Chapter 9: Leveraging ESP to Adapt to Variable Data Quality for Location-Based Use Cases

By Prairie Rose Goodwin

Introduction

Why Use Real-time Location Analytics?

Location and Privacy

Types of Location Data

Location Collection Technologies

Use Cases

Asset Recovery

Customer Engagement

Staffing Priorities

Space Utilization

Cause and Effect

Customer Profiles

Data Variability

Potential Problems in Data Collection

Leveraging SAS Event Stream Processing to Adapt

Model to Passively Track Staff and Customers

Conclusion

About the Contributor

Introduction

The proliferation of smart phones has opened innumerable possibilities for location-based analytics in many consumer industries. Even so, geolocation data reliability can vary wildly with changing environmental ...

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