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Lean Analytics: Use Data to Build a Better Startup Faster


Price: $38.74
(as of Dec 23,2024 08:31:54 UTC – Details)


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The Lean Series: Essential books for Entrepreneurs and Innovators

The Lean Series, curated by Eric Ries and published by O’Reilly Media, is a collection of books written by the best people in the field, on topics that matter. The authors dive down into Lean Startup implementation-level details, providing readers with information they can use immediately.

Publisher ‏ : ‎ O’Reilly Media; 1st edition (April 2, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 436 pages
ISBN-10 ‏ : ‎ 1098168186
ISBN-13 ‏ : ‎ 978-1098168186
Item Weight ‏ : ‎ 1.29 pounds
Dimensions ‏ : ‎ 6 x 0.89 x 9 inches

Customers say

Customers find the book provides practical information and a thorough overview of analytics and business models for startups. They describe it as a good read with illustrations that are helpful. The pacing is solid and non-jargon-filled, making it a great companion to Running Lean.

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In today’s digital age, data is king. And for startups looking to make a mark in their respective industries, leveraging data and analytics can be the key to success.

Enter Lean Analytics – a methodology that emphasizes using data to make informed decisions and iterate quickly. By measuring what matters and focusing on key metrics, startups can build a better product, reach their target audience more effectively, and accelerate their growth.

In this post, we’ll explore how startups can utilize Lean Analytics to their advantage and build a better business faster. From setting clear goals and defining key metrics to analyzing data and making data-driven decisions, we’ll cover the essential steps to implementing this methodology successfully.

So if you’re a startup founder or aspiring entrepreneur looking to take your business to the next level, be sure to stay tuned for our upcoming posts on Lean Analytics. It’s time to harness the power of data and build a better startup faster.
#Lean #Analytics #Data #Build #Startup #Faster, Data Management

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