5 Books Every Data-Driven Entrepreneur Should Read

June 21, 2017

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They say one of the best ways to learn is by doing. So surely another great way is by reading.

Here at Hockeystick, we're avid readers and have accumulated a fantastic collection of books that we think every entrepreneur should read — particularly those who are data-driven and analytically inclined.

If you haven’t read these already, it’s time you did.

Lean Analytics

book-cover-full.pngThis book is written by Alistair Croll and Benjamin Yoskovitz and is one of the most appreciated books on data startups.

It consists of practical and detailed  guidance which can help you to build your startup faster. It gives enough intuition to build data driven products and market them.

Plus, the language is simple to understand.

There are enough real world examples to make you believe that a business needs analytics like a human needs air. To an entrepreneur, this will introduce to what it takes to succeed in a red ocean market. 

The Startup Owner’s Manual: The Step-by-Step Guide for Building a Great Company

Screen-Shot-2014-05-10-at-8.53.33-PM1-1.pngOver 100,000 entrepreneurs are said to have relied on Steve Blank and Bob Dorf’s manual for startup owners.

The book outlines a highly successful customer development process that entrepreneurs can use to drive their business toward profitability.

It’s the perfect resource for anyone looking to maximize their startup’s chances of success by developing their customers in order to create repeatable, scalable profits.

Data Science for Business: What You Need to Know About Data Mining and Data-Analytic Thinking

Screen-Shot-2014-05-10-at-8.53.33-PM1-1.pngData experts Foster Provost and Tom Fawcett take a close look at the fundamentals of data science, teaching readers how to obtain knowledge and insight from the data they've collected and mined.

The book is a highly useful resource for any entrepreneur who is looking to take advantage of the opportunities that big data present.

Calling on his experience from teaching MBA courses at NYU for more than a decade, Provost brings real-world business problem to life.

Good to Great

3aafa2_7031f30199ff4f5cb1ddcc730613d549-mv2.jpgHow does an organization go from good to great? That's the question Jim Collins set out to answer.

He deployed a 21-person research team to comb through every Fortune 500 company that met their scrupulous criteria: companies that suffered a decade-long period of stagnant profits, followed by 15 years of great success and increasing profits.

These companies ended up being the foundational case studies for his book, and act as teaching tools for any entrepreneur wondering how a company can ultimately surpass its competitors.

Big Data at Work: Dispelling the Myths, Uncovering the Opportunities

Davenport16574_300dpi.jpgTom Davenport digs into all of the hype about big data in “Big Data at Work,” discovering along the way what its applications are from a technical, management, and consumer perspective.

Davenport explains what big data is and why it matters, before going on to outline how to use big data successfully in your own business, from getting the right technology to hiring the right people. Citing examples from many Fortune 500 companies, he helps entrepreneurs understand how they too can benefit from big data.

Now it’s your turn.

What are you reading right now and can you recommend any other great books for data-driven entrepreneurs?

Let us know on Twitter.


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