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One person's job is copying data from system A into system B

The membership system has its data, the till has its own, and the books have theirs. It all works, but only because a person bridges the three by hand every day.

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Why this happens

It is almost never a matter of effort. These are the patterns we keep running into.

Systems were bought at different times for different reasons

Each was chosen because it was good at one job. None of those choices was wrong, but nobody designed how the three would talk.

Manual copying creates competing versions of the truth

The moment one copy is missed or mistyped, two systems hold different numbers for the same thing, and nobody knows which is right.

The vendor says it cannot be connected

Often that means not offered rather than impossible. Many systems have an unadvertised way in, or can at least export on a schedule.

How we fix it

  1. 01

    Mapping the data before connecting anything

    We first decide which system is the source of truth for each kind of data. Without that, connecting two systems only multiplies the disagreements.

  2. 02

    A direct connection where one exists

    If a system exposes a way in, data flows directly and changes land in seconds rather than tomorrow morning.

  3. 03

    A scheduled bridge where one does not

    For closed systems, data is exchanged through scheduled files. Slower, but it still removes the daily copy and paste.

  4. 04

    Failures are visible, not silent

    A broken connection says plainly what failed and which rows were left behind, then retries. The dangerous kind is the integration that goes quiet when it breaks.

What it looks like

A picture of the screen you would work in, not an illustration.

What this screen shows

  • Connection
  • Direction
  • Last run
  • Status

Case study

Fitness club chain

Situation

Membership, till, and accounting ran separately. Each morning a staff member copied yesterday's transactions between systems, and mismatched figures became normal.

What we built

Sources of truth were assigned per data type, direct connections were built where systems allowed, and scheduled bridges covered the closed ones, with alerts on failure.

Result

  • The daily copying job stopped
  • Mismatches became traceable rather than guessed at
  • Failed connections speak up instead of going quiet
  • The existing systems stayed in use without replacement

Packages

Pick the one closest to your situation. We tighten the scope in the first conversation.

Connect Two Package

Two systems bridged by a person start exchanging data on their own.

Who it is for

Companies with one obvious daily copy and paste bottleneck.

What you get

  • Data mapping and source of truth assignment
  • A connection between two systems, direct or scheduled
  • Alerts when a connection fails
  • A log of failed rows with reasons
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Data Hub Package

Every system reads the same numbers, and adding a new one no longer means adding more copying.

Who it is for

Companies with three or more systems exchanging data.

What you get

  • A central point holding the shared data
  • Connections to each system already in use
  • A status view across every connection
  • Everything in the Connect Two Package
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Questions we get asked

Our vendor says it cannot be integrated.

We check before accepting that answer. Many systems have an unadvertised way in, and if one is truly closed, almost all can still export on a schedule. If it genuinely is a dead end, we will say so plainly.

If one system updates, does the connection break?

It can, which is why failure is made visible. A broken connection reports what failed and holds the pending rows so they can be replayed after a fix, with nothing lost quietly.

Which wins when two systems disagree?

That is your decision, made before anything is connected. Each data type gets one system of record and the others follow. Without that rule, integration just spreads the disagreement faster.

How long does this usually take?

What sets the timeline is not system count but how open each one is and how clear the data rules are. A system that exposes a way in moves quickly; a closed one takes longer because it has to go through file exchange.

Problems that usually come together

Tell us the situation first

No long form. Send one message describing where you are now and we reply with a sensible next step, not a mass quote.

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