Making Money Out of Data
The Business Leader’s Blueprint for Turning Analytics Into Profit
The executive playbook to turn analytics, AI, and data assets into predictable revenue, cost savings, and competitive advantage—without technical jargon or wasted spend
Your company has more data than ever. So why aren't the profits keeping up? Every day, businesses across the globe are drowning in spreadsheets, dashboards, and analytics—yet most leaders can't tell you which data points actually drive revenue. The harsh truth? While your competitors figure out how to turn data into cash flow, you're stuck with expensive reports that sit in email inboxes, unused and unprofitable. This isn't about having more data—it's about having the right system to monetize what you already own. "Making Money Out of Data" gives you that system. Stop letting millions in hidden revenue slip through the cracks. Start turning your data into your most profitable asset.
Deep dive into the ocean of data-inspired stories and explore the depth and intensity of power of data.
A personal message from Shailendra kumar
After 25 years of helping global brands turn data into billions in revenue, I've seen the same problem everywhere: brilliant leaders drowning in reports but starving for results. That's why I wrote this book. Not another theory-heavy manual, but a battle-tested playbook that cuts through the noise and gets straight to what works. Every framework, every case study, every strategy in these pages has been proven in boardrooms and bottom lines. If you're ready to stop wondering 'what if' and start seeing measurable ROI from your data investments, this book is your roadmap. Your competitors won't wait—and neither should you.
Making money out of data
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Who this is for
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CEOs, founders, and P&L owners who want fast ROI from data initiatives, not slide decks.
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Strategy, marketing, and operations leaders who need an actionable path from analytics to revenue.
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Business professionals who want a simple, repeatable framework to monetize data across any industry.
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The problem leaders face
A step-by-step, executive-friendly system to monetize data, build high-performance analytics capabilities, and convert AI into real business outcomes. Plain language, proven playbooks, and case-backed methods designed for action.
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The solution inside this book
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Business-first framework: Clear paths to revenue growth, margin expansion, and cash flow using analytics and AI—explained simply.
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Zero fluff, high ROI: Field-tested strategies refined through billions in delivered value to global brands.
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Built for non-technical leaders: No code, no jargon—just decisions, roadmaps, and results.
What readers say
THW, UK
“This is a must read for anyone in the data analytics space, for me as a leyman it was easy to follow and i took practical insights that are helping me in my job now. I recommend it."
Ashish, Australia
"This book is an eye opener for all those who THINK they are into analytics but are instead into reporting. It starts like a normal tech book but ends like a thriller - Real life examples and data make it all the more interesting.
Coming from a true practitioner it is a push for all of us to look deeper into the world of analytics and utilise all that unused data for the benefit of common man and all the organizations we work for.. in that order."
Saumya, USA
“I couldn't find a simpler introduction to a complex topic like Analytics delivered via such a diverse set of case studies which were practical and insightful to the amazing potential of Analytics. The key take away was "Analytics isn't Business Intelligence, its starts where BI ends"!!!
Thanks Shailendra, brilliant work mate!”
Your Questions, Answered.
1. Is it technical?
No—designed for business professionals. You’ll make decisions, not models.
2. Does this work outside tech?
Yes—retail, banking, manufacturing, healthcare, SaaS, and more.
3. How fast can we see results?
Many leaders land quick wins in 2–8 weeks with the playbooks.
4. What if we already have BI dashboards?
Great—this book is not about dashboards or Business Intelligence. This book is about Analytocs and there is a huge difference which you will learn in "Making Money Out of Data"
