RUMAZA Studio
Solution

Data & Dashboards

A dashboard is not a pretty chart. It's a decision system: reliable data, well-defined metrics and a reading that tells you what's happening, why it's happening and what to do next. If you're currently deciding "by eye" or fighting with Excel, here's the alternative.

What it solves

Problemas

Typical problems

  • "I have data, but I don't know what's happening."
  • "Each person has their own Excel and no one agrees."
  • "I spend hours preparing reports, and when I have them they're no longer valid."
  • "I look at metrics, but they don't influence decisions."
  • "I don't know if my data is correct or if there are errors."
Resultado

Result

  • Defined and consistent KPIs: we all speak the same language.
  • Clean and traceable data from the source: you know where each number comes from.
  • Panel with clear reading for management and operations: fast decisions, without interpretations.
  • Automatic alerts and reporting: you act when it matters, not when you remember.
  • A single source of truth: no more duplicate Excel files and contradictory versions.

What it includes

01
1) Diagnosis
I understand your business and your data sources (Excel, ERP, CRM, ecommerce, APIs). We define metrics with clear names: what is "sale", what is "margin", what is "lead", etc. No ambiguities, no interpretations.
02
2) Data pipeline
Extraction, transformation and basic validations. If the data is broken, the dashboard only masks the problem. Here we fix the base: clean, consistent and traceable data from the source.
03
3) Dashboard
Visualization with hierarchy: first what's important, then the detail. Less "color chart", more actionable reading. A panel that tells you what to do, not just what happened.
04
4) Documentation + delivery
What each KPI measures, where the data comes from and how it's maintained. If you want continuity, we propose maintenance. The goal is for it to work tomorrow, not just today.

Typical stack

We choose tools for reliability and maintainability. Not for fashion.

Data

Python, SQL, validations, light ETL. What's necessary for data to be reliable, not just pretty.

Sources

APIs, CSV/Excel, MySQL/PostgreSQL, business tools (CRM, ERP, ecommerce). We connect what you already use.

Visualization

Clear dashboards + reporting. Tool according to case: from Metabase to custom solutions. What matters is that it works, not the brand.

FAQ

Is this "BI" or a dashboard?

It starts as a dashboard (what you need to decide) and, if it makes sense, we evolve to more complete BI. The priority is that it serves you tomorrow, not that it sounds impressive today.

What if my data is wrong?

Better: that's how the source is corrected. A panel without data quality only gives you false confidence. Here we fix the base first, then visualize.

How long does it take?

Depends on sources and cleaning. In the diagnosis (48h) I mark a closed scope and realistic deadlines. No surprises, no "almost done".

Can reporting be automated?

Yes: alerts, periodic reports and actionable "summaries". Less screenshots, more decision. If something changes, you know immediately.

Do I need technical knowledge?

No. I take care of the technical part. You only need to know what you want to measure and what decisions you want to make. The dashboard shows it clearly.

If you give me context, in 48h I'll give you clarity

What to measure, what sources to use, what to automate and what dashboard to build first to have impact. No smoke, no PowerPoints, just clarity.