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PredictifyAnalytics

Practice areas

  • Predictive ForecastingDemand, revenue, risk and capacity models
  • Data Strategy & GovernanceOperating model and architecture roadmap
  • Analytics EngineeringPipelines, warehouse and semantic layer
  • Decision IntelligenceKPI trees and board-grade reporting
  • Machine Learning & AIModels in production, with monitoring
  • Pricing & RevenueElasticity, promotion and margin recovery

How we engage

  • Decision AuditTwo weeks, fixed fee, written findings
  • Build SprintEight to sixteen weeks, outcome-linked
  • Embedded PracticeSix to twelve months, retained
  • All servicesThe full practice in detail
  • Talk to a principalReply within one business day

Featured

Published work

Eight reproducible projects

Real analyses on 12 public datasets. Every figure computed, limitations stated in full.

Sectors

  • Retail & Consumer GoodsDemand volatility, assortment, promotion ROI
  • Financial Services & InsuranceCredit risk, claims leakage, fraud
  • Healthcare & Life SciencesPatient flow, capacity, adherence
  • Manufacturing & Supply ChainDowntime, yield, inventory position
  • Energy & UtilitiesLoad forecasting, asset health, balancing
  • Technology & SaaSChurn, expansion, unit economics

Featured

Published work

Eight reproducible projects

Real analyses on 12 public datasets. Every figure computed, limitations stated in full.

Projects

Latest thinking

  • The forecast is not the decisionDecision Science · 8 min
  • Why your data team keeps rebuilding the same pipelineAnalytics Engineering · 6 min
  • A CFO's guide to model riskGovernance · 10 min
  • All insightsEssays, notes and field research

Research & media

  • Reproducible projects8 projects, findings and limits published
  • The pipelineEight stages, the code behind each one
  • DeliverablesThe same work in six reporting tools

Featured

Essay

The forecast is not the decision

Accuracy past a threshold is worth nothing unless the decision rule changes. Working backwards from the decision instead.

About
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ServicesSix practices: forecasting, data strategy, analytics engineering, decision intelligence, machine learning and pricing. Three engagement formats, fixed scope.
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IndustriesRetail, financial services, healthcare, manufacturing, energy and technology — the forecasting problems each sector brings, and where the error has a price.
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ProjectsEight reproducible analyses on twelve public datasets — 6,219,116 rows, 51 findings and 50 stated limitations. Public data, documented method, every figure computed rather than typed.The pipelineEight stages from raw file to published result. Each names the code that performs it, the libraries it imports, and what went wrong there.
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Home/Terms of engagement

Terms of engagement

How we work, what you get, and what we will not do. Plain English, not a contract.

Last updated 8 August 2026.

This page is not the contract

Every engagement runs on a signed scope that states the question, the deliverable, the fee and the dates. That document governs. This page describes how we work so you know what you are agreeing to before you read a word of legal drafting.

Nothing is billable until it is signed

Scoping conversations, a written view on whether there is work worth doing, and the answer “no, not yet” are all free. A conversation can end before a scope exists, and that is a normal outcome rather than a failed sale.

A Decision Audit is a fixed fee agreed in advance. It does not move because the work turned out to be harder than expected.

What you receive

The written findings, the code that produced every figure in them, and the limitations we could not resolve. Deliverables land in your repository, your cloud account and your credentials — not ours.

You own the outputs and the code we write for you. We keep our own general methods, tooling and know-how, which we will use again elsewhere; we do not reuse your data, your figures or anything specific to your business.

What we warrant

Every figure we hand you regenerates from the code we hand you. If a published number cannot be reproduced from the delivered repository, we correct it at our cost.

If a number we gave you later turns out to be wrong, you hear it from us before you hear it from anyone else.

We do not warrant business outcomes. Whether a better forecast becomes value depends on decisions taken inside your organisation, and we are not in a position to promise those. Any accuracy bar is agreed after we have seen the data, never before.

What we will not do

We do not resell software, take commission for recommending a platform, or hold a vendor partnership that would bias a recommendation. If the tool you already own is good enough, that is the answer you will get.

We will not build a model on a foundation that cannot be refreshed on a schedule, and we will say so before you spend money rather than after.

Confidentiality

We will sign your NDA before a scoping call, or provide a mutual one. Client names are not published without written permission — which is why this site shows public-dataset work instead of a logo wall.

Liability

Our liability under an engagement is limited to the fees paid for that engagement, and excludes indirect or consequential loss. Nothing here limits liability that cannot be limited in law. The precise wording lives in the engagement letter.

Written in good faith and kept deliberately specific, but not by a lawyer. If you are relying on it contractually, ask us for the reviewed version rather than this page.

PredictifyAnalytics

A decision intelligence consultancy. We build the forecasts, models and reporting that let leadership teams commit to a number and defend it.

Services
  • Predictive forecasting
  • Data strategy
  • Analytics engineering
  • Decision intelligence
  • Machine learning
  • Pricing & revenue
Industries
  • Retail & consumer
  • Financial services
  • Healthcare
  • Manufacturing
  • Energy & utilities
  • Technology
The firm
  • About us
  • The pipeline
  • Contact
Research & media
  • Insights
  • Reproducible projects
  • Featured essay

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