Turn ambition into an understandable strategy
Purpose, mission, vision, diagnosis, competitive advantage, SMART goals, strategy maps, OKRs and KPIs.
First edition · 2026 · Luis Valle
From Strategy to Growth
Data analytics to create valuable and sustainable strategy. A practical journey from business direction to forecasting, execution, management control and continuous improvement.
12 chaptersCases and exercisesAI promptsPython and Google ColabKPIs and OKRsSynthetic practice data
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“Strategy without data can become wishful thinking. Data without strategy can become noise. Value appears when both are integrated into responsible decisions.”
The promise to the reader
Learn to connect direction, evidence, anticipation, action and learning
Read it from beginning to end, use it as a study text or consult it as a working manual for business projects.
Read historical data with management judgment
Trends, seasonality, products, channels, territories, margin, inventory and data quality.
Compare models and build a useful forecast
Baselines, error metrics, statistical models and automation with Python and Google Colab.
Turn a gap into growth initiatives
Strategic GAP, Ansoff matrix, building blocks, scenarios and experiments before scaling.
Design a measurement system that supports decisions
KPIs, OKRs, dashboards, traffic lights, owners, review cadence and corrective action.
Use AI without losing judgment, privacy or purpose
Applied prompts, human verification, data protection and clear automation limits.
Book contents
Four parts, twelve chapters and one complete system
The structure moves from the fundamental questions of direction to the construction of a data-driven learning organization.
Business strategy and vision
- Foundations of strategic thinking
- Strategic plan and corporate objectives
- Growth levers with the Ansoff matrix
Descriptive and predictive analytics
- Historical data and commercial trends
- Business forecasting models
- Automation with Python, Google Colab and machine learning
Data-based growth strategy
- Using forecasts as a strategic baseline
- Data-based growth strategies
- Organizational growth building blocks
Measurement, control and improvement
- Designing KPI and OKR systems
- Strategic monitoring and adjustment
- Conclusions and a data-driven roadmap
Learning by doing
An integrated case to practice the complete cycle
The fictional, synthetic Lácteos Andinos Florida case follows the journey: understand historical performance, forecast the future, identify a gap against the target, design initiatives and control execution.
Synthetic dataPrivacy protectedRealistic situationsAdaptable method
The decision cycle
Direction → evidence → anticipation → action → learning.
The organization defines where it wants to go, studies data, estimates what could happen, designs actions to change the outcome and learns by comparing execution, forecast and target.
Who is it for?
A bridge between strategy, business and analytics
Managers and leaders
Connect vision, objectives, metrics, forecasts and growth decisions.
Analysts and consultants
Turn models and dashboards into executive conversations and actions.
Entrepreneurs and small businesses
Prioritize resources, validate routes and grow with clarity and control.
Educators and students
Learn through concepts, cases, exercises, prompts and assisted programming.
Access the complete work
Turn this book into your working system
It is more than a reading experience. It is a guide to ask better questions, review assumptions, build models, define initiatives and sustain performance conversations.
- Complete digital edition
- 12 chapters in 4 integrated parts
- Tables, diagrams, checklists and exercises
- Professional generative AI prompts
- Python and Google Colab examples
- APA 7 references
Frequently asked questions
Before purchasing the book
Do I need to be a data scientist?
No. The book begins with management questions and explains how to connect numbers with the business. Programming examples are assisted and should be understood before use.
Does it include practical exercises and tools?
Yes. It includes tables, figures, cases, exercises, prompts, checklists and automation examples that can be adapted to different sectors.
Are the case data from a real company?
No. Lácteos Andinos Florida is fictional and uses synthetic data so readers can practice without exposing confidential information.
Does AI make decisions for the reader?
No. AI is presented as a support tool. Validation, interpretation and responsibility remain human.