Data & Analytics
Data your business
can actually trust.
Dashboards, pipelines, cleansing, AI training data and document processing — human-in-the-loop data operations where AI handles the volume and a person checks the logic, signs off the numbers and stays accountable.
Data smartsourcing is dedicated analysts, BI developers and data engineers running your reporting, pipelines and data operations — human-in-the-loop by design. Automation handles the volume; people handle the judgment: edge cases, contradictions and everything your board will rely on.
A data team that scales
More trusted data out, without more desks.
Work we do
Our world of data smartsourcing.
Hire one capability or a whole pod — delivered by data specialists, augmented by AI, signed off by a person.
Dashboards & Business Intelligence
- Live dashboards in Power BI, Looker or Tableau
- KPI packs and scheduled reports that build themselves
- One metrics layer — everyone measures the same thing
- Clear, on-brand visuals leaders actually open
- Forecasts, trends and cohorts you can act on
Data Engineering & Pipelines
- ETL/ELT pipelines from your tools into one warehouse
- BigQuery, Snowflake or Postgres — set up right
- dbt models and a governed metrics layer
- Data migration without losing history
- Monitored for drift, not build-and-forget
Data Cleansing & Enrichment
- Deduping, validation and standardisation at volume
- CRM & ERP records verified against primary sources
- B2B contact and account list building & enrichment
- Stale data refreshed on a standing schedule
- Every value traceable to its source
AI Training Data & Annotation
- Image, video and text labelling for your AI models
- Human-in-the-loop validation and QA sampling
- Edge cases curated, resolved and fed back to the schema
- Model output review and hallucination auditing
- Works in your tools — CVAT, Label Studio or in-house
Document & Records Processing
- Invoices, forms and scanned documents — structured
- AI extraction, human validation on the exceptions
- Delivered straight into your AP, ERP or CRM
- Recurring schedules with agreed accuracy SLAs
- Audit trail on every processed record
Data Governance & Lifecycle
- Clear definitions so metrics don’t drift between teams
- Access controls and privacy-first handling
- Ongoing dedupe, standardisation and re-validation
- Schema changes absorbed, not re-scoped
- The team that builds your data also maintains it
Not sure which mix?
Tell us what you need to see and where the data lives. We’ll scope the right blend of specialists and quote it clearly.
Talk to us →Tools we know
Expertise in the tools you already run.
We match specialists to your exact stack — outputs land in the systems your team already uses.
BI & Reporting
- Power BI
- Looker
- Tableau
- Metabase
- Excel / Sheets
Warehouse & Pipelines
- BigQuery
- Snowflake
- Postgres
- dbt
- Fivetran / Airbyte
AI & Annotation
- CVAT
- Label Studio
- V7
- Python
- Your in-house tools
Business Systems
- Salesforce
- HubSpot
- Xero / MYOB
- NetSuite
- Monday.com
Why Tandem
Numbers you can actually stand behind.
A human owns every output
AI does the crunching; a person checks the logic, signs off the numbers and is accountable for what your board sees.
Built on your stack
We work with the tools and data you already run — your CRM, ERP, spreadsheets and warehouse. No rip-and-replace. Your data can stay entirely in your environment.
Safe and governed
Privacy-first pipelines, least-privilege access and clear definitions so your data helps decisions without leaking or drifting.
Roles you can hire
Pick a specialist, or a whole pod.
Each one is augmented by AI and owned by a person who signs off your work.
How it works
From messy data to numbers you trust.
Define what counts
We agree definitions, sources and quality thresholds up front — so the output matches what your business actually measures.
Pilot & calibrate
A small batch runs end-to-end first. Only when it clears the quality bar does full production start.
AI runs, humans judge
Automation handles the volume; analysts handle the exceptions, contradictions and edge cases — and sign off every output.
Owned for the long run
Schemas evolve, data goes stale — the same team maintains it. Scale up or down month to month, no lock-in.
FAQ
Data & Analytics, answered.
Which tools do you work in?
Our data is messy and spread across spreadsheets — can you still help?
Will AI decide what the numbers mean?
Can you work inside our systems, without data leaving our environment?
Who owns the data, models and IP?
How much does data support cost?
How fast can we start?
Is our data kept private?
Get started
Ready to turn your data into decisions?
Tell us what you need to see. We'll come back with a clear, no-jargon quote — usually within one business day.