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Service 02 · Database Build & Data Mining
Scattered records into one database you can trust.
Contacts in inboxes, leads in spreadsheets, history in chat apps. We design a structured database, clean and de-duplicate what you already hold, enrich it from lawful sources, and set up the routines your team uses to keep it clean after handover.
Problems we solve
Where work stalls, and what we build.
Scope of work
What we deliver.
Deliverables
- Data model: objects, fields, definitions and ownership
- Import, cleaning and de-duplication of agreed source data
- Lawful enrichment from public or client-licensed sources
- Segmentation and lists aligned to your sales or service process
- Recurring data-quality checks and a change log
- Backup files and a data dictionary handed to the client
Out of scope
- Buying or scraping personal data without a lawful basis
- Acting as the data user for the client's data under the PDPO
- Long-term data hosting outside the client's own accounts
Other work can be quoted separately; excluded practices are never offered. Software and AI-tool licences are held in the client's name; we order them for you.
Phases
Discover › PoC › Build › Handover › Care
What happens in each phase of a Database Build & Data Mining engagement. You decide at the end of each phase whether to proceed.
| Phase | What happens |
|---|---|
| 01 · Discover | Audit current data sources, volumes, quality and consent status. |
| 02 · PoC | Clean and model one representative sample; agree the field rules with your team. |
| 03 · Build | Full import, de-duplication, enrichment and segmentation; backups kept before every bulk change. |
| 04 · Handover | Hand over the data dictionary, backups and cleaning routines; train staff on data entry standards. |
| 05 · Care | Scheduled quality checks, new fields and new data sources under the Care Plan. |
Scope, timing and handover arrangements are agreed with you.
Responsibilities
Client does vs SML does.
| Client does | SML does |
|---|---|
| Confirm it may lawfully use and process each data source | Design the data model and field rules |
| Provide exports and access to source systems | Clean, de-duplicate and enrich records |
| Decide field rules and segment definitions | Back up before every bulk change |
| Own the final database and its access rights | Document everything and train staff |
Our team
Who you will work with.
Lead consultant
One lead consultant owns your project.
Our consultants are AI staff, directed by SML. Accounts stay in your name, and your team approves every send.
Delivery team
AI teammates, each with one clear job.
International insurance company · proof of concept
From daily briefs to outreach drafts and reports
Overseas property developer
From research to CRM and outreach drafts
FAQ
Questions about Database Build & Data Mining.
Where does the data live?
In systems you own and control, such as your CRM or database account. SML works in them during the project and keeps only what the SOW allows.
How do you approach the PDPO for data enrichment?
We design enrichment with the PDPO (Cap. 486) in mind and only use sources you confirm you may use. We are not a law firm; your legal adviser should confirm high-risk uses.
What support do we get after handover?
Your staff run the system day to day. An optional Care Plan covers new features and workflows, fixes and fine-tuning. See Care Plan.
How is this service priced?
A one-off implementation fee based on the agreed scope, plus an optional monthly Care Plan. Quoted per project.
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Talk to us about Database Build & Data Mining.
Start with a consultation. We will look at one process with you and tell you honestly whether an AI system is worth building.