01
Sources
What exists today
Exports, CRM fields, marketplace reports, spreadsheets and team notes, listed before any of them is trusted.
SERVICE / DATA READINESS
Data readiness: making your existing data reliable enough to act on.
Marketplace reports, shop exports, CRM fields and spreadsheets: most businesses have plenty of data and little certainty about which of it is right. We find the sources you can trust before AI, automation or business intelligence is built on them.
WHAT YOU RECEIVE
A few short documents you can act on, before any dashboard.
A first look can be billed to your bag of hours; larger pieces get their own quote, paid before work starts. Sometimes the honest finding is to fix the sources before building anything.
Source inventory
The sources that exist, which can be trusted, which are duplicates and which should wait before anyone relies on them.
Decision map
Which decision each source supports: an Amazon account action, a lead to follow up, a stock priority, a report or an AI task.
Owners and correction rules
The owner named for every source, and the way a wrong value gets corrected, in plain language.
Follow-up note
Written after first use: whether the next step is automation, AI, reporting or more cleaning.
HOW DATA BECOMES USABLE
Five steps from scattered files to data you can act on.
It starts from the sources you already have and the decision they must support. Databases, dashboards and AI models come later, if at all.
listed
02
Evidence
What can be trusted
Fields and definitions checked and cleaned until they agree well enough to support one decision.
03
Owner
Who answers for it
Someone in your business who knows what each field means, corrects it and settles the doubtful cases.
04
Use
What it is for
Each source is tied to one use, chosen with you, before a second one is added.
05
Check after use
What it showed
A short written check of what the data made clearer, what it missed and which sources still need a person.
THE TERMS, IN PLAIN WORDS
What each term means in this work.
AI readiness
Whether the data behind one task is complete, consistent and looked after well enough for an AI tool to work from it.
Data strategy
Deciding which data the business needs for which decisions, and which it can stop collecting, copying or reconciling by hand.
Data governance
Who may change what, who answers for each source and how a mistake is corrected, written down so it survives staff changes.
Data quality
Fields filled in, matching between tools and recent enough for the decision in hand. That decision sets the bar, and it rarely demands perfection.
Data integration
Tools that agree, so the same product, order or customer is recognised as one thing in the shop, marketplace, CRM and spreadsheet.
Workflow automation
Software that does a repeated task so nobody does it by hand. It is only as reliable as the data it reads.
Business intelligence
Reports and dashboards summarising how the business is doing, trustworthy once the figures underneath come from checked sources with an owner.
Operating evidence
A figure from a known source, looked after by a named person and used for a specific decision. It is what this service delivers.
LIMITS AND NEXT STEPS
Where this work stops, and what it usually prepares.
It is not a data warehouse project and does not make a whole company AI-ready: it prepares one decision at a time. Exports usually suffice; any direct access is our own, never your password.
A repeated task can now run alone
Automation, once the data it reads is reliable, priced on the monthly time it saves.
A model needs checked sources
AI systems that read reviewed sources and have a person to hand doubtful cases to.
Amazon figures never add up
Amazon operations, when account figures must agree before listing, advertising or stock decisions.
The question is what comes first
One consulting session on which data, decision or system to tackle before anything is built.
NEXT STEP
Show us where the data lives today.
List the tools, exports and reports involved and the decision you want them to support. We reply with how the first review would be charged and what it needs from you.
Tell us where your data lives