Finding the best location analytics suitable for your needs isnt easy. With hundreds of choices can distract you. Knowing whats bad and whats good can be something of a minefield. In this article, weve done the hard work for you.

Best location analytics

Product Features Editor's score Go to site
Location Analytics for Business: The Research and Marketing Strategic Advantage Location Analytics for Business: The Research and Marketing Strategic Advantage
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Creating Value With Social Media Analytics: Managing, Aligning, and Mining Social Media Text, Networks, Actions, Location, Apps, Hyperlinks, Multimedia, & Search Engines Data Creating Value With Social Media Analytics: Managing, Aligning, and Mining Social Media Text, Networks, Actions, Location, Apps, Hyperlinks, Multimedia, & Search Engines Data
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Seven Layers of Social Media Analytics: Mining Business Insights from Social Media Text, Actions, Networks, Hyperlinks, Apps, Search Engine, and Location Data Seven Layers of Social Media Analytics: Mining Business Insights from Social Media Text, Actions, Networks, Hyperlinks, Apps, Search Engine, and Location Data
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Location Theory and Decision Analysis: Analytics of Spatial Information Technology Location Theory and Decision Analysis: Analytics of Spatial Information Technology
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Retail Apparel Sales Location Analytics: A Practical Guide For Investigating Spatial Point Patterns Retail Apparel Sales Location Analytics: A Practical Guide For Investigating Spatial Point Patterns
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The Power of Place: Advanced Customer and Location Analytics for Market Planning The Power of Place: Advanced Customer and Location Analytics for Market Planning
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1. Location Analytics for Business: The Research and Marketing Strategic Advantage

Description

Business organizations are trying to solve problems every day. Often when these problems involve location data, organizations have a difficult time understanding the options available to solve these problems. Business Location Analytics: The Research and Marketing Advantage takes readers through the techniques, methods, and technology available to help todays business leaders harness the power of spatial intelligence and spatial data visualization. Location Analytics may just be the tool organizations need to solve a specific problem, make better decisions, or even to tackle issues that can make the world a better place.

2. Creating Value With Social Media Analytics: Managing, Aligning, and Mining Social Media Text, Networks, Actions, Location, Apps, Hyperlinks, Multimedia, & Search Engines Data

Description

Often termed as the 'new gold,' the vast amount of social media data can be employed to identify which customer behavior and actions create more value. Nevertheless, many brands find it extremely hard to define what the value of social media is and how to capture and create value with social media data.
In Creating Value with Social Media Analytics, we draw on developments in social media analytics theories and tools to develop a comprehensive social media value creation framework that allows readers to define, align, capture, and sustain value through social media data. The book offers concepts, strategies, tools, tutorials, and case studies that brands need to align, extract, and analyze a variety of social media data, including text, actions, networks, multimedia, apps, hyperlinks, search engines, and location data. By the end of this book, the readers will have mastered the theories, concepts, strategies, techniques, and tools necessary to extract business value from big social media that help increase brand loyalty, generate leads, drive traffic, and ultimately make sound business decisions. Here is how the book is organized.

Chapter 1: Creating Value with Social Media Analytics
Chapter 2: Understanding Social Media
Chapter 3: Understanding Social Media Analytics
Chapter 4: Analytics-Business Alignment
Chapter 5: Capturing Value with Network Analytics
Chapter 6: Capturing Value with Text Analytics
Chapter 7: Capturing Value with Actions Analytics
Chapter 8: Capturing Value with Search Engine Analytics
Chapter 9: Capturing Value with Location Analytics
Chapter 10: Capturing Value with Hyperlinks Analytics
Chapter 11: Capturing Value with Mobile Analytics
Chapter 12: Capturing Value with Multimedia Analytics
Chapter 13: Social Media Analytics Capabilities
Chapter 14: Social Media Security, Privacy, & Ethics

The book has a companion site (analytics-book.com/), which offers useful instructor resources.

