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Administering Cisco DNA Spaces (DNASPA)

Detaillierter Kursinhalt

Day 1

Section 1 – DNA Spaces Solutions Overview

  • Introduction – What is “DNA Spaces”?
    • Resolution of physical-space blind spot to better understand behavior and location of people and things
  • Operationalizing DNA 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 – DNA 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
    • Overview
  • 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)
    • Partner 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
  • Provide a half-hour review of the product via NterOne’s DNA Spaces cloud account

Section 4 – DNA Spaces Licensing

  • License Models
  • Procurement and Terms

Section 5 – DNA Spaces and Customer Data Compliance

  • Protecting data at rest and in transit
  • Data Security Law compliance

Days 2 and 3 Section 6 - Architecture Overview and Location Compute Models

  • Supported Topologies
    • On-premise Direct-Connect
    • On-premise Cloud-enabled Connected Mobility Experience
    • DNA Spaces Connector
    • Meraki
  • Compute Model – On-Premise
  • Compute Model – Cloud
  • Migrating from Connected Mobility Experience/Mobility Services Engine (CMX/MSE) to DNA Spaces
    • Why Migrate to DNA 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
  • DNA Spaces – Ports, Protocols, and Data Flows

Section 7 – Getting started with DNA Spaces: Onboarding

  • Account Creation
  • Connecting to DNA Spaces and Network Onboarding
    • Connecting to DNA 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
  • Labs 1-3 (See below)

Section 8 – Advanced Topics

  • Open Roaming
    • Problem Statement
    • The Players
    • On-Boarding
    • Configuration
  • Lab 4 (See below)
  • Indoor Internet of Things (IoT)
    • Indoor IoT Problem Statement
    • Indoor IoT with DNA Spaces - Benefits
    • Indoor IoT Components
    • Indoor IoT Gateway Types
    • Indoor IoT Control Flows
    • Indoor IoT Configuration
    • Configure Asset Management using IoT device
  • Lab 5-8 (See below)
  • DNA Spaces APIs and Firehose
    • API configuration
    • SLA and monitoring
    • Firehose configuration (streaming data support)
  • DNA Spaces App Center
    • Review and evaluate Stanley Health Care App
  • Extend location data into enterprise software platforms (optional)
    • Review enterprise application (e.g., Salesforce, SAP connector)
  • Partner Dashboard (optional)

Section 9 – DNA 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 DNA 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
 
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