Database design
Structures, relationships and rules for storing customers, orders, documents or information specific to your business.
We design databases, organise information and connect the data your team works with. We address slow queries, migrations and records spread across tools.
We review where each value comes from, how it changes and which rules your systems should share.
We measure queries and their usage to identify changes needed in the data structure or access patterns.
We plan data movement, validation and connections so your team knows what is retained and what needs correction.
Structures, relationships and rules for storing customers, orders, documents or information specific to your business.
Processes for loading and moving data between applications, with validation and handling of inconsistencies.
Review of queries, indexes and usage patterns, with measurement of changes within the assessed scope.
Queries, reports and dashboards connected to agreed sources, with permissions and definitions for each value.
Review sources, quality, volume, access and the questions you need to answer.
Deliverable: A data map and agreed objectives.
Design, connect or migrate data and check its consistency.
Deliverable: Implementation and validation results.
Explain structure, queries, access and operational tasks.
Deliverable: A documented model and a guide for your team.
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.
We agree the project deliverables and quote any additional services you need separately.
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.
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.
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.
It can. We define the decisions they support, the source of each metric, who can access them and how information is updated.
An order, enquiry or stock change should not require updating several tools by hand. We connect your applications so data reaches the right place and you can see what happened.
If your operation relies on spreadsheets, emails and repeated tasks, we turn that process into a tool of your own. We build the data, screens and connections your team needs to work.
We design, migrate and configure cloud infrastructure for your applications. We define how to deploy, observe and recover the service, and which costs to plan for.
Tell us which systems you use and what your team struggles with. We can start with a specific source, query or migration.