Basics of Data Analysis with AI: From data to smart decisions

Data is everywhere. Every time a customer makes a purchase, fills out a form, browses a website, or interacts on social media, information is generated. However, many companies accumulate large volumes of data without really knowing how to leverage it.

Data analytics with AI is emerging as an innovative solution for turning data into useful, accessible, and actionable knowledge.

This blog is a simple introduction to this topic, designed especially for those without technical experience who want to start understanding and using their data more efficiently.

What exactly is data analytics with AI?

AI data analytics is the application of intelligent algorithms that allow for the automated exploration of large amounts of data.

Unlike traditional analysis, which can be slow and manual, artificial intelligence streamlines processes, identifies complex patterns, and delivers insights in real time.

This means that AI not only tells you what happened (descriptive analytics), but it can also help you understand why it happened (diagnostic analytics), what might happen in the future (predictive analytics), and what you should do about it (prescriptive analytics).

How does data analytics with AI work in simple terms?

Although advanced models such as machine learning, natural language processing, or neural networks are used behind the scenes, for the end user the experience can be as simple as asking a question in everyday language.

Let's look at a practical example:

Imagine you have an online store and want to know which products have seen a drop in sales over the last three months. With an AI-based tool, you could simply type:

"Which products had the least sales between March and May?"

In seconds, the platform analyzes your sales data, identifies the underperforming products, and shows you a clear and straightforward visual summary. It can even suggest you investigate whether there were inventory issues, price changes, or loss of visibility.

All of this, without having to run complicated database queries or rely on the IT team.

What benefits does data analytics with AI offer?

The advantages of incorporating AI into data analysis are numerous, even for small or medium-sized businesses. Some key benefits include:

Agile decision-making

You can view data in real time and respond quickly to market changes, without having to wait for monthly reports or manually analyze spreadsheets.

Autonomy for non-technical teams

Areas such as sales, marketing, or finance can directly access the information they need by asking questions in natural language. This eliminates constant dependence on the IT team.

Greater accuracy and fewer errors

AI processes large volumes of data consistently and without human error, ensuring more reliable information for decision-making.

Detecting Hidden Opportunities

Often, the most important patterns are hidden in the data. AI can detect complex relationships between variables that would be impossible to see with the naked eye.

Behavioral Prediction

With predictive algorithms, you can anticipate customer needs, detect potential risks, or plan more precisely.

What types of analytics can you do with AI?

Descriptive analytics: What happened? (e.g., "Sales by region last quarter")

Diagnostic analytics: Why did it happen? (e.g., "What factors affected the sales decline?")

Predictive Analytics: What might happen? (e.g., "Which customers might abandon the platform?")

Prescriptive Analytics: What should we do? (e.g., "Which campaign can improve customer retention?")

This comprehensive approach allows companies to move from simply observing data to using it as a driver of growth.

What if I don't have technical knowledge?

The good news is that today there are accessible tools designed for non-technical people. These solutions prioritize the user experience and use user-friendly interfaces with conversational assistants that understand simple questions.

For example, you can ask:

• "What is the best day to run promotions?"
• "Which product has the best profit margin?"
• "What is the sales trend this month regarding to the previous one?"

The system responds in seconds, displaying graphs, percentages, or clear explanations.

Rootstack and Rootlenses: A smart solution for non-technical teams

If you're looking to start exploring your data without complications, Rootstack, a trusted provider of artificial intelligence solutions, has created a platform specifically designed for companies like yours: Rootlenses.

Rootlenses is a SaaS platform that allows you to connect your internal databases and make queries directly in natural language, as if you were speaking to an expert. You can ask simple questions about your operations, customers, or sales, and the platform will give you immediate answers with clear insights to make better decisions. decisions.

Most importantly, Rootlenses is designed for non-technical teams, such as marketing, finance, or general management, who need to access information without relying on IT. This gives you autonomy, speed, and clarity, in a secure and easy-to-use environment.

In addition, by detecting trends and offering Smart suggestions, Rootlenses turns your data into a true competitive advantage.

Data analytics with AI is not a luxury reserved for large corporations. Today, any company can benefit from this technology to better understand its environment, optimize resources, and make decisions based on real information, not assumptions.

If you're ready to transform your data into useful knowledge and empower your team with accessible tools, Rootstack and its Rootlenses platform are ideal strategic partners to take that first step toward smarter and more agile use of information. Contact us.

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