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Petabytes to Personalization:
Data Analytics with Qubit & Looker
Mark Rittman, Senior Product Manager for Analytics
Looker JOIN 2017, San Francisco April 2017
Proprietary
● Mark Rittman, Senior Product Manager at Qubit
● 20+ years in the analytics, DW and big data industry
● Previously CTO and co-founder of analytics consultancy
● Responsible for analytics and reporting on Qubit platform
● Blogger at https://medium.com/mark-rittman
● Host of Drill to Detail podcast https://www.drilltodetail.com/
● Based in Brighton and London, UK
About the Speaker
Mark Rittman
Senior Product Manager
for Analytics, Qubit
mark.rittman@qubit.com
3Proprietary
Qubit was created to help companies meet
the demands of today’s consumer, using the technologies
powering the Big Data revolution
4Proprietary
5Proprietary
Personalized
experiences
Differentiated experiences
based on customer data
Data-driven
enhancements
Automated by customer,
product or business data
(Today)
Conversion rate
optimization
Simple changes and site
optimization
Cosmetic UX testing
In the beginning, it was all
about button colors
The journey from pages to people
Proprietary
Understand
based on data
Winning and Retaining Your Best Customers through Personalization
Identify
needs of
different people
Influence
at key moments
Page views Purchases
Value Brands
Colours Sizes
Stock Replies
Proprietary
Working with some of the largest eComm brands
Proprietary
120,000+
events/second
>2PB
70,000 tables
stored in BigQuery
Over 1bn
personalisations/day
Qubit by Numbers
9Proprietary
Identify
Onsite
behavioral
data
Onsite preference
data
Imported data
Segment and
experience data
Customer Data
Store
SegmentationEngine
ExperienceUpsell
ExperienceChurn Risk
VIP Experience
Influence
Programmatic
Experiences
Social Proof
Abandonment Recovery
Product Recommendations
Directed Experiences
Custom or templated
experiences aimed at
specific segments
Understand
Qubit Data Pipeline | Real-Time Data Ingestion and Processing of Raw Customer Events
10Proprietary
Qubit Live Tap : Product Overview
Onsite behavioral
data
Segment and
experience data
Onsite preference
data
Imported data
Raw, Event-Level Tables optimized for
fast ingest and processing
Industry-Vertical Business Views
Lightweight Semantic Model
● Fast, full width data access to query
every data point for every event, in
near real-time
● Powered by Google BigQuery and
Google Cloud Platform
● Direct access to underlying
QProtocol event views, or through
industry-specific Business Views
● Integration with Looker with
predefined Qubit Looker Blocks
● Supports ODBC access for other
popular BI + ETL tools
11Proprietary
Cohort Identification using
individual consumer event-
level activity
Pre and Post-Test Analysis
within Qubit Workflow
Post-test analysis using
experience results and
segment entry/exit data
Qubit Live Tap and Looker : Customer Use-Cases
Proprietary
Qubit & Looker
1
● Point and click analysis
● Seamless access to all your
Qubit data with dimensions
and key metrics
● Browser-based charting,
reporting and analysis
● Host it yourself or Qubit
hosted
● Getting started reports and
dashboards
13Proprietary
Qubit and Looker Architecture | Enabling Petabyte-Scale Analytics for Personalization
● Data hosted in Google BigQuery, with Looker BI
tool for point-and-click analysis and reporting
● Raw event-level data stored in 8,000+ raw
event-level tables
● Easy-access Live Tap Business Views provide
simple data model for BI tools
● Each Qubit customer has own GCP project with
full data isolation
● High-volume customer projects have views
materialized as BQ tables
● Industry-specific LookML model for each Qubit
customer
Raw, Event-Level Tables optimized for fast
ingest and processing
Industry-Vertical Business Views
Customer-Specific LookML Model
Materialized Historic
View Rows
Real-Time Data View
(Today’s Data)
Base Views Industry Extensions
Base + Industry Explore + Extensions
14Proprietary
Looker Devops and Automation | Productionizing Looker for Customer Project Hosting
● Qubit partner with Looker to offer
customers hosted Looker access
● Automated model deployment
creates customer-specific LookML
model that Qubit then manages
● Supports model extension and
extension by Qubit PS and partners
● Model upgrades preserve customer
extensions
● Limited to Qubit Customer Data Store
data only
Base Model
LookML Template
Industry Views
LookML Template
Client
Parameter Values
Generated Base
LookML Model
LookML
Customizations
Deployed
Client LookML Model
15Proprietary
16Proprietary
17Proprietary
18Proprietary
Looker Integration with Qubit Segments
coming soon in Fall 2017 (planned)
19Proprietary
Qubit is the leader in highly persuasive personalization at scale.
Looker is a modern data platform that makes data
more accessible and sharable.
Together, Qubit and Looker become a powerful team.
