Big Data is Big Business in Boston - Case of too many Bs
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Transcript of Big Data is Big Business in Boston - Case of too many Bs
Rodan ZadehBig Data Is Big Business for Boston
Case of Too Many B’s
My Thesis from MIT
Joseph Pine – Mass Customization
CIOs Investment
• The Global CIO Survey 2014-2015• CSC and IDG
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’
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
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
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.
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
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
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
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
Thank You
• 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