Book Details
Format
Kindle
Pages
147
Language
English
Published
Jan 1, 2014
Publisher
Morgan Kaufmann
Edition
1
ISBN-10
0123977800
ISBN-13
9780123977809
Description
Social Data Analytics serves as a comprehensive resource for professionals eager to harness the power of social data in their enterprises. With a focus on practical application, the authors, Krish Krishnan and Shawn P. Rogers, delve into strategies for effectively leveraging social data to enhance decision-making processes. They emphasize the importance of collaboration, showcasing how cross-functional teams can utilize insights gathered from social networks to drive business growth and improve customer engagement.
Navigating through the complexities of social data can be daunting, but the book breaks down key concepts into manageable sections. It provides actionable examples and frameworks that guide readers in developing their own social data analytics strategies. The authors illustrate how organizations, regardless of size or industry, can tap into social sentiments and trends to inform their marketing initiatives and operational efficiencies.
Ultimately, this guide is tailored for those looking to gain a competitive edge in the evolving landscape of data analytics. Readers will find valuable tools and insights that equip them to transform raw social data into meaningful business intelligence.
Navigating through the complexities of social data can be daunting, but the book breaks down key concepts into manageable sections. It provides actionable examples and frameworks that guide readers in developing their own social data analytics strategies. The authors illustrate how organizations, regardless of size or industry, can tap into social sentiments and trends to inform their marketing initiatives and operational efficiencies.
Ultimately, this guide is tailored for those looking to gain a competitive edge in the evolving landscape of data analytics. Readers will find valuable tools and insights that equip them to transform raw social data into meaningful business intelligence.
Genres
Business & Economics