Petabytes to Personalization - Data Analytics with Qubit and Looker
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Mark Rittman, Senior Product Manager at Qubit, discusses leveraging data analytics for creating personalized consumer experiences using Qubit and Looker. The presentation highlights Qubit's capabilities in real-time data processing and personalization strategies with significant data volume metrics. Collaboration between Qubit and Looker aims to enhance data accessibility and analytics for e-commerce brands.
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
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- 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
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- 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