Petabytes to Personalization:
Data Analytics with Qubit & Looker
Mark Rittman, Senior Product Manager for Analytics
Looker JOIN 2017, San Francisco April 2017

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Petabytes to Personalization - Data Analytics with Qubit and Looker

  • 1. Petabytes to Personalization: Data Analytics with Qubit & Looker Mark Rittman, Senior Product Manager for Analytics Looker JOIN 2017, San Francisco April 2017
  • 2. Proprietary ● Mark Rittman, Senior Product Manager at Qubit ● 20+ years in the analytics, DW and big data industry ● Previously CTO and co-founder of analytics consultancy ● Responsible for analytics and reporting on Qubit platform ● Blogger at https://medium.com/mark-rittman ● Host of Drill to Detail podcast https://www.drilltodetail.com/ ● Based in Brighton and London, UK About the Speaker Mark Rittman Senior Product Manager for Analytics, Qubit mark.rittman@qubit.com
  • 3. 3Proprietary Qubit was created to help companies meet the demands of today’s consumer, using the technologies powering the Big Data revolution
  • 5. 5Proprietary Personalized experiences Differentiated experiences based on customer data Data-driven enhancements Automated by customer, product or business data (Today) Conversion rate optimization Simple changes and site optimization Cosmetic UX testing In the beginning, it was all about button colors The journey from pages to people
  • 6. Proprietary Understand based on data Winning and Retaining Your Best Customers through Personalization Identify needs of different people Influence at key moments Page views Purchases Value Brands Colours Sizes Stock Replies
  • 7. Proprietary Working with some of the largest eComm brands
  • 8. Proprietary 120,000+ events/second >2PB 70,000 tables stored in BigQuery Over 1bn personalisations/day Qubit by Numbers
  • 9. 9Proprietary Identify Onsite behavioral data Onsite preference data Imported data Segment and experience data Customer Data Store SegmentationEngine ExperienceUpsell ExperienceChurn Risk VIP Experience Influence Programmatic Experiences Social Proof Abandonment Recovery Product Recommendations Directed Experiences Custom or templated experiences aimed at specific segments Understand Qubit Data Pipeline | Real-Time Data Ingestion and Processing of Raw Customer Events
  • 10. 10Proprietary Qubit Live Tap : Product Overview Onsite behavioral data Segment and experience data Onsite preference data Imported data Raw, Event-Level Tables optimized for fast ingest and processing Industry-Vertical Business Views Lightweight Semantic Model ● Fast, full width data access to query every data point for every event, in near real-time ● Powered by Google BigQuery and Google Cloud Platform ● Direct access to underlying QProtocol event views, or through industry-specific Business Views ● Integration with Looker with predefined Qubit Looker Blocks ● Supports ODBC access for other popular BI + ETL tools
  • 11. 11Proprietary Cohort Identification using individual consumer event- level activity Pre and Post-Test Analysis within Qubit Workflow Post-test analysis using experience results and segment entry/exit data Qubit Live Tap and Looker : Customer Use-Cases
  • 12. Proprietary Qubit & Looker 1 ● Point and click analysis ● Seamless access to all your Qubit data with dimensions and key metrics ● Browser-based charting, reporting and analysis ● Host it yourself or Qubit hosted ● Getting started reports and dashboards
  • 13. 13Proprietary Qubit and Looker Architecture | Enabling Petabyte-Scale Analytics for Personalization ● Data hosted in Google BigQuery, with Looker BI tool for point-and-click analysis and reporting ● Raw event-level data stored in 8,000+ raw event-level tables ● Easy-access Live Tap Business Views provide simple data model for BI tools ● Each Qubit customer has own GCP project with full data isolation ● High-volume customer projects have views materialized as BQ tables ● Industry-specific LookML model for each Qubit customer Raw, Event-Level Tables optimized for fast ingest and processing Industry-Vertical Business Views Customer-Specific LookML Model Materialized Historic View Rows Real-Time Data View (Today’s Data) Base Views Industry Extensions Base + Industry Explore + Extensions
  • 14. 14Proprietary Looker Devops and Automation | Productionizing Looker for Customer Project Hosting ● Qubit partner with Looker to offer customers hosted Looker access ● Automated model deployment creates customer-specific LookML model that Qubit then manages ● Supports model extension and extension by Qubit PS and partners ● Model upgrades preserve customer extensions ● Limited to Qubit Customer Data Store data only Base Model LookML Template Industry Views LookML Template Client Parameter Values Generated Base LookML Model LookML Customizations Deployed Client LookML Model
  • 18. 18Proprietary Looker Integration with Qubit Segments coming soon in Fall 2017 (planned)
  • 19. 19Proprietary Qubit is the leader in highly persuasive personalization at scale. Looker is a modern data platform that makes data more accessible and sharable. Together, Qubit and Looker become a powerful team.
  • 20. Petabytes to Personalization: Data Analytics with Qubit & Looker Mark Rittman, Senior Product Manager for Analytics Looker JOIN 2017, San Francisco April 2017