trading patterns
05Scenario modelling for pricing and supply changes
06Model validation against held-out history
07Plain-language findings report for decision-makers
08Refresh pipeline so predictions stay current

The Payoff

LEADERSHIP SEES
WHAT'S REALLY HAPPENING.

  • 01Stock ordered against forecast demand, not last-minute panic
  • 02At-risk customers identified months before they leave
  • 03Cash flow planned with forward visibility instead of hope
  • 04Promotions timed to predicted demand peaks
  • 05Fewer stock-outs of fast movers and less dead inventory
  • 06Planning meetings anchored in evidence, not opinion

Process

DATA HAS
A METHOD.

  1. STEP 01

    Assess

    We audit your data quality and define realistic goals.

  2. STEP 02

    Model

    We build and validate predictive models on your history.

  3. STEP 03

    Explain

    We translate results into decisions your team can take.

  4. STEP 04

    Maintain

    We set up refresh cycles and monitor accuracy over time.

Pricing

A VIEW OF THE BUSINESS
WORTH THE INVESTMENT.

Starter

One focused forecast, properly validated.

  • Data readiness assessment
  • One forecasting model
  • Validation against historical accuracy
  • Findings presentation
  • Forecast template for reuse
  • Recommendations report

from $1000

per project

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Business

Forecasting plus churn intelligence.

  • Up to three models across use cases
  • Churn scoring for your customer base
  • Seasonality tuning workshop
  • Automated monthly refresh setup
  • Dashboard integration of predictions
  • Decision-maker briefing sessions
  • Two months accuracy monitoring

from $2500

per project

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Enterprise

Predictive capability embedded in operations.

  • Multi-model programme across departments
  • Custom feature engineering from all sources
  • Production deployment with monitoring
  • Alert workflows into CRM and ERP
  • Analyst upskilling programme
  • Quarterly model reviews
  • Dedicated data scientist retainer option

from $5000

per project

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Prices are starting points, quoted per project in USD. Scope specifics can shift the figure either way — a free discovery conversation gives you an honest number before you commit.

Common Questions

QUESTIONS WE EXPECT.

Straight answers to the things people ask before starting data work — and the things they should ask.

For meaningful forecasts we generally want two years of reasonably consistent history; churn models need enough customer turnover to learn from. If you have less, we'll say so and suggest building the data foundation first.

Data & Business Intelligence

PREDICTIVE ANALYTICS
FOR YOUR BUSINESS?

One discovery conversation is all it takes to find out whether this is the right investment, what it should look like and what it costs. No obligation, no pressure.

How we work

A process with
no surprises.

ASK US HOW IT WORKS
01

Discovery Call

A focused conversation to understand the outcome, the context and the constraints — before anything is quoted.

02

Recommendation & Quote

A flat USD quote, a clear scope and a realistic timeline — in writing, before any work starts.

03

Design & Build

Senior people do the work. You see progress in shared spaces — never surprise-and-wait.

04

Launch & Support

We go live together, then stand behind the work with support and ongoing optimisation.

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