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The data landscape — where most organisations start

The data landscape today

Before the platform, it's worth being honest about the starting point. The systems exist and the goals are clear — this page shows what usually sits in between.

SECTION 1

The spaghetti

Each business outcome below is traced hop by hop: which system the data leaves, who exports it, where it lands, who it's emailed to, and who consolidates it. When the numbers don't match or the version is wrong, the amber hops show it going back to a person and round again. Teal routes arrive — eventually. Red ones never do.

1 Source Salesforce CRM Xero Finance HubSpot CRM Reviews Trustpilot · Google Documents SharePoint · files 4 Act Capture and approve Power Apps Understand performance Power BI Automate actions Power Automate Notify teams Teams · Slack Happy customers the point of it all JD Jack · analyst PR Priya · finance MO Marcus · ops SL Sam · team lead Email chain CSV on Jack's laptop sales_v7_FINAL.xlsx SharePoint Copy and paste ✕ ✕

↻ run the animation again

BUSINESS INEFFICIENCIES
  1. 1Decisions wait on data — reports assembled by hand take days and are already out of date on arrival.
  2. 2Every team has its own numbers, so meetings are spent arguing whose spreadsheet is right instead of what to do.
  3. 3Hours are burned re-keying data between systems, and the copying introduces the errors customers end up seeing.
  4. 4Risk hides in the gaps: duplicate payments, supplier rate creep and compliance issues surface only after the money has gone.
  5. 5Knowledge lives in inboxes and personal drives — when someone leaves, the answers leave with them.
  6. 6AI and automation are out of reach, because there is no trusted, governed foundation for them to run on.