Data & Business Intelligence

Interactive reports that help you understand what's happening and decide better.

Why Data Matters

Every business generates a huge amount of data across every area and process involved in its operation: an e-commerce store with every click or purchase, a physical shop with every sale, a factory with every sensor reading, a clinic with every patient seen. Millions of data points are produced every second today. Every app we use, every movie we watch, every product we buy leaves a trail of information. It's estimated that 80% of the world's data was created in just the last two years. That data holds real value and huge opportunity for businesses that know how to use it.

Data is, without question, the new oil of the 21st century. But just like crude oil, it only becomes valuable once it's refined...

What Is the Knowledge Hierarchy?

It represents the path data has to follow to reveal everything it holds: turning raw information into knowledge, and that knowledge into action inside a business. In the world of Business Intelligence, understanding this hierarchy is essential:

1. Data: The fundamental building blocks — on their own, they create no value.
2. Information: Data that has been organized and processed to provide context.
3. Knowledge: The interpretation of information that reveals patterns and insight.
4. Wisdom: Applying that knowledge to make sound, strategic decisions.

At Sabiduria.ar, we understand the importance of every level in this chain, and we apply this approach across our services to help you turn your data into wiser decisions.

How We Do It

Business Analysis

We take a deep look at what the business does and how its model works. What does it sell? How does it make money? What are its main products or services? Who are its customers? We map out its areas and processes, and identify workflows, pain points and operational bottlenecks — along with the sector and competitive landscape it operates in, among other things.

Data Exploration

We map existing data sources: what kinds of data are being generated, by which systems, how they're collected and in what formats they're stored — assessing the quality of the "raw material" before designing any plan, data model or report. The time and effort a project ultimately takes depends heavily on the state of the existing data.

KPI Definition

We identify every key indicator, from the most strategic to the most operational. We ask ourselves:
What do we want to measure?
What do we want to improve?
What reports does each area produce today?
How often are they updated?
Who owns each report?
What data does each indicator actually need?

Cleaning & Modeling

Data Profiling: Diagnosing data quality and volume.
Entity-Relationship Diagram (ERD): Defining the business's entities and relationships.
Logical Model: Implementing the ERD as normalized tables and columns.
Cleaning/Transformation: Removing duplicates and unifying formats.
Physical Model: Building the Data Warehouse/Data Marts with proper indexing.
Monitoring: Ongoing checks on data quality and freshness.

Interactive Reports

We build dynamic dashboards that bring insights to life:
Analytics platform: Power BI, Tableau or another, depending on your ecosystem.
Custom dashboards: For shareholders, executives, teams and more.
UX & storytelling: Strategic choices of charts, color palette, insight narration and a mobile version so you can check your data anywhere.
Updates: Automatic data synchronization.
Alerts: Real-time, custom notifications.

Monitoring & Continuous Optimization

We make sure every update runs correctly and set up alerts for any data errors. We identify improvements from satisfaction surveys and user feedback, and bring in new technologies and market trends to keep the system accurate and up to standard.

Interactive Reports

Ready to get the most out of your data?

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