Cisco DNA Spaces helps resolve physical-space ‘blind spots’ inside an organization. Through 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.
This course enables learners how to use DNA Spaces to drive operational efficiency across environment types. Learners will understand use-cases and obtain the ability to identify procedures and applications when implementing and operating DNA spaces that are getting ‘back to business’ or business as usual.
This course covers both basic and advanced operational elements of DNA Spaces while considering Data Analytics in the context of DNA Spaces. You will perform a hands-on ‘deep-dive’ into the solution and perform on-boarding of wireless infrastructure. Subsequently, you will configure the DNA Spaces solution both tactically and strategically. 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. You will also explore DNA Spaces App Center and IoT Device Marketplace.
Student Testimonials
Instructor did a great job, from experience this subject can be a bit dry to teach but he was able to keep it very engaging and made it much easier to focus.
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Excellent presentation skills, subject matter knowledge, and command of the environment.
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Instructor was outstanding. Knowledgeable, presented well, and class timing was perfect.
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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.
Detailed Class Syllabus
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)
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 – DNA 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
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 6 – 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
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 DNA Spaces
Indoor IoT Components
Indoor IoT Gateway Types
Indoor IoT Control Flows
Indoor IoT Configuration
Configure Asset Management using IoT device
DNA Spaces APIs and Firehose
API configuration
SLA and monitoring
Firehose configuration (streaming data support)
DNA Spaces App Center
Extend location data into enterprise software platforms
Review enterprise application
Section 8 – 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