Lean Analytics: How to Use Data to Track, Optimize, Improve and Accelerate Your Startup Business: Lean Guides with Scrum, Sprint, Kanban, DSDM, XP & Crystal Book, #1

By Greg Caldwell

A lot of books have already been written about Lean Analytics, so why come up with another?

That's because the explosion of information about this topic has resulted to people generating varying and new interpretations. And this tends to confuse individuals who want to learn about it.

This book aims to address that problem and serve as a quick-start guide. We will cover everything you need to know to get started with, and apply Lean Analytics to your business.

 

Lean Analytics is actually not a very complex concept. It will only become complex if you make it so. This book will explain the concept in an easy to understand manner.

 

Inside, you will discover:

• A discussion on the basics of lean start-up and analytics – what it's all about; how things work, the pitfalls, what matters in a start-up, and the effect of supply and demand, among others.
• Becoming a data-driven person – learning the One Metric That Matters, the importance of customers, monitoring and streamlining your business processes, introducing improvements, tracking your changes, and the data you need for your analytics.
• Understanding the 8 types of data – qualitative, quantitative, vanity, actionable, exploratory, reports, lagging, and needing.
• Determining your minimum viable product – what MVP is all about, examples, prototypes and visions, applications, as well as minimum viable service and collective minimum viable product.
• What proponents and opposition say – about the MVP, about the metric, and avoiding mistakes with lean analytics.
• And more

Simply put, the book offers essential information on how you can implement lean analytics in your start-up. The book is a result of research and experience. After you finish this book, you'll have a different perspective as an entrepreneur who wants to establish a start-up business

 

What are you waiting for? Scroll up, click "Buy Now" and get started today.

• Language: English
• Publisher: Greg Caldwell
• Release date: Jul 18, 2020
• ISBN: 9781393398349

Book preview

Lean Analytics

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How to Use Data to Track, Optimize, Improve and Accelerate Your Startup Business

PUBLISHED BY: Greg Caldwell

© Copyright 2019 - All rights reserved.

The content contained within this book may not be reproduced, duplicated or transmitted without direct written permission from the author or the publisher.

Under no circumstances will any blame or legal responsibility be held against the publisher, or author, for any damages, reparation, or monetary loss due to the information contained within this book. Either directly or indirectly.

Legal Notice:

This book is copyright protected. This book is only for personal use. You cannot amend, distribute, sell, use, quote or paraphrase any part, or the content within this book, without the consent of the author or publisher.

Disclaimer Notice:

Please note the information contained within this document is for educational and entertainment purposes only. All effort has been executed to present accurate, up to date, and reliable, complete information. No warranties of any kind are declared or implied. Readers acknowledge that the author is not engaging in the rendering of legal, financial, medical or professional advice. The content within this book has been derived from various sources. Please consult a licensed professional before attempting any techniques outlined in this book.

By reading this document, the reader agrees that under no circumstances is the author responsible for any losses, direct or indirect, which are incurred as a result of the use of information contained within this document, including, but not limited to, — errors, omissions, or inaccuracies

Table Of Contents

Introduction

Chapter 1

Lean Startup and Analytics The Discussion You’ve Been Waiting For

Chapter 2

Your Journey to Become a Data Driven Person

Chapter 3

Minimum Viable Product: The Root of All Profitable Products

Chapter 4

The Opposition and Words of the Wise

Conclusion

Thank you

References

Introduction

I wrote this book basing from words of experts, online influencers, and personal opinions.

Many people already wrote books about this topic. Why still write one if that’s the case? That’s because of the explosion of information about this topic. It made it inevitable for people to generate different and new interpretations. Their words can confuse individuals who want to learn about it.

Unlike those books written before this, this book aims to serve as a short guide. Treat it as a supplementary source of information if you will. It will not pander on claiming that this is the one single book you need to master the subject.

Many people have already jumped on the bandwagon. They created websites with domain names using the words lean, startup, and analytics. Visit them and all they want is to get something from you instead of them giving anything worthwhile. It’s easy for people to get misinformed when they research because of those sites. Not to mention that the web isn’t exactly moderated and curated for its accuracy.

Aside from that, there are other factors that complicate things:

Experience and application of the theory resulted into a different realization

Different backgrounds of people influence a different opinion

Excessive recycling of facts and opinions passed from one person to the next

The goal of this book is to give its readers a primer about lean analytics. I’d be honest here: it’s not actually complex. It will only become complex if you put it in action and you have already a lot of data to analyze.

Since that’s out of the way, here’s a short story I want to tell you.

As you might have already guessed, I’m an entrepreneur. My first business flopped. I wasted my savings and the money I loaned. And I learned little from my experience after the business fell.

Let me tell the optimistic people that the failure wasn’t worth it. It’s like learning

Reviews for Lean Analytics

[asim_ghaffar · Rating: 1 out of 5 stars]

A really bad book. Imagine you are taking a physics class and there is someone who barely passes the class with D grade.. and then immediately write a book about physics..

If you are interested in lean or analytics then just don’t read this.