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Peak Atlas

Problem · Duplicate data

Four spellings. Four statuses. None is quite right.

Duplicate data isn't a maintenance mistake. It inevitably arises when every tool creates its own copy of a customer, product or project.

Duplicate and data cleanup check

Where do they come from your copies?

Answer five questions about your customer data. The result names the most likely source of duplicates and the smallest next step.

01How does a new customer get into your systems?
02How do you tell that two entries are the same customer?
03What happens when an address or contact person changes?
04Who is responsible for the quality of customer data?
05How often do you import lists, for example from trade shows or forms?

0 of 5 answered

Your result

Answer all questions. Then this shows where the problem probably starts and which small step helps first.

Assumptions and limits

  • The check shows the most likely cause. It does not search your data for duplicates.
  • The questions are tailored to customer data. The same patterns apply to products or suppliers.

Your entries stay in this browser. Nothing is saved or sent.

How it looks today

The same customer. In four tools.

Today · four truths

  • CRM

    Müller GmbH

    Contact: A. Weber

  • Table

    Mueller GmbH

    Revenue 2025: ?

  • Task tool

    Customer Müller

    Send quote (overdue)

  • Accounting

    Müller GmbH & Co. KG

    Invoice open

✕ Four spellings, four versions, none quite right.

In Peak One · one reality

Müller GmbHCompany · one identity
  • BoardTask “Send Q4 quote”
  • Dayheute, 10:00 eingeplant
  • ConnectAnna Weber works here
  • Cashflowopen invoice
  • Ask Peak“What's open at Müller?”

✓ Changed once, current everywhere.

The same customer, saved once: Board, Day, Connect, Cashflow and Ask Peak show the same row. Sample data for illustration.

What it costs

Every copy outdated differently.

  • The contact person changes, but only in the CRM.
  • The invoice is paid, but the task tool keeps sending reminders.
  • Reports count the same customer twice because they exist twice.

Understand the causes

Four ways, how duplicates arise.

  1. 01

    Double entry

    How you'll notice
    Sales and accounting each create the same customer themselves.
    Why it happens
    There is no system where a customer is created first.
    What helps
    Set one leading system for customers; all others take over from there.
    Limit
    When tools can't take over data, retyping remains, but only with a clear template.
  2. 02

    No shared key

    How you'll notice
    No tool knows that two entries mean the same company.
    Why it happens
    Names and spellings change; without a number, there's nothing fixed to match against.
    What helps
    Assign a customer number and keep it in the same field in every tool.
    Limit
    The number only helps if it's updated with every new entry.
  3. 03

    Imports without reconciliation

    How you'll notice
    After every trade fair, known contacts show up a second time.
    Why it happens
    Lists are imported without checking them against existing records first.
    What helps
    Before every import, match by email address and merge hits instead of creating new records.
    Limit
    People with several email addresses still slip through.
  4. 04

    Nobody is in charge

    How you'll notice
    Errors are noticed but not corrected.
    Why it happens
    Everyone is responsible for data upkeep, and so no one is.
    What helps
    Name one person who merges duplicates monthly.
    Limit
    Cleanup treats symptoms. The source of the duplicates remains until the other three causes are resolved.

The difference

Map instead of copying.

In Peak One, every object exists exactly once: person, company, task, project, product. When a record comes from another tool, it is mapped. A Shopify product becomes a Peak product, and the Shopify ID stays as a reference.

Statements about an object carry source, confidence and validity. Enriched data, for example from Apollo, stays identifiable as a source and does not overwrite confirmed facts.

One identity

One company, many sources.

Müller GmbH
  • Company, dealsHubSpot · assigned
  • HistoryGmail · assigned
  • Invoicessevdesk · assigned
  • TasksPeak Board · native
One object, one identity: every app reads and writes the same row.

Ways to solve it

Tidying up helps. Avoiding helps for longer.

Ways to fix duplicate data, compared
WayEnough ifLimit
Merge duplicates by hand regularlyYou have a few hundred customers and one person with dedicated time for it.Treats symptoms; new duplicates keep appearing.
Shared customer number across all toolsYour tools have a free field, and the team reliably enters the number.Depends on discipline; imports bypass it easily.
Duplicate feature in the CRMAlmost all customer data is in one CRM.Works only inside this tool, not in accounting or projects.
Peak OneData from several tools should be matched to the same objects instead of copied.Existing duplicates in the source systems are cleaned up there, not by Peak One.

Peak One in action

From the duplicate to the one customer.

  1. TriggerIs this the same customer?
  2. 01 · RecordSignalData Quality answers whether you can trust your numbers.
  3. 02 · CustomerUnderstandingCustomer Identity Resolution shows whether the same customer is recognized across all systems.
  4. 03 · PersonDecisionIn Connect, the customer exists once; contacts from connected tools are matched to her instead of copied.
  5. 04 · TaskActionWhat has to be cleaned up in the source system becomes a task in Work with an owner.
Result: New data lands with the customer who already exists.

The apps for it

Available in Peak One.

Three steps

Fewer duplicates. From the next entry.

  1. 01 / 03

    Set the leading system

    Decide where a customer is created first. All other tools take over from there.

  2. 02 / 03

    Assign keys

    Give every customer a number and keep it in the same field in every tool.

  3. 03 / 03

    Check imports

    Before every import, match by email address. Merge hits, don't create new records.

Frequently asked questions

Briefly answered.

How do I find duplicates in a spreadsheet?

Sort by email address or phone number instead of name. Identical addresses next to each other are almost always duplicates, even if the name is spelled differently.

Does Peak One clean up existing duplicates?

Peak One maps connected records to central objects instead of creating new copies. How existing duplicates in your source systems are merged depends on the tool in question.

What happens when two sources contradict each other?

Statements carry their source and confidence. Confirmed facts are not overwritten by enriched data.

Keep exploring

Welt Scale

✦ A Peak principle

Context is capital. Everyone has names.

Where from, what for, when last

More problems

Typical bottlenecks in growing companies, each with a tool you can try right away, the causes, and the path Peak One provides for it.

Solve it once. The rest follows.

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