Ten logins and no answer
Sales lives in HubSpot. Marketing lives in Mailchimp and Google Ads. Support uses Zendesk or Freshdesk. Projects run in Asana or Monday. Finance is in Xero, payments in Stripe, contracts in DocuSign, and staff time in Harvest. Each tool has its own dashboard and each dashboard looks healthy.
Then someone asks which marketing channel brings customers who stay longest and pay most. That needs Google Ads, HubSpot, Stripe and Zendesk at once, and none of them can see the others.
The problem is not having too many tools
Specialist tools are usually good at their jobs, and forcing everyone into one all-in-one platform often makes each team's work worse. The trouble is that each tool keeps its data inside itself and reports only on what it can see.
Point-to-point integrations built in Zapier or Make move records between tools for day-to-day processes. They are not designed for reporting. They copy what is needed at a moment, not the full history, and they multiply quickly: ten tools can mean dozens of little automations, each a possible failure.
| Approach | Good for | Weak at |
|---|---|---|
| Each tool's own reports | Questions within one team | Anything crossing teams |
| Zapier or Make links | Moving a record to the next step | History and reporting |
| Central reporting database | Questions across the whole business | Real-time actions |
What the scattered picture costs
Cross-team questions go unanswered or get answered by hand. Teams optimise for their own tool's metrics, such as marketing celebrating leads while sales complains about quality, because nobody can see the full journey. Licence costs creep up because nobody can see which tools are really used.
There is also a risk angle. If a SaaS vendor changes its plan, gets acquired or closes, the history held in that tool may be hard to get out. A central copy protects you.
Some tools also keep only a limited window of history on cheaper plans, or summarise older data. Without your own copy, the detail you might want in two years simply stops existing.
How we bring the tools together
- We list every tool, what it holds, whether it has an API, and what questions need its data.
- We set up extraction from each API into one database. For common tools we may use a connector service such as Fivetran or Airbyte where that is cheaper than custom code; for the rest we write connectors in Python.
- Raw data lands untouched, with history kept, so we can always reprocess it.
- We build linking tables: one customer across HubSpot, Stripe and Zendesk; one campaign across Google Ads and the CRM.
- We model the joined data into tables that answer the cross-team questions, with definitions written down.
- Reporting sits on top in Power BI, Looker Studio, Metabase or a custom page, and scheduled checks alert a named person when a connector fails or an API changes.
We do not ask teams to change tools. If you later swap one, only its connector changes and the reports keep working.
One picture, same tools
Each team keeps working in the tool it knows. Management gets one set of reports that follow a customer from first ad click to payments and support. Questions that used to need four exports become a page or a filter.
You also have a copy of your own history outside every vendor, which makes switching tools later much less painful.
Signs you have outgrown tool-by-tool reporting
- Every team has a dashboard, but none of them agree
- Cross-team questions need exports from three or more tools
- You have a growing pile of Zapier automations and nobody owns them all
- Nobody is sure what history you would keep if a vendor closed