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Delivering The Complete Customer View:
Today’s Table Stakes
#mongodbretail
Director, Business Development, Infusion
Director, Solution Architecture, MongoDB
Edouard Servan-Schreiber
Stephen Eyre
Global Business Architect, MongoDB
Rebecca Bucnis
“It’s not information overload.
It’s filter failure.”
- Clay Shirky, author, teacher, consultant
Presenters
Rebecca Bucnis
Global Business Architect
- Business Strategy
- Former Retailer
rebecca.bucnis@mongodb.com
Edouard Servan-Schreiber
Director, Solution Architecture
- Delivery of Solutions, Pre-Sales
-  North America, APAC
-  edouard@mongodb.com
@rebeccabucnis @infusiontweets @edouardss
Stephen Eyre
Director, Business Development
-  Delivering Consumer Experience
-  Europe
-  Seyre@infusion.com
Agenda
Introduction
Why Infusion & MongoDB
The 4 Imperatives
The Differentiators
Customer Successes
Q&A
Infusion & MongoDB Together
Technology/
Infrastructure
Brand
(the
experience)
People/
Processes
Consumer Business is evolving across dimensions
Consumer driving Digital Experience
Retail: Your chance to drive…
xx
Retail: …or at least,
create some roads to follow
xx
1.  Know the Consumer = Consumer 360°
Theme: Understand customer and personas
Challenge: Device proliferation, legacy silo systems
MongoDB Examples: Pearson Intl, Otto, Bouygues Telecom
4 Imperatives for the Digital Consumer
1.  Know the Consumer = Consumer 360°
4 Imperatives for the Digital Consumer
2. Be Relevant and Pertinent:
Real-time Content with relevant messaging
Theme: Every customer is unique
Challenges: Varied content, insufficient access to analytics
MongoDB Examples: Otto, Craigslist, Retail Industry
4 Imperatives for the Digital Consumer
3. Be available for the Consumer:
Time, Space & Geo-Aware Selling = Mobility
Digital Consumer Apps Knowledgeable Associates
Theme: Relevance and convenience
Challenge: Information availability & expectations
Examples: Retail giants, Retail Banks, European Bank
4 Imperatives for the Digital Consumer
4. Social Selling Experience = Entertainment & Trust
Theme: “The Brand is a Platform”
Challenge: Capture & Share appropriate details
MongoDB Examples: Foursquare, eBay, European Bank
4 Imperatives for the Digital Consumer
Then
Brand push Customer on demand
Drive to Location Always & Mobility
Weekly Ads Personalized Info
Company Info Social feedback
Now
Enabling agile delivery of seamless interactions & selling
MongoDB Strategic Advantages
Horizontally Scalable
-Sharding
Agile
Flexible
High Performance &
Strong Consistency
Application"
Highly
Available
-Replica Sets
{ customer: “roger”,
date: new Date(),
comment: “Spirited Away”,
tags: [“Tezuka”, “Manga”]}
Documents let you build your data to fit
your application
Relational MongoDB
{ !customer_id : 1,!
!name : "Mark Smith",!
!city : "San Francisco",!
!orders: [ !{!
! !order_number : 13,!
! !store_id : 10,!
! !date: “2014-01-03”,!
! !products: [!
! ! !{SKU: 24578234,!
! ! ! Qty: 3,!
! ! ! Unit_price: 350},!
! ! !{SKU: 98762345,!
! ! ! Qty: 1,!
! ! ! Unit_Price: 110}!
! ! !]!
! !},!
! !{ <...> }!
!]!
}!
CustomerID	
   First	
  Name	
   Last	
  Name	
   City	
  
