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