BECOME NOW™ · DATA & ANALYTICS

Accelerate analysis with LLMs without losing control of the data.

A program for analysts and advanced business users who need faster exploration and clearer communication without mistaking a plausible answer for evidence.

THE USUAL PROBLEM

Analysis gets faster. Verification stays manual.

LLMs can draft queries, suggest hypotheses and explain results. They can also hide assumptions, infer relationships or misread a metric definition. The real risk is an analysis nobody can reproduce.

The program separates preparation, calculation, interpretation and narrative—and defines where deterministic analytical tools must remain in control.

WHO IT IS FOR

Data Analysts
Business Intelligence
Business Analysts
Analytics
Controllers
Decision Support Teams

BEFORE THE CURRICULUM

Session 0 aligns sources, metric definitions and questions first.

We review approved datasets, metric dictionaries, recurring analyses, BI tools, quality rules and the decisions that consume the output. We define test samples and standards for precision, reproducibility and traceability.

RECOMMENDED JOURNEY

Use LLMs to speed up analysis without losing control over the data.

Session 1: LLMs for analysis

What stays installed: Data Analysis Copilot with evidence rules.

Session 2: Quality and preparation

What stays installed: Assistant for profiling fields and documenting transformations.

Session 3: Exploratory analysis

What stays installed: Workflow for hypotheses and segmentation without premature conclusions.

Session 4: Variance and scenarios

What stays installed: Copilot that exposes drivers, assumptions and sensitivity.

Session 5: Visualization and narrative

What stays installed: Assistant that chooses the story after the analysis.

Session 6: Decision support

What stays installed: Executive pack with finding, evidence, uncertainty and next decision.

HOW EACH SESSION WORKS

Every output must trace back to a source, transformation and criterion.

Results are compared with known calculations. The team documents queries and distinguishes correlation, causation, data and assumptions.

TECHNOLOGY IN YOUR ENVIRONMENT

The program may use controlled files, notebooks, SQL, spreadsheets and BI outputs with the approved model. It does not replace data governance or connect models to production by default.

POSSIBLE DELIVERABLES

What the team takes away.

Data Analysis Copilot.
Dataset quality checklist.
Validated analytical question library.
Variance and scenario template.
Evidence-based storytelling standard.
Reproducible Executive Decision Pack.

BEFORE YOU DECIDE

Measures may include time to first useful analysis, errors caught before publication, reproducibility, rework, source coverage and assumption clarity.

FREQUENTLY ASKED QUESTIONS

What teams in this area actually ask.

Is this only for data scientists?

No. Depth is adapted to analysts and business users in Session 0.

Does AI replace SQL, Python or BI?

No. It assists parts of the work; critical calculations remain verifiable.

Can sensitive data be used?

Only under approved conditions; masked or simulated data are valid alternatives.

How do we prevent fabricated analysis?

With visible sources, reproducible steps, deterministic checks and analyst review.

OTHER PROGRAMS

Is another area the one that needs to start?

Business & Growth

Strategy & Leadership

Finance