0	
   John	
   Doe	
   New	
  York	
  
1	
   Mark	
   Smith	
   San	
  Francisco	
  
2	
   Jay	
   Black	
   Newark	
  
3	
   Meagan	
   White	
   London	
  
4	
   Edward	
   Danields	
   Boston	
  
Order	
  Number	
   Store	
  ID	
   	
  Product	
   Customer	
  ID	
  
10	
   100	
   Tablet	
   0	
  
11	
   101	
   Smartphone	
   0	
  
12	
   101	
   Dishwasher	
   0	
  
13	
   200	
   Sofa	
   1	
  
14	
   200	
   Coffee	
  table	
   1	
  
15	
   201	
   Suit	
   2	
  
Notions
RDBMS MongoDB
Database Database
Table Collection
Row Document
Column Field
{ customer_id: 4839475638,!
name: { first: “Dwight”, last: “Merriman” },!
email: { primary: dwight@mongodb.com, !
! other: [dwight.merriman@mongodb.com, dwight@10gen.com]!
! },!
phone: { mobile : <…>, fixed : <…> }!
post: { “229 W 43rd St, NY NY 10036”, ... },!
social: [ {twitter: dmerriman}, {facebook: dmerriman}, … ],!
orders: [{order_id : 13, …, items: [{SKU: 24578234,…},…] }, …],!
clickstream: [ <SKU1>, <SKU2>, …],!
last_login: <date>,!
attributes: [“val_hi”, “behav_timepoor”, “nbo_offer34”, … ],!
primary_location: [ <latitude> , <longitude> ],!
… }!
“Single View of Customer” Schema
{ customer_id: 4839475638,!
name: { first: “Dwight”, last: “Merriman” },!
email: { primary: dwight@mongodb.com, !
! other: [dwight.merriman@mongodb.com, dwight@10gen.com]!
! },!
phone: { mobile : <…>, fixed : <…> }!
post: { “229 W 43rd St, NY NY 10036”, ... },!
social: [ {twitter: dmerriman}, {facebook: dmerriman}, … ],!
orders: [{order_id : 13, …, items: [{SKU: 24578234,…},…] }, …],!
clickstream: [ <SKU1>, <SKU2>, …],!
last_login: <date>,!
attributes: [“val_hi”, “behav_timepoor”, “nbo_offer34”, … ],!
primary_location: [ <latitude> , <longitude> ],!
… }!
“Single View of Customer” Schema
Key for the document
{ customer_id: 4839475638,!
name: { first: “Dwight”, last: “Merriman” },!
email: { primary: dwight@mongodb.com, !
! other: [dwight.merriman@mongodb.com, dwight@10gen.com]!
! },!
phone: { mobile : <…>, fixed : <…> }!
post: { “229 W 43rd St, NY NY 10036”, ... },!
social: [ {twitter: dmerriman}, {facebook: dmerriman}, … ],!
orders: [{order_id : 13, …, items: [{SKU: 24578234,…},…] }, …],!
clickstream: [ <SKU1>, <SKU2>, …],!
last_login: <date>,!
attributes: [“val_hi”, “behav_timepoor”, “nbo_offer34”, … ],!
primary_location: [ <latitude> , <longitude> ],!
… }!
“Single View of Customer” Schema
Contact Information
{ customer_id: 4839475638,!
name: { first: “Dwight”, last: “Merriman” },!
email: { primary: dwight@mongodb.com, !
! other: [dwight.merriman@mongodb.com, dwight@10gen.com]!
! },!
phone: { mobile : <…>, fixed : <…> }!
post: { “229 W 43rd St, NY NY 10036”, ... },!
social: [ {twitter: dmerriman}, {facebook: dmerriman}, … ],!
orders: [{order_id : 13, …, items: [{SKU: 24578234,…},…] }, …],!
clickstream: [ <SKU1>, <SKU2>, …],!
last_login: <date>,!
attributes: [“val_hi”, “behav_timepoor”, “nbo_offer34”, … ],!
primary_location: [ <latitude> , <longitude> ],!
… }!
“Single View of Customer” Schema
Activity and Purchases
{ customer_id: 4839475638,!
name: { first: “Dwight”, last: “Merriman” },!
email: { primary: dwight@mongodb.com, !
! other: [dwight.merriman@mongodb.com, dwight@10gen.com]!
! },!
