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| Seller | Price | |
|---|---|---|
| StoryMirror Best price | ₹499 | |
| Amazon | Price not available | |
| Flipkart | Price not available |
About the Book:
We don’t have a data problem.
We have a thinking problem.
Every organization today claims to be “data-driven.” Dashboards glow. Models run. Reports
multiply. And yet — decisions remain unclear, meetings run long, and strategy feels reactive.
Why?
Because analysis has replaced reasoning.
Measurement has replaced meaning.
In The Analytical Mindset, Ashutosh Gaiha challenges the modern obsession with tools and
reveals a deeper truth:
The most valuable analyses aren’t the ones that use the most sophisticated algorithms.
They’re the ones who ask the best questions.
Through a compelling mentoring narrative, this book shows how to:
This is not a book about coding.
It is a book about clarity.
In a world where AI can compute faster than ever, the ultimate advantage is not more data.
It is better thinking.
About the Author:
With over 25 years of specialized expertise, Ashutosh Gaiha is a distinguished business leader and analytics educator at the intersection of data science and corporate strategy. His extensive caree spans critical infrastructure sectors, including telecommunications, large-scale infrastructure, and pioneering smart city projects, where he has consistently translated complex data into actionable growth.
Ashutosh has spent decades navigating the upper echelons of the corporate world, holding pivotal leadership positions at global and national powerhouses such as Reliance Jio, Viom Networks, and Nokia Siemens Networks. During his tenure at these organizations, he was instrumental in steering data-driven initiatives that redefined operational efficiency and market positioning.
Beyond his corporate achievements, Ashutosh is a dedicated mentor and educator. He currently channels his deep industry knowledge into teaching and high-level consulting, specializing in the practical application of Business Analytics, Artificial Intelligence, and Machine Learning. His mission is to bridge the gap between technical complexity and executive decision-making, helping the next generation of analysts and leaders find clarity in a data-saturated world.