The document discusses cloud analytics, focusing on Bonobos, a leading e-commerce apparel brand, highlighting its transition to cloud-based data systems for improved efficiency and analytics capabilities. It emphasizes the advantages of cloud analytics such as reduced setup time, flexibility, and scalable data management through platforms like Amazon Redshift and SnapLogic. The presentation also addresses strategic tips for implementing cloud analytics effectively, including selecting high-value use cases and aligning teams with business objectives.

1. BI in the Sky:
The New Rules of Cloud Analytics

2. Riding the Cloud Analytics Wave
2

3. A Brief Look at Business Intelligence
Source: The Waves of BI, Wayne Eckerson
3
Source: Data Mart Consulting

4. Welcome to the New Era of SMACT
4

5. Today’s Agenda
 Cloud Analytics in Action: Bonobos
 SnapLogic Introduction and Demonstration
 Discussion and Next Steps
5

6. David Glueck: Data Science @ Bonobos
 Founder of the data science and
6
engineering team at Bonobos
– The largest e-commerce-born apparel
brand in the US
 Prior to Bonobos, held business
intelligence roles at:
– Groupon
– Netflix
– HP
– Knightsbridge Consulting
– Cisco

7. Bonobos is a clothing brand
focused on delivering great fit,
excellent customer experience,
and a fun approach to
menswear. Launched online in
2007 with its signature line of
better-fitting men's pants,
Bonobos is now the largest
apparel brand ever built on the
web in the United States.
Bonobos was named “One of America’s
Hottest Brands” by Advertising Age, “Best
Men’s Pants” by New York Magazine, one
of Inc. Magazine’s “20 Awesome
Facebook Pages” and was awarded
Crain’s “Best Places to Work in New York
City” in 2011 and 2013
7 7

8. Background: Our Journey to the Cloud
 Got to start from scratch
8
– Company founded in 2007
– Didn’t have to worry about legacy
architecture
 Source systems are in the cloud
– Website, email, ticketing service
– Cloud was a natural choice
 Netflix example is a good one
– This is where every company wants to go

9. Why Cloud Analytics?
9
Speed
• Time to get up and
running greatly
reduced
• 1 month vs. 6m-1yr
• Faster return
Flexibility
• The landscape was
changing rapidly –
our needs were also
changing as we grew
• Didn’t want to buy
into a stack and get
painted into a corner
- switching costs high
• Started with MySQL
and then came
Redshift
Scale
• Integrate new tools
and data sources
quickly
• Redshift is able to
handle the volumes
– 10tb today that
will be growing by
order of magnitude

10. Data Architecture
Amazon
Redshift
Reporting Platform
Analytics Platform
Data Integration Platform
Real-Time Dashboards

11. Results
 Reduction in headcount to administer and maintain
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– Economies of scale - more effective and efficient
 Lowers the barrier to entry for advanced analytics
– Large scale analytics and advanced algorithms used to require
large scale investment
– Now available at smaller scale using cost effective shared
services
 Insights:
– Visibility to active customer base and lifetime value
– Deeper understanding of return rates, and market potential
– Ability to identify relevant, personalized products for marketing
messaging

12. A Few Tips
✔ Pick the high value use case first
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• Avoid the big bang
• Pick something that does one thing well and then find a way to
adapt
Know what you need to get an A in
• Management reporting and visibility was most important
• Predictive analytics was coming, but not up front
Know what you want to accomplish and why
• Team must align with the business
• Make it clear what each member of the team is doing
• If it’s reporting and BI, how to do more effective visualization and
craft a clear message to the business
• If it’s data science – know how this algorithm is relevant for the
business
Think like an investor
• If you’re close the business, you’ll know what questions to ask
• Become an extended part of the business
✔
✔
✔

13. Today’s Agenda
 Cloud Analytics in Action: Bonobos
 SnapLogic Introduction and Demonstration
 Discussion
13

14. Introducing SnapLogic
Legacy data integration technologies are slowing down
business growth and innovation in the era of social,
mobile, analytics, cloud computing and the Internet of
 Experienced Team
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– CEO founded and ran Informatica
– Leadership from INFA, Salesforce, MSFT
 Board of Directors
– Andreessen Horowitz & Ignition
 CIO Advisory Board
– AstraZenica, Cisco, Clorox, HP, Yahoo
 Headquarters
– San Mateo, CA
Things.
“
- Gaurav Dhillon, SnapLogic Founder and CEO
“

15. The SnapLogic Elastic Integration Platform
Single Platform to Connect Data, Apps and APIs
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16. Today’s Demonstrations
 SnapLogic for Wave: Salesforce Analytics Cloud
 SnapLogic for Amazon Redshift
 SnapLogic for Big Data Integration
16

17. Key Components of the SnapLogic Platform
17
Integration Cloud
1
Designer, Manager, Dashboards
(Multi-tenant cloud service)
“Cloudplex”
“Groundplex”
“Hadooplex”
Snaplex
Elastic execution
2
New!
Snaps
(Buy or
Build)
3

18. SnapLogic Modern Architecture: Elastic Scale
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Cloud to On-Prem
Snaplex
REST
Hybrid
Snaplex
• Streams: No data is
stored/cached
• Secure: 100%
standards-based
• Elastic: Scales out &
handles data and app
integration use cases
REST
Metadata
Data

19. SnapReduce and the Hadooplex
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Hadooplex: Native YARN Application
MapReduce Generation
MapReduce
Snaplogic iPaaS + Hadoop
YARN
YARN
MapReduce
MapReduce MapReduce
MapReduce MapReduce
MapReduce MapReduce
= Snaplex Container

20. Today’s Agenda
 Cloud Analytics in Action: Bonobos
 SnapLogic Introduction and Demonstration
 Discussion
20

21. Discussion
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