phone: { mobile : <…>, fixed : <…> }!
post: { “229 W 43rd St, NY NY 10036”, ... },!
social: [ {twitter: dmerriman}, {facebook: dmerriman}, … ],!
orders: [{order_id : 13, …, items: [{SKU: 24578234,…},…] }, …],!
clickstream: [ <SKU1>, <SKU2>, …],!
last_login: <date>,!
attributes: [“val_hi”, “behav_timepoor”, “nbo_offer34”, … ],!
primary_location: [ <latitude> , <longitude> ],!
… }!
“Single View of Customer” Schema
Analytic Scores
{ customer_id: 4839475638,!
name: { first: “Dwight”, last: “Merriman” },!
email: { primary: dwight@mongodb.com, !
! other: [dwight.merriman@mongodb.com, dwight@10gen.com]!
! },!
phone: { mobile : <…>, fixed : <…> }!
post: { “229 W 43rd St, NY NY 10036”, ... },!
social: [ {twitter: dmerriman}, {facebook: dmerriman}, … ],!
orders: [{order_id : 13, …, items: [{SKU: 24578234,…},…] }, …],!
clickstream: [ <SKU1>, <SKU2>, …],!
last_login: <date>,!
attributes: [“val_hi”, “behav_timepoor”, “nbo_offer34”, … ],!
primary_location: [ <latitude> , <longitude> ],!
… }!
“Single View of Customer” Schema
Geolocation
• A multi-channel, multi-
service telecomm
provider
• Desire to better service
them from a customer
insight perspective
• Previously unable to
create a total view
• Super-set view of
customer with
MongoDB
Customer Examples
• A social platform
• Provides social and
geographic context to
people
• Entertaining them and
rewarding them for
business
• Manage check-ins and
capture & distribute
content with MongoDB
Customer Examples
•  Retail Insurance
•  150 years of history and policy data,
70+ source systems
•  Unable to consolidate view of
customer over multiple years
•  Created “The Wall” for 360° view of customer
Customer Examples
Selling the Idea
• 2 week “Vision Prototype”
• Supported with marketing
material (designed to go
viral) in order to drive
further buy-in
• Produced commitment
from the business to
deploy ASAP
Our Approach: GO FAST
Delivering the App.
• Highly collaborative
• 70+ person project
team
• 5 team members
from Infusion
• 90 days
Dramatic Productivity Enhancements
How to start –
Adapt, don’t abandon your process...
Drive Consumer Digital Strategy
1.  Know your customer
2.  Be relevant and pertinent
3.  Be available for your customer
4.  Create the social selling
experience
5.  Move forward swiftly with
trustworthy strategy & platform
Questions?
Resources
White Paper: Big Data: Examples and
Guidelines for the Enterprise Decision Maker
http://www.mongodb.com/lp/
whitepaper/big-data-nosql
Recorded Webinar Series: Thrive with Big
Data
http://www.mongodb.com/lp/
big-data-series
Recorded Webinar: What’s New with
MongoDB Hadoop Integration
http://www.mongodb.com/
presentations/webinar-whats-
new-mongodb-hadoop-
integration
Recorded Webinar: Omni-Channel Retailing
One Step at a Time
http://www.mongodb.com/
presentations/webinar-omni-
channel-retailing
White Paper: Bringing Online Big Data to BI
& Analytics
http://info.mongodb.com/rs/
mongodb/images/
MongoDB_BI_Analytics.pdf
All things Infusion www.infusion.com
Resource Location
Join us again!
Webinar #3:
“Mobility: It’s Time to be Available”
When:
Wednesday, May 15
Link:
www.mongodb.com/webinar
Thank You!
@rebeccabucnis @infusiontweets @edouardss

