Administering Cisco DNA Spaces (DNASPA)

 

Course Overview

Cisco DNA Spaces helps resolve physical-space ‘blind spots’ in an organization. Through the Cisco wireless infrastructure, organizations can gain insights into how people and things move throughout their physical spaces. Based on these insights, organizations can drive operational efficiencies by monitoring and managing the location, movement, and utilization of assets.

Upon completion of the first day of the course, you will be able to describe how the DNA Spaces solution drives operational efficiencies in both consumer and enterprise environments. You will be able to cite use cases from major industry verticals. You will be able to identify procedures and applications when implementing DNA spaces in an organization that is getting ‘back to business’ during the Covid-19 period. You will be able to describe the three phases that comprise the DNA Spaces solution ‘SEE - ACT - EXTEND’. In addition, you will learn the solution’s security features in the context of customer data compliance requirements, including the General Data Protection Regulation (GDPR). Finally, you will be able to explain the DNA spaces licensing model.

The second and third days of the course you will review both basic and advanced ‘SEE – ACT – EXTEND’ elements. In addition, you will consider Data Analytics in the context of DNA Spaces. You will simultaneously perform a hands-on ‘deep-dive’ into the product. You will obtain an account in the DNA Spaces cloud, and then perform on-boarding of your lab pod’s wireless infrastructure. Subsequently, you will configure the DNA Spaces solution based on the ‘SEE – ACT - EXTEND’ model reviewed in day one. This will include elements such as behavioral metrics, location analytics, captive portals, profiling, customer engagements, Internet of Things, asset identification and management, and API interfaces for streaming and notifications. Through these activities you will familiarize yourself with the DNA Spaces App Center and IoT Device Marketplace.

The course qualifies for 18 Cisco Continuing Education Credits (CE).

Who should attend

The primary audience for this course is as follows:

  • Account Managers
  • Project Managers
  • Pre-sales Engineers
  • Implementation Engineers

Prerequisites

The knowledge and skills that a learner must have before attending this course are as follows:

  • Basic knowledge of networking concepts.
  • Basic knowledge of Wi-Fi concepts.
  • Basic knowledge of computer security.

Course Objectives

Upon completing this course, the learner will be able to meet these overall objectives:

  • Explain the DNA Spaces solution and its benefits
  • Present use cases based on industry vertical
  • Articulate the components and considerations for DNA spaces configuration in the context of Covid-19 ‘Back-to-Business’
  • Explain the DNA Spaces three-phased solution approach: SEE-ACT-EXTEND
  • Describe the ‘SEE’ phase of DNA Spaces and its components
  • Describe the ‘ACT’ phase of DNA Spaces and its components
  • Describe the ‘EXTEND’ phase of DNA Spaces and its components
  • List and describe the DNA Spaces licensing models
  • Explain the DNA Spaces security features in the context of customer data compliance
  • Describe the different DNA Spaces components, architectures, and their appropriate use cases
  • Describe the different DNA Spaces migration options
  • Describe how data analytics provided by DNA Spaces provides business intent
  • Discuss the DNA Spaces indoor Internet of Things (IoT) service and its use cases
  • Articulate Open Roaming and how it can boost
  • Wi-Fi-based revenue stream
  • Configure DNA Spaces onboarding
  • Configure and demonstrate DNA Spaces IoT Services
  • Configure DNA Spaces profiles, engagements, and triggers
  • Configure a captive portal
  • Perform simple API calls to DNA Spaces

Outline: Administering Cisco DNA Spaces (DNASPA)

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

Prices & Delivery methods

Online Training

Duration
3 days

Price
  • US$ 3,395
Classroom Training

Duration
3 days

Price
  • United States: US$ 3,395

Schedule

Currently there are no training dates scheduled for this course.