What does this number count?
We document how orders, revenue and qualified inquiries are defined, the reporting period, and how cancellations and duplicates are handled. Changes in definitions are flagged in comparisons over time.
DATA LINEAGE & VALIDATION / web all in.When the numbers differ,
Data integration and validation
When the numbers differ,
know where to look.
Ad-platform purchases versus order records. Submitted inquiries versus the sales team's figures. We connect web, ad, app and CRM data, distinguish duplicates, cancellations and delays, and help your team make decisions without spending the meeting reconciling numbers.
Discuss data integration for your teamFrom a screen full of numbers to reporting that can explain them.
TRACE THE NUMBER. THEN TRUST THE VIEW.Beyond attractive charts,
Beyond attractive charts,
numbers your team can explain.
We do not force the numbers to match across reports. We explain the differences and establish which data can support a decision.
Data connection/verificationexample data
When the purchase event and firm order are different.
Aggregation example matching order identifier and cancellation status
Purchase records collected128
confirmed order1133 items need a separate check
Records to reconcileHow we handle them and why
canceled order8 cases
Excluding
Reconcile with order status
Duplicate purchase records4 cases
Excluding
The same order collected more than once
No matching source order verified3 cases
hold
Keep separate from confirmed revenue
Exceptions remain visible as items for the owner to verify.
Judgment after verification
Recorded purchases are not automatically counted as revenue results.
We separate cancellations, duplicates and unverified records, reporting what can be confirmed. When source data becomes available, we recalculate using the same definitions.
Order reconciliation records · Items awaiting verificationCommerce operation/data manager
These screens and figures illustrate aggregation and validation methods. They are not actual client data or measured improvements.
GA4 reports, APIs and raw data can use different processing methods. We document a basis for explaining those differences, rather than aiming only for matching totals.
BUILT FOR THE NEXT UPDATE.Make today's numbers
Make today's numbers
explainable tomorrow, too.
Products, campaigns and systems keep changing after the first report. We establish operating standards for checking changes and exceptions.
Which data is connected?
We check available API fields, access permissions and the scope that shared identifiers can connect. Unlinked data remains clearly marked.
What is still unconfirmed.
We separate delays, missing data and format changes from normal aggregation, recording affected periods and metrics, responsible owners and reprocessing results.
Even if the person in charge changes.
We document data flows, metric definitions, permissions, refresh scope and exception handling so operations teams can trace the numbers to their sources.
YOUR STACK. A SHARED STANDARD.Start with your current setup.
Start with your current setup.
Add what you need.
We can improve existing tools, build dedicated interfaces or connect data sources. Each approach includes records of sources, definitions, refreshes and validation.
Improve existing reports
Add traceable evidence to the reports you already use.
We compare charts in your existing reports, including Looker Studio, with their source data. We start with the numbers your team asks about most, clarifying definitions, filters and refresh status.
Who this helps
A team that has reports but double-checks the numbers at every meeting.
What we configure together
- Contrast key charts with source material
- Common standards for indicators, filters, and aggregation periods
- Visible refresh status and values requiring attention
Documentation and deliverablesIndicator definitions · Revised reports · Comparison records
So that we can talk while looking at the same screen, and if differences arise, we can check the basis for them.
A dedicated interface for your company
Design screens based on the decisions your team will make.
When questions differ by product line, country or sales stage, we create a dedicated interface. Users can move from the overview to the sources and exceptions behind individual metrics.
Who this helps
Teams where different departments need data tailored to their roles and access rights
What we configure together
- Status/comparison/detailed confirmation screen for each role
- Data connection using common definitions
- Configure access rights and review/sharing scope
Documentation and deliverablesDedicated dashboard · data flow diagram · operating document
Keep executive summaries and the details used by teams grounded in the same data.
APIs and data infrastructure
From manually merging files to connected data.
We verify access and available data from website, advertising, app, CRM and order systems, then connect them to fit your environment. Missing data and format changes have a clear path for investigation.
Who this helps
Teams repeatedly merging files or using the same data in several interfaces
What we configure together
- Integration targets · Shared identifiers · Refresh scope
- Distinction between duplication, omission, and connection failure
- Agree on the scope of reprocessing and change verification
Documentation and deliverablesLinked data · Exception list · Update · Verification record
Add reports without recreating inconsistent definitions and manual work for each one.
At the next meeting,
which numbers will you need?
Ad conversions, CRM inquiries and order revenue.
We start by explaining why the same period produces different numbers.
current data
Search/Advertisement / Web/App / CRM·Order
Reporting and decision standards
Discuss data integration and validationClear definitions behind the numbers.
A stronger case for your next investment.
Definitions to agree before connecting data.
How are data services connected to this solution?
The Data service covers custom dashboards, API integration and ongoing support. This solution underpins that work by validating sources, metric definitions, refresh status and exceptions. It connects building an interface with keeping its numbers trustworthy.
Should I change my existing Looker Studio or CRM?
We start with your existing systems and access rights, then choose the required scope: improving reports, creating a dedicated interface or connecting APIs and data. The same data can support different views and sharing permissions for different roles.
If the numbers are different, which report is wrong?
Metrics with the same name may use different periods, time zones, attribution, modeling, and rules for duplicates or cancellations. GA4 reports, APIs and raw data can also be processed differently. We compare definitions before calling a difference an error, separating valid differences from discrepancies under the same rules.
What do I do if data comes in late or the connection is lost?
We identify the last successful collection, missing periods and affected metrics. Unverified values are not treated as zero or normal results. We check sources and connections, then reprocess within the agreed scope. Refresh schedules and support are defined around each system's access terms and operational needs.