big data is big business in boston - case of too many bs
TRANSCRIPT
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Rodan ZadehBig Data Is Big Business for Boston
Case of Too Many B’s
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My Thesis from MIT
Joseph Pine – Mass Customization
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CIOs Investment
• The Global CIO Survey 2014-2015• CSC and IDG
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BIG NEWS
• Some context• Recent investments
• Recent exits
• $19.9B in Q2 (all US VC)
• $32B in Q2 WW
• Shift to open source model• Moving from ‘Goods’ to ‘Services’
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B I G I N V E S T M E N T S
• Domo $200M Series D• Total $450M
• MarkLogic $102M Series F• Total $176M
• Banjo $100m Series C• Total $121M
• SumoLogic $80M Series E• Total $161M
• SnowFlake $45M Series C• Total $71M
• Saama Technologies $35M Series A
• Guavus $30M • Total $130M
• Lattice Engines $28M Series D• Total $75M
• Feedzai $17.5M Series B• Total $26M
• Rocana $15M Series B• Total $19.4M
• Windward $10.8M Series B• Total $15.8M
Company Amount
Lyra Health $3.1M
Maana $11M ($14M Total)
Massive Analytic $2M
Seed Round
Q2 2015
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B I G E X I T S
Company Acquired By Deal Size
Applied Predictive Technologies MasterCard $600M
ColdLight PTC $105M
Seed Scientific Spotify N/D
Next Big Sound Pandora N/D
Datazen Microsoft N/D
Whetlab Twitter N/D
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What’s Going On?
In case we haven’t noticed, there’s a radical sea change in how companies are operating, and it will impact every organization, every line of business, and every individual.
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Bimodal IT – Where’s the Value?
Traditional IT• Living with the knowns
• Schema on write
• RDBMS
• File Systems
• Single Source of truth
• Command and control
• User must be trained
• Redundant – High Availability
• ACID
• Resilient
‘New’ IT• Living with unknowns
• Schema on read
• NoSQL
• Object Storage
• Discovery
• Collaboration
• User ‘knows’
• Designed for Failure – Fail Fast
• Eventual Consistency
• Agile
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Supply Chain Consumption
PC ERP Internet
Supply Chain -Consumption
Systems of Records(1990 to 2010)
Adopted from Geoffrey Moore’s session at Hadoop Summit June 2015
Use Cases
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Drive Towards Customer Satisfaction
PC ERP Internet
Mobile Social Cloud
Supply Chain -Consumption
Customer Satisfaction
Systems of Engagement(2010 to 2020)
Systems of Records(1990 to 2010)
Adopted from Geoffrey Moore’s session at Hadoop Summit June 2015
Use Cases
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Predictive Trend Detection
Trend Detection
PC ERP Internet
Mobile Social Cloud
Supply Chain -Consumption
Customer Satisfaction
Systems of Engagement(2010 to 2020)
Systems of Insight(2020 to 2030)
Systems of Records(1990 to 2010)
Sensors Big Data Web-Scale
Adopted from Geoffrey Moore’s session at Hadoop Summit June 2015
Use Cases
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Thank You
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• Personal background• Cultural and social experience: First generation
immigrant• Innate curiosity: Had a science lab at 8 in my room• Technical propensity: Attended electronics
vocational school at 12• Entrepreneurial: Started my own business at 13
• Education• BS in Electrical Engineering / Information
Technologies• MS in Technology Management• ITIL v3, Cloud Architect, Hands-on Big Data
About Me