Organised data that helps your operation find answers

We design databases, organise information and connect the data your team works with. We address slow queries, migrations and records spread across tools.

When data exists but is difficult to use

Reports show different numbers

We review where each value comes from, how it changes and which rules your systems should share.

Slow queries hold up the team

We measure queries and their usage to identify changes needed in the data structure or access patterns.

You need to change systems or combine information

We plan data movement, validation and connections so your team knows what is retained and what needs correction.

What we build around your data

Database design

Structures, relationships and rules for storing customers, orders, documents or information specific to your business.

Migration and integration

Processes for loading and moving data between applications, with validation and handling of inconsistencies.

Queries and performance

Review of queries, indexes and usage patterns, with measurement of changes within the assessed scope.

Information for decisions and operations

Queries, reports and dashboards connected to agreed sources, with permissions and definitions for each value.

From scattered sources to a clear structure

  1. Understand the data and its use

    Review sources, quality, volume, access and the questions you need to answer.

    Deliverable: A data map and agreed objectives.

  2. Build and validate

    Design, connect or migrate data and check its consistency.

    Deliverable: Implementation and validation results.

  3. Deliver and document

    Explain structure, queries, access and operational tasks.

    Deliverable: A documented model and a guide for your team.

An example data project

Sales and operations keep separate customer and order records. The project defines shared identifiers, update rules and checks to prepare a consistent report. This is an illustrative example of data integration and organisation.

What the proposal defines

We agree the project deliverables and quote any additional services you need separately.

What it includes

  • Source assessment and definition of the required model or change
  • Development of agreed structures, queries or processes
  • Data validation and testing of included tasks
  • Documentation and handover to the responsible team

What it excludes

  • Historical cleanup or recovery beyond the scope
  • Licences, infrastructure and provider consumption
  • Ongoing administration, support or new data sources

Frequently asked questions

Can you work with my existing database?

We review its engine, structure, access and the issue you want to solve. We can work on existing databases or design a new one according to the project.

Which technologies do you use?

We work with relational databases such as PostgreSQL and solutions such as MongoDB or Redis according to the information and its use. Selection follows the system’s requirements.

Can you migrate data containing errors?

We first identify inconsistencies and agree rules for handling them. The proposal separates migration, validation and cleanup so it is clear what gets corrected and what needs a business decision.

Does it include reports or dashboards?

It can. We define the decisions they support, the source of each metric, who can access them and how information is updated.

Services that can support your project

Which information do you need to find, connect or correct?

Tell us which systems you use and what your team struggles with. We can start with a specific source, query or migration.