Stock photo: cover may vary
Lean Analytics: Use Data to Build a Better Startup Faster Paperback - 2024
by Croll, Alistair, Yoskovitz, Benjamin
- New
A$39.81
A$5.82
Delivery within USA
Standard delivery: 5 to 11 days
More delivery options
Standard delivery: 5 to 11 days
Ships from Ambis Enterprises LLC (Michigan, United States)
Details
- Title Lean Analytics: Use Data to Build a Better Startup Faster
- Author Croll, Alistair, Yoskovitz, Benjamin
- Binding Paperback
- Condition New
- Pages 436
- Volumes 1
- Language ENG
- Publisher Oreilly & Associates Inc
- Publication date 2024-04-02
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- Bookseller's Inventory # OTF-S-9781098168186
- ISBN 9781098168186 / 1098168186
- Weight 1.29 lbs (0.59 kg)
- Dimensions 9 x 6 x 0.89 in (22.86 x 15.24 x 2.26 cm)
- Category Small Business/Entrepreneurship
- Library of Congress subjects Consumer profiling, Consumers - Research
- Dewey Decimal Code 658.834
- Quantity available 102
About Ambis Enterprises LLC Michigan, United States
Specialising in: New Books, Used Books
Biblio member since 2009
We love books, and love our customers. We underrate our book conditions to ensure you're happy, and handpack our shipments with pride!
30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives damaged. Please Contand us at Admin@lakesidebooks.com
Reader reviews for Lean Analytics: Use Data to Build a Better Startup Faster
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
