6. Infinity architecture
+
ecosystemLeverages
Infinity Tagging
Unified Tag for data
collection and content
presentation
For all digital properties and
the IoT
Across a Globally
distributed network
Infinity Data
Processing
Unstructured but organized
for fast access
One place for all data
storage
All data stored at the
granularity of an individual
Complete dataset with no
sampling
Infinity Data Storage
Patent pending
Aggregations
& Accuracy
at Scale
Query
Processing
Streaming
Data
Data
Connectors
Object
Stitching
Predictive
Sciences
Infinity Data Query
& Manipulation
Infinity Core
Applications
Patent pending
Big Data – Data Lakes
REST API
BI/Visualization
Marketing Action Systems
Customer Data Warehouses
Streaming Data Delivery
Streaming&
Integrations
Event processing,
enrichment, user
identification &
sessionization
11. Data
Processing
Object identification &
stitching
Cookie-less tracking
SDK controls
Device augmentation
with Device Atlas,
NetAcuity
Real-time processing
HTTPS/SSL
Website/SharePoint/
Mobile Web
• Infinity JS Tag
• Optimized for mobile web
Mobile App (SDKs)
• iOS
• Android
• Windows
3rd party plug-ins
• DMP/DSP
• CRM
• 3rd party cookie
Data collection API
• IoT
• Offline
Single CDN-hosted tag
Streaming
data broker
Content presentation
• For testing and targeting
Real-time Edge Processing
EU
Only
World Wide
Collection
US Only
**Webtrends private network
17. Infinity Data Query
Infinity Data
Processing
Identified & Enriched
Visitor/Object
Sessions
Sessions
Your unsampled granular visitor data
DataCache
ecosystemLeverages
Optimized for fast access
Query results – Query
105
Jan 2014 – Dec 2014
• Session 25 – Visitor #1
• Session 26 – Visitor #1
• Open Session 30 –
Visitor #2
• Session 68
• Visitor #1
• Event
• Event
• …
• Session 25
• Visitor #1
• Event
• Event
• …
Unstructured Data
Closed Sessions
Open Sessions
3rd party data
Lookup data
Experiments, etc.
Visitor 1,2
18.
19. Webtrends Infinity
Webtrends bespoke query engine
Internet PGPPGP
SSL Tunnel
Enriches and transforms data
Customer Data
Warehouse
Big Data
Infrastructure
Internet Client
Introduction.. My history of Webtrends..
20+ year software company, we collect data, analysis of data, enrich an optimize the digital world.
I been working for 15+ years in building scalable architectures
The value of electrons moving quickly in your environment
Amount of IoT data has now surpassed user generated data.. We need more facebook users.
Examples of IoT data
Improve product development
Tesila Motors – 300 million miles of driver sensor data
Google only 100 million miles automated driving
Contextualization
Medical
Service
IoT doesn’t mean your refrigerator will call you or let you know what's for dinner
But appliances may keep service records up to date with the manufacturer to help energy efficiencies and detect malfunctions.
Introduce the idea of worlds colliding, the digital and the physical, that information will start to form each other and you don’t want to get stuck like George.
World are colliding.
Explain why its not just good enough to look at one set of data relative to another.
Get a quote from Ethan on a data scientists perspective of importance
"the ability to generate data has increased 100 fold and the volume of Internet of Things (IoT) electrons being processed by big data solutions is now 1/5th of all global firms. In addition, 78% of enterprise and SMB companies plan on adopting an IoT strategy in 2016” (Forrester Research).
Don’t want to get caught not paying attention to this data, unless you have the ability to look across this information you will be missing valuable insight in to your customers and opportunities to engage in a contextualized manner.
Introduce IoT game
Haven them engage during presentation.
Each try is on a 60 second timer
Every button set is randomly assigned to a 10 sec block
1-10 (Red)
11-20 (Blue)
21-30 (Green)
… so on
IoT Blog post…
What does realtime mean – survey people
Requirements for technology to be current
Talk about sources of data
What do you have to do to build a scalable collection system (ingestion)
Technology
Kafka
CAP Theorem
Minimal Processing
No batch
Key points
Single Common tag with CDN hosted option
Remote configuration
Tag auditing
Global data collection with Geo options/safe harbor
Real-time processing
Happening on the global collection servers
Device augmentation – for optimize
SDK controls – kill switch and decision point logic
Introduce IoT game
Haven them engage during presentation.