Each team sees its own queue
A job looks complete in one tool and untouched in the next.
DataGlue for Operations leaders
I need to know where the work is waiting.
One team takes the booking. Another delivers the work. A third sends the invoice. DataGlue joins the recorded steps so you can see what happened and what needs checking.
A dedicated team builds it with you. Start with one decision.
FormsBookingsCRMProject records
DataGlue
Show the formula.
Which events. In what order.
Example tagBooked work completed and invoiced
To your CRM, ads, BI, email or chosen LLM.
Connections and destinations agreed in the build.
Sound familiar?
You could fix the handoff. You just can’t find the missing step.
Customers spot the gap first
You learn a handoff broke when someone asks where their work is.
Missing and late look alike
A step may not have happened, or its record may not have arrived.
The fix lives in a spreadsheet
Someone exports and matches the same jobs every week.
A joined picture
Follow one process across its systems.
Choose the handoff you need to see. DataGlue joins its recorded events by customer or job ID, then shows the rule for a completed or stalled result.
Systems usually joined
- Forms
- Bookings
- CRM
- Project records
- Support
- Payments
Example 01
- Bookings: job booked
- Project records: work completed
- Billing: invoice issued
In this order, within 14 days, for the same job ID.
Events → tagBooked work completed and invoiced
Example 02
- Project records: job assigned
- Project records: no work started after 2 days
For the same job, after the agreed wait; check feed coverage before treating absence as a stall.
Events → tagAssigned job waiting to start
Example 03
- Support: issue opened
- Project records: corrective work completed
- Support: issue resolved
In this order, within 7 days, linked to the same issue and job.
Events → tagIssue resolved after corrective work
Example rules, not customer results. We agree source access, match keys, time windows and tag destinations in your build.
How we work
One question. Five steps with your team.
The same build process, shaped around your decision and its sources.
Book a call
Bring one question.
Talk it through with the people who would build it. We find where its data lives today.
Working session
A working session to map your data.
We map every source behind the decision, then show you what it looks like glued together. You get the scope and plan before work begins.
Build together
We connect the pieces.
A dedicated team finds the signals, glues them into one living model and matches records on evidence. Your systems stay where they are.
Go live
Your first result, ready to use.
We take the first result live in your Glue Console. Ask in plain words, see what each step read, and open the counts to their rows.
Keep building
Your team keeps the Console.
Then the next outcome builds on the same model. The rollout runs in phases, each measured against the outcome.
What you get
Useful context. In the tools you use.
One process timeline
See the handoffs across the tools that record them.
Stalls you can inspect
Open the rows behind a waiting-work tag.
Shared completion rules
Agree what done means across teams.
Clear source gaps
Check missing records before calling a job stuck.
Tags where work happens
Send the result to your CRM, email or BI route.
A build you can extend
Start with one handoff, then join the next.
See the working
Check the approach before the call.
Read the published outcome examples, source details and comparisons behind this approach. They explain the method; they are not measured results for your role.
Trusted by
Fair questions
What you might be wondering.
Couldn’t I just automate the handoff?
Yes, when the trigger and records are clear. DataGlue helps when the handoff needs facts from several systems or teams disagree on what complete means. We build the joined rule, and your existing tools can act on its tag.
Does a missing event mean the job is stuck?
Not always. It may mean the record is late or the source did not capture the step. We agree data arrival and check coverage, so your team can tell an observed stall from a gap that needs review.
Do we need a data team or clean data first?
No. Bring one question and the names of the systems behind it. A dedicated team maps the sources, joins the records and builds the result with you. Your team sets ownership, privacy and quality rules.
What does it cost, and what happens on the call?
The first call checks the outcome, the sources and the fit. No system access is needed for that conversation. If it fits, we map the data in a working session. The build is a separate engagement, scoped and priced before work begins; there is no public rate card.
Your next step
Bring the question you keep coming back to.
We’ll talk through the outcome, where its data lives and whether a build fits. No system access needed for the first call.
Book a Call
Free first call. Scope and price agreed before a build begins.
Is it a fit?
An honest fit check.
A good fit
This may suit you if…
- One process crosses teams and separate tools.
- You can identify the job, order or customer being followed.
- You want to check source gaps before acting.
Probably not a fit
This may not suit you if…
- A single workflow tool already contains the full process.
- Offline steps have no record or agreed way to capture one.
- You expect a tag to run the operation without an owner.