How AI Skills Turn Everyone into an Analytics Powerhouse

The End of "I'll Need to Ask Our Data Team"

We've all been there. You're in a critical meeting discussing campaign performance, market trends, or customer behavior, and someone asks a question that would require diving into the data. The response? "Great question. I'll need to ask our data team and get back to you." Days later, you might receive that analysis—long after the momentum of the conversation has faded.

What if you could get those answers immediately, during the meeting, without writing a single line of code?

This is the reality Vertesia's Skills capability is creating—turning every business professional into an on-demand data scientist with nothing more than conversational language.

The magic behind the curtain: code execution skills

At the heart of this transformation is Vertesia's Code Execution Skill—arguably one of the most powerful capabilities in our AI arsenal. Unlike traditional AI assistants that can only discuss data concepts, Vertesia can:

• Generate, analyze, and execute code in real-time
• Render complex data visualizations and charts on the fly
• Operate within secure sandbox environments with access to essential libraries
• Write, edit, and store scripts for future use
• Gracefully handle errors and continue working even after failures

The true innovation isn't just the ability to run code—it's how Vertesia removes the need for you to understand the underlying complexity.

From spreadsheet to insights in seconds

Consider this scenario: Your team has been running multiple marketing campaigns across different channels—paid social, email marketing, affiliate partnerships, and ads across Google and Bing. You have the data in a spreadsheet, but understanding the ROI across channels and optimizing your budget allocation requires complex analysis.

With traditional approaches, you might:

• Wait for an overworked data analyst to find time for your request
• Attempt to learn enough Excel formulas to piece together basic insights
• Make educated guesses based on incomplete information

With Vertesia's Skills, you simply say:

"I have this marketing performance spreadsheet for our Q2 campaigns. Can you analyze the ROI by channel, identify which campaigns delivered the best conversion rates, and suggest how to reallocate our budget for Q3 to maximize returns?"

Behind the scenes, Vertesia:

• Activates its Code Execution Skill, recognizing this as an analytics task.
• Requests and installs necessary packages and tools (like pandas or Polars for high-performance data manipulation) into the secure sandbox environment, ensuring it has precisely what it needs.
• Writes appropriate reusable scripts to clean, process, and analyze your spreadsheet data, which it can iterate on and improve based on your feedback.
• Requests the specific data (the spreadsheet content) which is then present in the sandbox for it to use.
• Creates visualizations showing performance across channels.
• Generates optimization recommendations based on the findings.
• Produces an analytical artifact (like a final processed dataset or a report summary) that is synched back to the agent for further reasoning and downstream analysis.
• Presents you with clear, actionable insights—complete with supporting charts, allowing for direct interaction and iteration on the outcome and questions.

All of this happens in seconds, not days, with no technical knowledge required from you. You can also feed it clear instructions and templates to have it generate a report in a specific format.

Real-world impact: marketing vendor performance analysis

Let's look at a concrete example. An ecommerce company needed to understand:

• Which product categories were growing or declining in market share
• How their pricing strategy compared to competitors
• The ROI of their advertising campaigns across product lines
• Seasonal trends affecting different product categories

Previously, answering these questions would have required:

• SQL queries to pull the data
• Python or R code for statistical analysis
• Visualization tools to create meaningful charts
• A data scientist to interpret results and make recommendations

Using Vertesia's Skills capability, their marketing team simply uploaded their sales and advertising reports and asked:

"Can you analyze our performance over the past 12 months? I'm particularly interested in understanding which product categories are showing the strongest growth, how our advertising spend correlates with sales by category, and where we might have pricing opportunities."

Within moments, they received:

• Trend charts showing category performance over time
• Correlation analysis between advertising spend and revenue
• Pricing comparison with market averages by category
• Seasonal pattern identification with forward-looking predictions
• Specific recommendations for budget reallocation

The marketing director was able to make immediate decisions about Q3 strategy without involving the data science team, saving weeks of back-and-forth and allowing them to capitalize on market opportunities faster than competitors.

The Sandbox: your personal data science lab

What makes this possible is Vertesia's secure sandbox environment—a powerful but protected space where code can be executed without risk to your systems.

This sandbox comes equipped with:

• On-Demand Libraries: The model can request packages and tools to be installed when needed (e.g., pandas, Polars) rather than relying solely on a pre-loaded environment. A skill can even recommend what packages or tools to install for a given task.
• Reusable Scripts: The ability to write, save, edit, and re-run scripts across sessions, allowing the model to reuse its own code for similar tasks.
• Data Synchronization: The ability to request data which is then made available in the sandbox, and to produce artifacts that are synched back to the agent for further analysis and reasoning.
• Interactive Execution: Allows for iteration and questioning on the analysis outcome, making the data exploration highly collaborative.
• Resilient execution: Even if code crashes, the system preserves your work and can continue.
• Visual outputs: Direct rendering of charts, graphs, and other visualizations.

The true power lies in how invisible this complexity is to you as a user. You never need to know that Vertesia is writing Python code with pandas DataFrames behind the scenes—you simply ask questions in plain language and receive insights in return.

Watch this 4.5 minute video to see it for yourself!

Beyond basic analysis

The democratization of data science through Skills extends far beyond simple spreadsheet analysis:

• Market Research Automation
• Predictive Modeling Without the Ph.D. 
• Anomaly Detection and Alert Systems
• Automated Reporting with Narrative Insights

An analysis run on financial performance for the last 3 years

The promise vs. reality of "no-code" tools

For years, the market has been flooded with "no-code" and "low-code" tools promising to democratize data analysis. Most have fallen short, still requiring users to understand data structures, relationships, and analytical concepts.

Vertesia's approach is fundamentally different. Instead of simplifying technical tools, it eliminates the need to interact with them at all. You communicate in natural language about your business questions, and Vertesia handles the technical implementation invisibly.

This is the true promise of AI in the enterprise—not just automating tasks, but eliminating entire categories of technical complexity from your workflow.

Watch this 4.5 minute video to see it for yourself!

Ask complex questions, get rich answers

What makes Vertesia's Skills truly revolutionary is the asymmetry between input and output:

• Your input: Simple, conversational questions about your business
• The output: Sophisticated analysis, professional visualizations, and strategic insights

This asymmetry creates extraordinary leverage for non-technical team members. A five-second question can generate insights that would have taken hours or days of specialized work—and you can ask follow-up questions immediately to explore the data further.

Getting started: no training required

Unlike traditional analytics tools that require workshops and training sessions, getting started with Vertesia's data science capabilities requires virtually no onboarding:

• Connect your data sources: Spreadsheets, databases, API connections
• Ask business questions: In plain language, just as you would ask a colleague
• Refine through conversation: Ask follow-ups, request different visualizations, or explore new angles

The system improves as you use it, learning your business terminology, reporting preferences, and analytical priorities.

The future is here: what will you ask first?

The democratization of data science through Vertesia's Skills represents a fundamental shift in how businesses operate. When insights are available on-demand to everyone, not just technical specialists, the pace of decision-making accelerates dramatically.

The questions that have lingered unanswered—buried under the backlog of data team requests—can now be explored immediately by anyone in your organization.

So, what will you ask first?

Perhaps the most exciting part of this revolution isn't just the answers we can get today, but the questions we'll learn to ask tomorrow—questions that would have seemed impractical to even consider in a world where data science was restricted to the few.

With Vertesia Skills, everyone is a data scientist now. And that changes everything.