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The Future of Business Intelligence

Tim O’Reilly

April 12, 2010

Monday, April 19, 2010

“Major Strasser has been shot...
Round up the usual suspects”


Business Intelligence Web 2.0 Cloud Computing

“You keep using that word. I do not think it
means what you think it means.”


You may think of me as a book publisher


What We Really Do At O'Reilly

Change the world by spreading the
knowledge of innovators


“I’m an inventor.
I became interested in
long term trends
because an invention
has to make sense in the
world in which it is
finished, not the world in
which it is started.”
-Ray Kurzweil


O’Reilly Radar Methodology
 “The future is here. It’s just not evenly distributed
yet.” - William Gibson
 We “watch the alpha geeks” and think about the
futures they are living in
 We then look for trend data that tells us that a
particular future is becoming mainstream

 I’m going to tell you some seemingly unconnected
technology stories from the front lines of
innovation. Then we’re going to connect the dots.


<1>


 Hackers play
 Entrepreneurs build products for consumer early
adopters
 Enterprises follow

 We saw this with the PC, with the World Wide Web,
with open source software, with social networking


The cloud future includes...
 Devices acting as sensors for intelligent data
collection
 Devices whose UI is on the web rather than the
device
 Feeding data into multiple online services that will
turn into a full-on sensor web
 Setting the stage for robotics, augmented reality,
and the next generation of personal electronics
 Providing “personal business intelligence” (aka
“Quantified Self”)


<2>


What we see here
 Peer-to-peer credit card payments
 Social networks used for risk evaluation

 The PC is out of the loop
 The phone is a sensor platform
– Hardware add-on innovation
– Location based sensing
– Touch screen UI
 Processing is done in real time in the cloud
– Allowing processing that can’t be done on the device
– Big data analysis
– Building new networks on the back of existing ones
 Reinventing a major industry


<3>


The smart phone plus local search. Today pizza,

Little Caesar’s, 3900 Las Great Blvd South
Round Table Pizza, 4300 VegasAmerica Parkway
Anthony’s NY Fired, 3569 Las Vegas Expwy
Giovanni’sCoalPizzeria 1127 Lawrence Blvd South
Trattoria del Lupo, 3950 Las Vegas Blvd South
Little Caesar’s Pizza, 4767 Lafayette Street


An application running on a
mobile device whose user
interface is driven by sensors:

- Touch screen
- Motion and proximity sensors
- Microphone
- GPS or cell tower triangulation


An application that depends on
cooperating cloud data services:

- Speech recognition
- Search
- Location data


An application that applies
context-sensitive filters to give
users just the information they
need.


In real time


<4>


The Yelp Monocle
 Find cafes nearby.


<5>


Crowdsourcing includes the use of
humans as sensors


AMEE - the world’s energy meter


We’re moving to a world in which every device
generates useful data, in which every action
creates “information shadows” on the net.


<6>


 GoodData here


<7>


•Search in plain English
•Search by voice
•Traffic view
•Search along route
•Satellite view
•Street view


An application that
depends on cooperating
cloud data services:

- Location
- Search
- Speech recognition
- Live Traffic
- Imagery


The Internet Operating System is
A Data Operating System


The Internet Operating System is a Data Operating System
 It helps applications find out about
– People
– Places
– Things
– Prices
– Documents
– Images
– Sounds
– Relationships
– ...

 and helps people interact with them through services
– Search
– Payment
– Matching and Recognition
– ...


In Real Time


And that’s why
Business Intelligence as we knew it
is dead


We’re moving from a world in which analysts and
executives study data and make decisions to a
world in which analysts study data and rewrite
algorithms that make decisions.


“We don’t have better algorithms than anyone
else. We just have more data.”

--Peter Norvig, Chief Scientist, Google


Or do they?
 There’s a lot of data in the world


Why syndicated data - and a platform that
supports business rules for sharing - is essential


Interoperable web services, open data, and
standard protocols are at least as important as
open source


That’s Why Greenplum Chorus is important


 another simplegeo slide (or is that the right co?)


Switching tracks (a bit)...


Open Source and Scientific Data
“With the very pressing issue of climate change, releasing raw data is vital.
There can be no excuse not to. Releasing source code is optional, truly
great for open source review - but very dangerous if everyone just re-runs
the same code with the same baked-in implicit and explicit assumptions and
errors.

In discussion with our Chief Scientist, we have agreed it's much better to
publish the following:

  - the raw data and the circumstances of its collection
  - the method and assumptions used to process the data (in words and
  equations)
  - the results of the processing
  - the known limitations on the method and signiﬁcance of the assumptions

The computer code should be written from scratch as many times as possible
to reduce the chance that it affected the results in any way.”

--Gavin Starks, CEO, AMEE


For more information
 The Open Source Paradigm Shift (2003)
http://bit.ly/cKLSUP
 What is Web 2.0? (2005)
http://oreil.ly/a0zT65
 Web Squared: Web 2.0 Five Years On (2009)
http://bit.ly/kEKgs
 Government as a Platform (2010)
http://opengovernment.labs.oreilly.com/
 Ongoing commentary
http://radar.oreilly.com
http://twitter.com/timoreilly
http://buzz.google.com/timoreilly


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