Social data analytics : collaboration for the enterprise / Krish Krishnan, Shawn P. Rogers ; designer, Matthew Limbert.

Format:

Book

Author/Creator:

Krishnan, Krish, author.

Rogers, Shawn P., author.

Contributor:

Limbert, Matthew, designer.

Language:

English

Subjects (All):

Business intelligence.

Information technology--Social aspects.

Information technology.

Physical Description:

1 online resource (159 p.)

Edition:

1st edition

Place of Publication:

Waltham, Massachusetts : Morgan Kaufmann, 2015.

Language Note:

English

System Details:

text file

Summary:

Social Data Analytics is the first practical guide for professionals who want to employ social data for analytics and business intelligence (BI). This book provides a comprehensive overview of the technologies and platforms and shows you how to access and analyze the data. You'll explore the five major types of social data and learn from cases and platform examples to help you make the most of sentiment, behavioral, social graph, location, and rich media data. A four-step approach to the social BI process will help you access, evaluate, collaborate, and share social data with ease. You'll learn everything you need to know to monitor social media and get an overview of the leading vendors in a crowded space of BI applications. By the end of this book, you will be well prepared for your organization’s next social data analytics project. Provides foundational understanding of new and emerging technologies—social data, collaboration, big data, advanced analytics Includes case studies and practical examples of success and failures Will prepare you to lead projects and advance initiatives that will benefit you and your organization

Contents:

Cover

Title Page

Copyright Page

Dedication

Contents

List of figures

Acknowledgments

Preface

Chapter 1 - A New Universe of Data

Understanding Social Analytic Platforms

Platform Functions

Alerting and Workflow

Collaboration

Integration/Application Programming Interfaces

Natural Language Processing

Platform Analytic Functions

Geospatial Analysis

Sentiment Analysis

Influence Analysis

Machine Data Analysis

Demographic Analysis

Brand Affinity

Text Analytics

Chapter 2 - Social Analytics in the Enterprise

Summary

Put Employees First

Pilot, Experiment, Learn

Alstom's Pillars of Collaboration

Governance

How to Measure Success

Success Is More Than Metrics

What's Next?

Chapter 3 - Social Business Intelligence

Social Analytics and Business Intelligence Integration

Social Media

CRM

Marketing Strategy

Business Intelligence

Case Study

SMS Campaign: Route 66 Harley-Davidson

Call to Action

Objective

Strategy

Results

Lessons learned

Chapter 4 - Four Steps to Social Business Intelligence

Step 1: Creating and Engaging Social Media Presence

Stage 1: Set up a Strategy and Goals to Accomplish

Stage 2: Make a Plan and Content Calendar

Stage 3: Post Your Content With Consistence

Stage 4: Engage! Don't Just Post

Stage 5: Monitor What Works Best and Does Not Work

Step 2: Tie Social Media Monitoring to Your Business Goals

Step 3: Decide on Collaboration

Step 4: Examine Analytics for Insights

Conclusion

Chapter 5 - Valuable Data for the Enterprise

Understanding Social Data Types

Behavioral Data

Sentiment Data

Social Graph Data

Location/Geographic Data

Rich Media Data

Chapter 6 - Accessing the Data

Acquire

Refine

Classify

Categorize

Discovery

Metricize.

Challenges in Data Quality

Delivering the Infrastructure

Delivering Access to Data

How Does the Enterprise Use This Data

Chapter 7 - Social Platforms

Understanding the Social Network Landscape

Blogging Communities

Crowdsourced Content

Discussion Forums

Gaming Communities

Live Streaming

Micro-blogging

Sharing Networks

Special-Interest Platforms

Social Platforms

Ratings and Reviews

Chapter 8 - Social Business Intelligence and Collaboration

Increasing Customer Focus and Transforming to Customer-Driven Enterprise

An Integrated Approach

Enabling a Better Cross-Sell and Up-Sell Opportunity

Business Benefits

Social Media and Software

Social Intelligence

Solution Architecture

Chapter 9 - Social Media and Network Monitoring

Bringing the External to the Internal - How to Create a Platform

Perspective on Social Media Tools

Chapter 10 - Your First Project

Background

Social Analytics Strategy

The First Project Implementation

Proof of Value Exercise

Appendix

Solution

Result

Objectives

What They Did

How They Did It

Evaluation Approach

Integration

Challenge

The Future

Index.

Notes:

Includes index.

Description based on print version record.

ISBN:

9780123977809

0123977800

OCLC:

898210353