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Publicado en January 10, 2025

Generative BI: how to move beyond the hype

Generative BI (Generative Business Intelligence) is reshaping how organizations interact with their data. By leveraging advanced language models, this technology allows users to query, visualize, and analyze business information using natural language—no technical background required.

  • IT Consulting
Generative BI
Brad Aquea Autor: Brad Aquea
4 minutos de lectura

But its impact goes far beyond the technical. Generative BI is a key enabler of accessible, collaborative, and strategic analytics across all levels of an organization.

A leap beyond traditional BI

Unlike traditional BI tools, which often depend on data specialists to build reports or dashboards, generative BI empowers anyone in the business to access insights using simple text or voice commands.

This new approach dramatically speeds up tasks like dashboard creation, trend exploration, and report generation—often in a matter of minutes. The result: faster, more informed decisions without technical bottlenecks.

Generative BI in action: real-world use cases

The power of generative BI is already visible in various applications. In finance, for example, it can dynamically generate forecasts by analyzing revenue by channel, product, or customer—no manual work needed.

In HR, it identifies turnover or absenteeism patterns by cross-referencing historical and demographic data. In marketing, it processes customer feedback from multiple sources, extracting emotional sentiment and recurring topics.

These capabilities don’t just make work faster—they make it smarter. Generative BI acts as a decision-making co-pilot, offering context, comparisons, and visualizations that once took hours of manual analysis.

Real support for every team

Generative BI brings value across departments. Operations teams can optimize inventory by analyzing historical purchasing trends. Sales teams can simulate the impact of different pricing strategies on customer behavior.

Even in strategic areas like investment planning, generative BI helps pinpoint low-return initiatives by evaluating financial, operational, and customer satisfaction data.

And the best part? All of this can be done directly by the teams that need the insights—no more waiting weeks for the data team to step in.

Key benefits that go beyond trends

Here are some of the most relevant advantages of generative BI:

  • Data democratization: Non-technical users can access, explore, and visualize data with ease.
  • Speed and efficiency: Reports are generated in minutes, answers delivered in seconds.
  • Enhanced BI outcomes: Greater ability to identify patterns—even within unstructured data.
  • Resource optimization: Analysts can focus on strategic work instead of routine reporting.

In short, generative BI helps scale data analytics across the organization without overloading specialized teams.

Challenges you shouldn’t overlook

To truly unlock the value of generative BI, it’s important to address certain risks and limitations:

  1. Explainability: Some models function as black boxes. Choose tools that offer transparent reasoning—especially critical in regulated industries.
  2. Privacy and security: Use solutions that safeguard sensitive data and comply with regulations. Some platforms, like Pyramid, only process prompts—not actual data.
  3. Hallucinations: Inaccurate answers are a real concern. Training models with internal data and using techniques like Retrieval-Augmented Generation (RAG) is recommended.
  4. Data infrastructure: Without a solid foundation—including access controls, high-quality data, and integrated architecture—generative BI can't deliver on its promises.
  5. Model strategy: Multi-LLM platforms (like Pyramid) allow you to choose the right model for each task and evolve with the market.

Toward smarter, more human-centered business intelligence

Generative BI isn’t just another tool—it’s a catalyst for rethinking how decisions are made. When implemented with attention to data quality, security, and organizational design, it allows businesses to scale intelligence without relying solely on the data team.

With the right strategy, generative BI moves beyond being a pilot or tech experiment—it becomes a tangible lever for accelerating digital transformation.

Ready to implement generative BI with real business impact?

At 2Brains, we help companies design and deploy generative BI solutions tailored to real-world challenges. It’s not just about adding new tech—it’s about enabling faster, better-informed decisions.

Let’s talk. Reach out today and discover how to unlock the full value of your data with a strategy built on efficiency, insight, and organizational adoption.

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