The Future of Business Intelligence

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The Future of Business Intelligence Tim O’Reilly April 12, 2010 Monday, April 19, 2010
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Another version of my talk about the state of the Internet Operating System, but this one focused on how it will affect business intelligence. Given at Greenplum Days in Las Vegas, held in conjunction with the Gartner BI Summit.

Transcript of The Future of Business Intelligence

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The Future of Business Intelligence

Tim O’Reilly

April 12, 2010

Monday, April 19, 2010

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

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Business Intelligence

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

Web 2.0 Cloud Computing

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You may think of me as a book publisher

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What We Really Do At O'Reilly

Change the world by spreading the knowledge of innovators

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“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

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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.

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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

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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”)

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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

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The smart phone plus local search. Today pizza,

Round Table Pizza, 4300 Great America ParkwayGiovanni’s NY Pizzeria 1127 Lawrence ExpwyLittle Caesar’s Pizza, 4767 Lafayette Street

Little Caesar’s, 3900 Las Vegas Blvd SouthAnthony’s Coal Fired, 3569 Las Vegas Blvd SouthTrattoria del Lupo, 3950 Las Vegas Blvd South

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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

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An application that depends on cooperating cloud data services: - Speech recognition- Search- Location data

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

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In real time

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The Yelp Monocle

Find cafes nearby.

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Crowdsourcing includes the use of humans as sensors

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AMEE - the world’s energy meter

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

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GoodData here

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

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An application that depends on cooperating cloud data services: - Location- Search- Speech recognition- Live Traffic- Imagery

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Business Intelligence

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

Web 2.0 Cloud Computing

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The Internet Operating System is A Data Operating System

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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– ...

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In Real Time

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And that’s why Business Intelligence as we knew it

is dead

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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.

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

--Peter Norvig, Chief Scientist, Google

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Or do they?

There’s a lot of data in the world

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

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

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That’s Why Greenplum Chorus is important

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

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Switching tracks (a bit)...

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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, trulygreat for open source review - but very dangerous if everyone just re-runsthe same code with the same baked-in implicit and explicit assumptions anderrors.

In discussion with our Chief Scientist, we have agreed it's much better topublish 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 possibleto reduce the chance that it affected the results in any way.”

--Gavin Starks, CEO, AMEE

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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 commentaryhttp://radar.oreilly.comhttp://twitter.com/timoreillyhttp://buzz.google.com/timoreilly

Monday, April 19, 2010