Data readiness calculator

What is your disconnected data costing you?

You can't easily say who works where, which customers actually make money, how a job is really tracking, or what you spend with each supplier, because that data is split across systems that don't agree and your team reconciles it by hand. Answer a few quick questions and this free data readiness assessment shows what that's costing you a year, and where to start. Every number is your own.

Employees

Industry

Companies, entities, or locations

Which record is the biggest mess?

People Customers Projects Vendors

Step 1 of 3

Data readiness score: 0/100

Estimated annual drag

manual work a year

in software

Your full report adds

What your score means
What to fix first
A report to forward to your sponsor

Where should we send your report?

By requesting your report, you agree to Pivotly's privacy policy and to receive occasional updates.

Your report is on its way.

Want us to walk it on your own systems?

See it on your systems →

What you've tried

Everything you've tried moved the problem somewhere else

Your reports break and the numbers never tie out because the source data was already wrong before it reached them. You've probably priced at least one of these. Here's where each one moved the problem instead of fixing it.

Into the reports

Fabric and Power Apps

A warehouse and a way to build apps. Its pitch is zero copy: read every version where it lives. But reading the mess faster isn't reconciling it, so the wrong data just lands in prettier dashboards. You still own the mappings, the pipelines, and the Microsoft bill.

To a data team

MDM tools

Informatica, Reltio, and Profisee master one domain at a time, on a timeline and budget that assume a standing data team. Most companies your size don't have one.

Between systems

Integration tools

Workato, Boomi, Celigo, and Power Automate move data between systems. They don't decide which record is right, so the wrong data just travels faster.

Fixes it at the source

Pivotly

One shared record across every system you run, agreed and written back to the source. We prove it on your data before you pay.

Everybody else is capitalizing on your data problem. We save you money by getting rid of it.

How Pivotly fixes it

Every system, one shared record

1
Assess
We map your entities and the systems each one runs.
2
Connect
We connect to those systems where they are, in your own environment.
3
Reconcile
The same employee, customer, and vendor become one record.
4
Expose
Your reports, your close, and any AI you point at the data read from that record.
5
Expand
The next entity or system plugs into the same record, so each one is faster.

Your systems stay where they are. Pivotly works with them and turns what they disagree on into one record you can trust, on the systems you already run. Nothing gets ripped out, and nobody relearns their tools.

The same vendor, three systems, three spellings

Acme Co.

ACME CORP

Acme Corporation

Acme CorpOne record

Works with the systems you already run

Risk-free

Everybody else charges you up front. We prove it works before you pay.

Pick your worst pair of systems. We reconcile them on your own data first, so you see the result before you spend anything.

Prove it first

We reconcile your two messiest systems on your data and show you the output. Not slideware, your own records.

A working draft in a week

You see a working draft on your own data in the first week, not next fiscal year, so the payoff shows up fast.

Nothing due until week six

Billing starts at week six, and only once it's working. Cancel before then and you owe nothing.

See it on your systems →

FAQ

Questions buyers ask before they run it

Quick answers before you put a number on your own data.

You get your results on the spot: your estimated annual drag, a data readiness score, how much of it you'd get back, and where to start. No sales call to see it. We also email you the link, so you can come back to it or forward it to your team.

From what you enter. The estimate uses your own system counts, headcount, and spend, with conservative industry benchmarks only where you skip a field. It's directional, meant to size the problem rather than quote it, and the report lists every assumption.

Fabric is a strong warehouse and reporting layer, and its pitch is zero copy: read every version where it lives. But reading them faster isn't the same as making them agree. Fabric doesn't decide which record is right, so the disagreements remain and you still own the mappings and the licensing. Reconcile first into one shared record, then report on data that already agrees.

No. Pivotly works with the systems you already run and reconciles them into one record. Every system stays in place, nothing gets torn out, and nobody has to relearn their tools.

You see a working draft on your own data in about a week, and nothing's due until week six. You pick one pair of systems, we reconcile them, and you see the result before you pay. If it doesn't work, you owe nothing.

It runs in your own environment and your data stays there. Pivotly is SOC 2 compliant. Every change is versioned and audited, a person approves record changes, and you control who sees what down to the field. You own the mappings and the reconciled record.

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