The Future of Business Intelligence
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The Future of Business Intelligence

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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 ...

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.

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The Future of Business Intelligence The Future of Business Intelligence Presentation Transcript

  • 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” Monday, April 19, 2010
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  • Business Intelligence Web 2.0 Cloud Computing “You keep using that word. I do not think it means what you think it means.” Monday, April 19, 2010
  • You may think of me as a book publisher Monday, April 19, 2010
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  • What We Really Do At O'Reilly Change the world by spreading the knowledge of innovators Monday, April 19, 2010
  • “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 Monday, April 19, 2010
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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. Monday, April 19, 2010
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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 Monday, April 19, 2010
  • 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”) Monday, April 19, 2010
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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 Monday, April 19, 2010
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  • 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 Monday, April 19, 2010
  • 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 Monday, April 19, 2010
  • An application that depends on cooperating cloud data services: - Speech recognition - Search - Location data Monday, April 19, 2010
  • An application that applies context-sensitive filters to give users just the information they need. Monday, April 19, 2010
  • In real time Monday, April 19, 2010
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  • The Yelp Monocle  Find cafes nearby. Monday, April 19, 2010
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  • Crowdsourcing includes the use of humans as sensors Monday, April 19, 2010
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  • AMEE - the world’s energy meter Monday, April 19, 2010
  • We’re moving to a world in which every device generates useful data, in which every action creates “information shadows” on the net. Monday, April 19, 2010
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  •  GoodData here Monday, April 19, 2010
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  • •Search in plain English •Search by voice •Traffic view •Search along route •Satellite view •Street view Monday, April 19, 2010
  • An application that depends on cooperating cloud data services: - Location - Search - Speech recognition - Live Traffic - Imagery Monday, April 19, 2010
  • Business Intelligence Web 2.0 Cloud Computing “You keep using that word. I do not think it means what you think it means.” Monday, April 19, 2010
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  • The Internet Operating System is A Data Operating System Monday, April 19, 2010
  • 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 – ... Monday, April 19, 2010
  • In Real Time Monday, April 19, 2010
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  • And that’s why Business Intelligence as we knew it is dead Monday, April 19, 2010
  • 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. Monday, April 19, 2010
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  • “We don’t have better algorithms than anyone else. We just have more data.” --Peter Norvig, Chief Scientist, Google Monday, April 19, 2010
  • Or do they?  There’s a lot of data in the world Monday, April 19, 2010
  • Why syndicated data - and a platform that supports business rules for sharing - is essential Monday, April 19, 2010
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  • Interoperable web services, open data, and standard protocols are at least as important as open source Monday, April 19, 2010
  • That’s Why Greenplum Chorus is important Monday, April 19, 2010
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  •  another simplegeo slide (or is that the right co?) Monday, April 19, 2010
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  • Switching tracks (a bit)... Monday, April 19, 2010
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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, 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 Monday, April 19, 2010
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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 commentary http://radar.oreilly.com http://twitter.com/timoreilly http://buzz.google.com/timoreilly Monday, April 19, 2010