DataGlue

A common problem / a joined result

Our reports don't agree

Give a disputed number one shared rule, with the records behind it.

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Talk through the sources behind your question.

01 / The symptom

Sound familiar?

Marketing counts enquiries. Sales counts signed deals. Finance counts paid invoices. You spend the meeting checking whose number is right instead of deciding what to do.

02 / Why it happens

The pieces live apart.

Each system holds a different step and may use a different date or definition. Without a shared customer key and a rule for the result, two accurate reports can answer different questions.

Separate systems / separate pieces
  1. CRM

    The signed deal

  2. Billing

    The invoice

  3. Warehouse

    The payment record

Each source has a piece. The join gives the pieces a shared meaning.

03 / What changes with DataGlue

One rule. A useful result.

Example rule / events → tag

  1. CRM: deal signed

  2. Billing: invoice issued

  3. Warehouse: payment recorded

In this order, within 30 days, on the same deal and customer ID.

Resulting tag

Signed deal paid within 30 days

Illustrative rule. Sources, match keys and timing are agreed in the build.

What you get

  • An agreed meaning for the result.
  • The linked events behind the tag.
  • A shared tag for your BI or reporting tools.

Systems usually joined: CRM, Billing, Warehouse. The team checks the records, match keys and destination with you.

04 / Who feels it

A question that crosses teams.

Leaders, finance teams and analysts who need to agree on what a result means.

05 / Questions before the build

Good questions. Clear answers.

Does this mean one of our reports is wrong?

Not necessarily. One report may count deals while another counts payments, or use a different time window. The first job is to agree which question the shared result should answer.

Do we have to replace our dashboards?

No. DataGlue can send the resulting tags and context to the BI or warehouse route agreed in the build. Your analysts can keep the views they use.

What if our records do not match?

The team checks the available keys and identity evidence. Uncertain links stay visible; missing records are not treated as confirmed matches.

06 / Keep exploring

Follow the next piece.

Build it with us

Bring the problem. We'll map the pieces.

A dedicated team checks the sources, defines the result and builds it with you. Scope and price are agreed with the team.

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