Where work gets stuck.
Sales, inventory, and finance use different codes and formats. Duplicates and empty fields are mixed in with records ready for analysis.
Data organization and integration
Connect spreadsheets, ERP, CRM, and databases. Standardize information and monitor quality before the numbers reach your reports.
Independent project / Integration and quality
Every source preserved. Every exception with a reason for review.
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Let's talk about this projectERP · CRM · Spreadsheets
| Source | Original code | Standardized code | Status | Rule applied |
|---|
Demo data · The table shows a sample of six records from the illustrative batch.
The thinking behind the project
Sales, inventory, and finance use different codes and formats. Duplicates and empty fields are mixed in with records ready for analysis.
Data preparation applies explicit rules for formatting, required values, and duplicates. Validated records are ready for use; unresolved issues remain traceable.
Check input and output counts, verify relationships, and ensure exceptions are not discarded without a record.
A scope tailored to you
Map access options and integrate through files, APIs, or database queries.
Rules for codes, dates, records, required fields, and duplicates.
Validate data loads, log unresolved issues, and document transformations.
How delivery works
Inventory fields, refresh frequency, and relationship keys.
Standardize information using documented rules.
Validate volumes, relationships, and exceptions before use.
Before getting started
I assess the system’s export, API, and database access options, along with the permissions required.
Data preparation should preserve traceability. Unresolved issues can be set aside for review, following the rules defined with the team.
Let's talk
Tell me how your operations work and what you would like to improve.