// pillar 04 of 08
Systems that talk and data you can trust.
APIs and application-to-application connections, plus data engineering and dashboards management can actually read.
// what it is
What it is.
// context
The problems we usually find.
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Scattered data and numbers that do not match
Store stock does not match the ERP, and the CRM customer is not the same as the one in billing.
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Integrations that fail silently
A change on the vendor side interrupts the data flow, and the failure is noticed days later — usually by the customer.
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Reports built by hand
Every analysis needs exports, spreadsheets and a dedicated person. When the question changes, it all starts again.
// scope
What we deliver.
// proof
Projects in this area.
Cases and post-mortems from our work. The post-mortems include what went wrong, by editorial choice.
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case study
We Turned Complex Insurance Rules into a Fully Automated Comparison System
A fully automated system that could search, compare, and recommend the best insurance deals for each client, using robots that perform real-time web scraping on the websites of Portugal’s leading insurers.
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case study
From Portugal to the World: Travel with Meaning
The client reached us with the idea to create a travel platform that would unite traveling, tourism with social impact, serving as a bridge between voyagers and NGOS.
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case study
Bookings Simplified
RW Interactive created a booking system that simply works anywhere. It’s flexible, scalable, and easy to use.
// frequently asked
About Integration & Data.
Can you work with an undocumented system?
That is the usual case. We observe real behaviour — data in, data out, edge cases — and produce the missing documentation before changing anything.
What if the current vendor will not cooperate?
We work with what is observable — database, files, existing interfaces — and isolate the system behind a layer of our own, reducing the dependency.
Which tool do the dashboards live in?
Whichever suits the team that will use them. What does not change is the source: a documented data model, so that two dashboards never give different answers.
// next step
Shall we talk about your case?
Thirty minutes on integration & data: you describe the problem and we tell you the path we recommend — including when that path is not us.
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Diagnosis
30 min. We identify the right pillar.
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Priorities
Explicit trade-offs · realistic phasing.
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Proposal
Scope, timeline, team and investment in writing.
