Section 1 – Cisco Spaces Solutions Overview
- Introduction – What is “Cisco Spaces”?
- Resolution of physical-space blind spot to better understand behavior and location of people and things
- Operationalizing Cisco Spaces
- Providing Data Analytics for Business Intelligence
- Operational Efficiency and productivity
- Improve customer experience
- Understand behavior and monetization
- Onboarding to provide customer acquisition and loyalty
- Enhance IT productivity
Section 2 – Cisco Spaces Use Cases
- Example Use Cases by Vertical
- Retail
- Healthcare
- Carpeted Enterprises
- Education
- Hospitality
- Manufacturing
- Education
- “Back-to-Business” – Observations, recommendations, and applications specific to safe Covid-19 reopening
Section 3 – ‘SEE-EXTEND-ACT’: Three-phased approach to extract maximum value from your Cisco wireless infrastructure.
- SEE-EXTEND-ACT
- SEE what’s happening at your properties
- Behavior Metrics
- Right Now
- Camera metrics
- Open roaming
- Location Analytics
- Detect and Locate
- Impact Analysis
- EXTEND platform capabilities and drive business outcomes
- High-performance streaming API (Firehose)
- Dashboard
- Native integration into enterprise software
- Apps Center for industry-specific solutions
- ACT on insights with digitization toolkits
- Internet of Things (IoT)
- Captive Portal
- Location Personas
- Engagements
- Asset Locator
- Proximity reporting
Section 4 – Cisco Spaces and Data Compliance
- Protecting data at rest and in transit
- Data Security Law compliance
Section 5 – Architecture Overview and Location Compute Models
- Supported Topologies
- On-premise Direct-Connect
- On-premise Cloud-enabled Connected Mobility Experience
- Cisco Spaces Connector
- Meraki
- Compute Model – On-Premise
- Compute Model – Cloud
- Migrating from Connected Mobility Experience/Mobility Services Engine (CMX/MSE) to Cisco Spaces
- Why Migrate to Cisco Spaces?
- Migration Options – Overview
- Migration Option 1 – Keep AireOS WLC and PI on-premise
- Migration Option 2 – Keep only AireOS WLC on-premise
- Migration Option 3 – Keep only Prime on-premise
- Migration Option 4 – Full stack migration
- Cisco Spaces – Ports, Protocols, and Data Flows
Section 6 – Getting started with Cisco Spaces: Onboarding
- Account Creation
- Connecting to Cisco Spaces and Network Onboarding
- Connecting to Cisco Spaces – Introduction
- Cisco Wireless Connectors
- Meraki Connector
- Configuring Locations
- Location Hierarchy - Introduction
- Location Hierarchy Creation – Automated Map Import
- Location Hierarchy Creation – Manual Configuration
- Location Hierarchy Configuration Best Practices
Section 7 – Advanced Topics
- Open Roaming
- Problem Statement
- The Players
- On-Boarding
- Configuration
- Indoor Internet of Things (IoT)
- Indoor IoT Problems
- Indoor IoT Solutions with Cisco Spaces
- Indoor IoT Components
- Indoor IoT Gateway Types
- Indoor IoT Control Flows
- Indoor IoT Configuration
- Configure Asset Management using IoT device
- Cisco Spaces APIs and Firehose
- API configuration
- SLA and monitoring
- Firehose configuration (streaming data support)
- Cisco Spaces App Center
- Extend location data into enterprise software platforms
- Review enterprise application
Section 8 – Cisco Spaces and Data Analytics
- Introduction to Data Analytics
- Data analytics review – mathematical, probability, and statistical functions
- Introduction to graphical functions and data structures to represent data
- Extracting data using Cisco Spaces APIs
- Proposed use cases:
- Determining physical location density based on telemetry data
- Build and index people proximity in a given space using dynamic clustering
- Predicting when a space’s capacity limits will be reached telemetry data
- Calculation of dynamic proximity coefficient. Example: ‘x’ number of people crowded around a moving crane. Currently this is done using RFID tags with maximum distance of 15 meters within 3 meters of precision
