BI in the Sky: The New Rules of Cloud

Analytics

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Riding the Cloud Analytics Wave

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A Brief Look at Business Intelligence

Source: The Waves of BI, Wayne Eckerson

Source: Data Mart Consulting

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Welcome to the New Era of SMACT

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Today’s Agenda

Cloud Analytics in Action: Bonobos

SnapLogic Introduction and Demonstration

Discussion and Next Steps

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David Glueck: Data Science @ Bonobos

Founder of the data science and 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

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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

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Background: Our Journey to the Cloud

Got to start from scratch– 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

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Why Cloud Analytics?

Speed

• Time to get up and running greatly reduced

• 1 month vs. 6m-1yr

• Faster return

• 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

Flexibility

• Integrate new tools and data sources quickly

• Redshift is able to handle the volumes – 10tb today that will be growing by order of magnitude

Scale

Data Architecture

Amazon Redshift

Reporting Platform

Analytics Platform

Data Integration Platform

Real-Time Dashboards

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Results

Reduction in headcount to administer and maintain– 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

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A Few Tips

✔ Pick the high value use case first• Avoid the big bang• Pick something that does one thing well and then find a way to

adaptKnow what you need to get an A in• Management reporting and visibility was most important• Predictive analytics was coming, but not up frontKnow 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

businessThink like an investor• If you’re close the business, you’ll know what questions to ask• Become an extended part of the business

✔

✔

✔

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Today’s Agenda

Cloud Analytics in Action: Bonobos

SnapLogic Introduction and Demonstration

Discussion

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Introducing SnapLogic

Experienced Team– 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

Legacy data integration technologies are slowing down business growth and innovation in the era of social, mobile, analytics, cloud

computing and the Internet of Things.- Gaurav Dhillon, SnapLogic Founder and CEO

“

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The SnapLogic Elastic Integration PlatformSingle Platform to Connect Data, Apps and APIs

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Today’s Demonstrations

SnapLogic for Wave: Salesforce Analytics Cloud

SnapLogic for Amazon Redshift

SnapLogic for Big Data Integration

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Key Components of the SnapLogic Platform

Integration CloudDesigner, Manager, Dashboards

(Multi-tenant cloud service)

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“Cloudplex”

“Groundplex”

“Hadooplex”

SnaplexElastic execution

2New!

Snaps(Buy or Build)

3

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SnapLogic Modern Architecture: Elastic Scale

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

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SnapReduce and the Hadooplex

Hadooplex: Native YARN Application

MapReduce Generation

MapReduce

Snaplogic iPaaS + Hadoop

YARN

YARN

MapReduce

MapReduce MapReduce

MapReduce MapReduce

MapReduce MapReduce

= Snaplex Container

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Today’s Agenda

Cloud Analytics in Action: Bonobos

SnapLogic Introduction and Demonstration

Discussion

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Discussion

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