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In this webinar, we talk about the shift in data gravity as more and more business applications are moving to the cloud, and how the ability to deliver analytics in the cloud has evolved from idea to enterprise reality with new solutions being announced constantly that appeal to the need for speed, simplicity and access to insight on demand. Joining us in this webinar is David Glueck, Sr. Director of Data Science and Engineering at Bonobos. To learn more, visit: www.SnapLogic.com/salesforce-analytics
Citation preview
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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Linkedin.com/company/snaplogic_2
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