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Webinar: Delivering the Complete Customer View - Today’s Table Stakes by Infusion & MongoDB

  • 1. Delivering The Complete Customer View: Today’s Table Stakes #mongodbretail Director, Business Development, Infusion Director, Solution Architecture, MongoDB Edouard Servan-Schreiber Stephen Eyre Global Business Architect, MongoDB Rebecca Bucnis
  • 2. “It’s not information overload. It’s filter failure.” - Clay Shirky, author, teacher, consultant
  • 3. Presenters Rebecca Bucnis Global Business Architect - Business Strategy - Former Retailer rebecca.bucnis@mongodb.com Edouard Servan-Schreiber Director, Solution Architecture - Delivery of Solutions, Pre-Sales -  North America, APAC -  edouard@mongodb.com @rebeccabucnis @infusiontweets @edouardss Stephen Eyre Director, Business Development -  Delivering Consumer Experience -  Europe -  Seyre@infusion.com
  • 4. Agenda Introduction Why Infusion & MongoDB The 4 Imperatives The Differentiators Customer Successes Q&A
  • 5. Infusion & MongoDB Together Technology/ Infrastructure Brand (the experience) People/ Processes Consumer Business is evolving across dimensions
  • 7. Retail: Your chance to drive… xx
  • 8. Retail: …or at least, create some roads to follow xx
  • 9. 1.  Know the Consumer = Consumer 360° Theme: Understand customer and personas Challenge: Device proliferation, legacy silo systems MongoDB Examples: Pearson Intl, Otto, Bouygues Telecom 4 Imperatives for the Digital Consumer
  • 10. 1.  Know the Consumer = Consumer 360° 4 Imperatives for the Digital Consumer
  • 11. 2. Be Relevant and Pertinent: Real-time Content with relevant messaging Theme: Every customer is unique Challenges: Varied content, insufficient access to analytics MongoDB Examples: Otto, Craigslist, Retail Industry 4 Imperatives for the Digital Consumer
  • 12. 3. Be available for the Consumer: Time, Space & Geo-Aware Selling = Mobility Digital Consumer Apps Knowledgeable Associates Theme: Relevance and convenience Challenge: Information availability & expectations Examples: Retail giants, Retail Banks, European Bank 4 Imperatives for the Digital Consumer
  • 13. 4. Social Selling Experience = Entertainment & Trust Theme: “The Brand is a Platform” Challenge: Capture & Share appropriate details MongoDB Examples: Foursquare, eBay, European Bank 4 Imperatives for the Digital Consumer
  • 14. Then Brand push Customer on demand Drive to Location Always & Mobility Weekly Ads Personalized Info Company Info Social feedback Now Enabling agile delivery of seamless interactions & selling
  • 15. MongoDB Strategic Advantages Horizontally Scalable -Sharding Agile Flexible High Performance & Strong Consistency Application" Highly Available -Replica Sets { customer: “roger”, date: new Date(), comment: “Spirited Away”, tags: [“Tezuka”, “Manga”]}
  • 16. Documents let you build your data to fit your application Relational MongoDB { !customer_id : 1,! !name : "Mark Smith",! !city : "San Francisco",! !orders: [ !{! ! !order_number : 13,! ! !store_id : 10,! ! !date: “2014-01-03”,! ! !products: [! ! ! !{SKU: 24578234,! ! ! ! Qty: 3,! ! ! ! Unit_price: 350},! ! ! !{SKU: 98762345,! ! ! ! Qty: 1,! ! ! ! Unit_Price: 110}! ! ! !]! ! !},! ! !{ <...> }! !]! }! CustomerID   First  Name   Last  Name   City   0   John   Doe   New  York   1   Mark   Smith   San  Francisco   2   Jay   Black   Newark   3   Meagan   White   London   4   Edward   Danields   Boston   Order  Number   Store  ID    Product   Customer  ID   10   100   Tablet   0   11   101   Smartphone   0   12   101   Dishwasher   0   13   200   Sofa   1   14   200   Coffee  table   1   15   201   Suit   2  
  • 17. Notions RDBMS MongoDB Database Database Table Collection Row Document Column Field
  • 18. { customer_id: 4839475638,! name: { first: “Dwight”, last: “Merriman” },! email: { primary: dwight@mongodb.com, ! ! other: [dwight.merriman@mongodb.com, dwight@10gen.com]! ! },! phone: { mobile : <…>, fixed : <…> }! post: { “229 W 43rd St, NY NY 10036”, ... },! social: [ {twitter: dmerriman}, {facebook: dmerriman}, … ],! orders: [{order_id : 13, …, items: [{SKU: 24578234,…},…] }, …],! clickstream: [ <SKU1>, <SKU2>, …],! last_login: <date>,! attributes: [“val_hi”, “behav_timepoor”, “nbo_offer34”, … ],! primary_location: [ <latitude> , <longitude> ],! … }! “Single View of Customer” Schema
  • 19. { customer_id: 4839475638,! name: { first: “Dwight”, last: “Merriman” },! email: { primary: dwight@mongodb.com, ! ! other: [dwight.merriman@mongodb.com, dwight@10gen.com]! ! },! phone: { mobile : <…>, fixed : <…> }! post: { “229 W 43rd St, NY NY 10036”, ... },! social: [ {twitter: dmerriman}, {facebook: dmerriman}, … ],! orders: [{order_id : 13, …, items: [{SKU: 24578234,…},…] }, …],! clickstream: [ <SKU1>, <SKU2>, …],! last_login: <date>,! attributes: [“val_hi”, “behav_timepoor”, “nbo_offer34”, … ],! primary_location: [ <latitude> , <longitude> ],! … }! “Single View of Customer” Schema Key for the document
