Patent Analytics: Transforming IP Strategy into Intelligence

This book demystifies patent data and its structure through data analytics and visualizations, providing a practical guide to applying patent network analytics and visualization tools in business. Case studies from renowned companies showcase how patent network drives innovation.

Format: Paperback / softback
Length: 206 pages
Publication date: 07 July 2022
Publisher: Springer Verlag, Singapore

This book delves into the intricate world of patent data, unveiling its complexity and structure through the lenses of a data scientist, a patent attorney, and a designer. By employing advanced data analytics and captivating visualizations, including a network map, the author unravels the hidden connections within this vast repository of intellectual property information. This comprehensive guide offers a practical approach to incorporating patent network analytics and visualization tools into businesses, providing valuable insights and strategies.

We explore real-world case studies from renowned companies like Apple, Dyson, Adobe, Bose, Samsung, and many more, examining how their core values of patent networks fuel innovation within their organizations. Furthermore, this book broadens readers' perspectives by presenting patent gazettes as vast datasets and powerful tools for innovation analytics when combined with Artificial Intelligence.

By demystifying patent data and its structure, this book empowers professionals to make informed decisions, identify valuable patent trends, and optimize their innovation strategies. Whether you are a business executive, a patent analyst, or a technology enthusiast, this book offers valuable insights and practical tools to navigate the complex world of patent analytics and visualization.

Weight: 355g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811629327
Edition number: 1st ed. 2021