by Vinícius Rodrigues

Data organization and integration

Organized data for your systems and reports.

Connect spreadsheets, ERP, CRM, and databases. Standardize information and monitor quality before the numbers reach your reports.

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A scope tailored to you

What you receive

The proposal defines your deliverables, boundaries and acceptance criteria.

01

Source connections

Map access options and integrate through files, APIs, or database queries.

02

Preparation and standardization

Rules for codes, dates, records, required fields, and duplicates.

03

Quality and refresh

Validate data loads, log unresolved issues, and document transformations.

Applications to explore

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Open a project to explore its workflows, rules and decisions.

01E-commerce · ERP and payments

Concilia

Orders and payments, record by record.

  • Raw input preserved
  • Exception correction
  • Idempotent reprocessing
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02Sales · Master data

Elo

Consistent customer records across CRM and ERP.

  • Raw input preserved
  • Exception correction
  • Idempotent reprocessing
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03Distribution · Catalogue and stock

Pulso Dados

Catalogue synchronisation with an exception queue.

  • Raw input preserved
  • Exception correction
  • Idempotent reprocessing
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Independent project / Integration and quality

Connected data

Every source preserved. Every exception with a reason for review.

ContextB2B distributionReference operationMidsize businessFormatInteractive prototype

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The thinking behind the project

From context
to solution.

01 / The problem

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.

02 / The approach

How the project addresses it.

Data preparation applies explicit rules for formatting, required values, and duplicates. Validated records are ready for use; unresolved issues remain traceable.

03 / Validation

What needs to be checked.

Check input and output counts, verify relationships, and ensure exceptions are not discarded without a record.

How delivery works

Clear steps.
Shared decisions.

  1. 01

    Understand the sources

    Inventory fields, refresh frequency, and relationship keys.

  2. 02

    Apply the criteria

    Standardize information using documented rules.

  3. 03

    Check the data load

    Validate volumes, relationships, and exceptions before use.

What we need to get started

Sample sources, record identifiers and the required refresh frequency. We agree on quality rules and how to handle exceptions.

Before getting started

Common questions.

Can you connect my ERP or CRM?

I assess the system’s export, API, and database access options, along with the permissions required.

Is incorrect data deleted?

Data preparation should preserve traceability. Unresolved issues can be set aside for review, following the rules defined with the team.

How are timing and cost determined?

After reviewing your goal, available materials and required integrations, I prepare a proposal with stages, timing and cost. Scope changes are agreed before implementation.

What happens after delivery?

Usage guidance and support terms are described in the proposal. Maintenance, enhancements and any recurring hosting, licensing or external service costs are defined for the solution.

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Could a similar project
work for you?

Tell me how your operations work and what you would like to improve.

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