  • 20. { customer_id: 4839475638,! name: { first: “Dwight”, last: “Merriman” },! email: { primary: dwight@mongodb.com, ! ! other: [dwight.merriman@mongodb.com, dwight@10gen.com]! ! },! phone: { mobile : <…>, fixed : <…> }! post: { “229 W 43rd St, NY NY 10036”, ... },! social: [ {twitter: dmerriman}, {facebook: dmerriman}, … ],! orders: [{order_id : 13, …, items: [{SKU: 24578234,…},…] }, …],! clickstream: [ <SKU1>, <SKU2>, …],! last_login: <date>,! attributes: [“val_hi”, “behav_timepoor”, “nbo_offer34”, … ],! primary_location: [ <latitude> , <longitude> ],! … }! “Single View of Customer” Schema Contact Information
  • 21. { customer_id: 4839475638,! name: { first: “Dwight”, last: “Merriman” },! email: { primary: dwight@mongodb.com, ! ! other: [dwight.merriman@mongodb.com, dwight@10gen.com]! ! },! phone: { mobile : <…>, fixed : <…> }! post: { “229 W 43rd St, NY NY 10036”, ... },! social: [ {twitter: dmerriman}, {facebook: dmerriman}, … ],! orders: [{order_id : 13, …, items: [{SKU: 24578234,…},…] }, …],! clickstream: [ <SKU1>, <SKU2>, …],! last_login: <date>,! attributes: [“val_hi”, “behav_timepoor”, “nbo_offer34”, … ],! primary_location: [ <latitude> , <longitude> ],! … }! “Single View of Customer” Schema Activity and Purchases
  • 22. { customer_id: 4839475638,! name: { first: “Dwight”, last: “Merriman” },! email: { primary: dwight@mongodb.com, ! ! other: [dwight.merriman@mongodb.com, dwight@10gen.com]! ! },! phone: { mobile : <…>, fixed : <…> }! post: { “229 W 43rd St, NY NY 10036”, ... },! social: [ {twitter: dmerriman}, {facebook: dmerriman}, … ],! orders: [{order_id : 13, …, items: [{SKU: 24578234,…},…] }, …],! clickstream: [ <SKU1>, <SKU2>, …],! last_login: <date>,! attributes: [“val_hi”, “behav_timepoor”, “nbo_offer34”, … ],! primary_location: [ <latitude> , <longitude> ],! … }! “Single View of Customer” Schema Analytic Scores
  • 23. { customer_id: 4839475638,! name: { first: “Dwight”, last: “Merriman” },! email: { primary: dwight@mongodb.com, ! ! other: [dwight.merriman@mongodb.com, dwight@10gen.com]! ! },! phone: { mobile : <…>, fixed : <…> }! post: { “229 W 43rd St, NY NY 10036”, ... },! social: [ {twitter: dmerriman}, {facebook: dmerriman}, … ],! orders: [{order_id : 13, …, items: [{SKU: 24578234,…},…] }, …],! clickstream: [ <SKU1>, <SKU2>, …],! last_login: <date>,! attributes: [“val_hi”, “behav_timepoor”, “nbo_offer34”, … ],! primary_location: [ <latitude> , <longitude> ],! … }! “Single View of Customer” Schema Geolocation
  • 24. • A multi-channel, multi- service telecomm provider • Desire to better service them from a customer insight perspective • Previously unable to create a total view • Super-set view of customer with MongoDB Customer Examples
  • 25. • A social platform • Provides social and geographic context to people • Entertaining them and rewarding them for business • Manage check-ins and capture & distribute content with MongoDB Customer Examples
  • 26. •  Retail Insurance •  150 years of history and policy data, 70+ source systems •  Unable to consolidate view of customer over multiple years •  Created “The Wall” for 360° view of customer Customer Examples
  • 27. Selling the Idea • 2 week “Vision Prototype” • Supported with marketing material (designed to go viral) in order to drive further buy-in • Produced commitment from the business to deploy ASAP Our Approach: GO FAST Delivering the App. • Highly collaborative • 70+ person project team • 5 team members from Infusion • 90 days
  • 29. How to start – Adapt, don’t abandon your process...
  • 30. Drive Consumer Digital Strategy 1.  Know your customer 2.  Be relevant and pertinent 3.  Be available for your customer 4.  Create the social selling experience 5.  Move forward swiftly with trustworthy strategy & platform
  • 32. Resources White Paper: Big Data: Examples and Guidelines for the Enterprise Decision Maker http://www.mongodb.com/lp/ whitepaper/big-data-nosql Recorded Webinar Series: Thrive with Big Data http://www.mongodb.com/lp/ big-data-series Recorded Webinar: What’s New with MongoDB Hadoop Integration http://www.mongodb.com/ presentations/webinar-whats- new-mongodb-hadoop- integration Recorded Webinar: Omni-Channel Retailing One Step at a Time http://www.mongodb.com/ presentations/webinar-omni- channel-retailing White Paper: Bringing Online Big Data to BI & Analytics http://info.mongodb.com/rs/ mongodb/images/ MongoDB_BI_Analytics.pdf All things Infusion www.infusion.com Resource Location
  • 33. Join us again! Webinar #3: “Mobility: It’s Time to be Available” When: Wednesday, May 15 Link: www.mongodb.com/webinar