3. Seven Layers of Social Media Analytics: Mining Business Insights from Social Media Text, Actions, Networks, Hyperlinks, Apps, Search Engine, and Location Data

Description

Alert: A more comprehensive edition of this book is now available: ttps://amazon.com/Creating-Value-Social-Media-Analytics/dp/1977543979

The book offers concepts, tools, tutorials, and case studies that business managers need to extract and analyze the seven layers of social media data, including text, actions, networks, apps, hyperlinks, search engines, and location layers. Social media analytics is about converting unstructured social media data into meaningful business insights. By the end of this book, you will have mastered the concepts, techniques, and tools used to extract business insights from social media that help increase brand loyalty, generate leads, drive traffic, and ultimately make good business decisions. The book is non-technical in nature best suited for business managers, owners, consultants, students, and professors, etc.Here is how the book is structured:
Chapter 1: The Seven Layers of Social Media Analytics
Chapter 2: Understanding Social Media
Chapter 3: Social Media Text Analytics
Chapter 4: Social Media Network Analytics
Chapter 5: Social Media Actions Analytics
Chapter 6: Social Media Apps Analytics
Chapter 7: Social Media Hyperlinks Analytics
Chapter 8: Social Media Location Analytics
Chapter 9: Social Media Search Engine Analytics
Chapter 10: Aligning Social Media Analytics with Business Goals
The book also comes with a companion site (7layersanalytics.com/) which offers Updated Tutorials, Power-Point Slide, Case Studies, Sample Data, and Syllabus.

4. Location Theory and Decision Analysis: Analytics of Spatial Information Technology

Description

Employing state-of-the art quantitative models and case studies, Location Theory and Decision Analysis provides the methodologies behind the siting of such facilities as transportation terminals, warehouses, housing, landfills, state parks and industrial plants. Through its extensive methodological review, the book serves as a primer for more advanced texts on spatial analysis, including the monograph on Location, Transport and Land-Use by the same author. Given the rapid changes over the last decade, the Second Edition includes new analytic contributions as well as software survey of analytics and spatial information technology.
While the First Edition served the professional community well, the Second Edition has substantially expanded its emphasis for classroom use of the volume. Extensive pedagogic materials have been added, going from the fundamental principles to open-ended exercises, including solutions to selected problems. The text is of value to engineering and business programs that offer courses in Decision and Risk Analysis, Muticriteria Decision-Making, and Facility Location and Layout. It should alsobe of interest to public policy programs that use geographic Information Systems and satellite imagery to support their analyses.

5. Retail Apparel Sales Location Analytics: A Practical Guide For Investigating Spatial Point Patterns

Description

Retail Apparel Sales Location Analytics is a how-to guide for investigating the geographic location patterns of apparel retailers. By conducting a point pattern analysis - visualizing, exploring and modeling spatial data - you will begin to understand the power of place in retail business strategy. After reading this book and following the example exercises, you will be familiar with advanced spatial-statistical tools and techniques that can be applied to the analysis of a retailers geographic location. Just a few of the things you will learn from this book include: -The history and purpose of location analytics, including tools and techniques. -Point pattern basics, including analysis of the three types of retailer point pattern. -How to visualize, explore and model spatial data, using GIS Geographic Information Systems. -How to conduct a point pattern analysis of luxury apparel retailers and mass-market apparel retailers in Michigan, USA. -How to interpret the output of various location analytics tools, including quadrat tests, kernel density estimates, nearest neighbor tests, and cumulative probability distribution functions.

6. The Power of Place: Advanced Customer and Location Analytics for Market Planning

Feature

Used Book in Good Condition

Description

Retail-based businesses are facing turbulent times. With intense pressure from competition and sophisticated new information technologies, devising successful growth strategies is difficult to say the least. Driven by the need for greater precision and certainty, retailers are seeking new tools and advanced decision-support systems are becoming the norm for retail location strategy. However, if used incorrectly, these systems can create confusion, disappointing results, and even inaccurate conclusions. This book offers guidelines for retail decision makers and analysts who are ultimately responsible for delivering good recommendations to top-level management. Its chapters will help you identify customer segments that are critical to your business, including their value, purchase behaviors, and current levels of penetration; identify which markets offer the greatest opportunities for growth and expansion; identify over-saturated markets; measure potential effects of same-store cannibalization; and minimize risk associated with real estate investment.

Conclusion

All above are our suggestions for location analytics. This might not suit you, so we prefer that you read all detail information also customer reviews to choose yours. Please also help to share your experience when using location analytics with us by comment in this post. Thank you!
Jaime Gordon