bi and the cloud: what does it all mean?
DESCRIPTION
Slide deck I used to discuss some ideas about cloud computing, business intelligence, and big data at TDWI's Solution Summit on Cloud BI. Feel free to quote but please attribute to me (Pano Xinos, 2013) or the original sources if sources are provided. All proprietary information is their respective owners and/or publishers. This presentation is CopyrightTRANSCRIPT
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BI and The Cloud: What does it all mean?
Pano M. Xinos
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For the sake of clarity…
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Necessary evil
Private cloud Public cloud Hybrid cloud
IaaS PaaS SaaS
On-‐demand, self-‐service Broad network access Resource pooling Rapid elasLcity Measured service
hMp://csrc.nist.gov/publicaLons/nistpubs/800-‐145/SP800-‐145.pdf
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PredicLve AnalyLcs = Big Data Business Intelligence ≠ Big Data
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THREE IDEAS
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CHEAP, ACTIONABLE INFORMATION One
AS “BIG DATA” à MAINSTREAM BUSINESS INTELLIGENCE = BIG DATA
Two
GARBAGE IN, GARBAGE OUT (“IT’S NOT INFORMATION OVERLOAD; IT’S FILTER FAILURE.”)
Three
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CHEAP, ACTIONABLE INFORMATION One
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hMp://aws.amazon.com/ec2/pricing/ (Oct. 2013) hMp://www.google.com/trends/ (Oct. 2013)
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hMp://aws.amazon.com/ec2/pricing/ (Oct. 2013)
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$3B+ of revenue in 2013 can’t be wrong
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Big Data <3’s Cloud
Large Workloads + Cloud CompuLng
XOXOXOX
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CommodiLzed compute combined with predicLve analyLc tools yields
acLonable informaLon
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Cloud + PredicLve Data AnalyLcs
Cheap, AcLonable InformaLon
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hMp://www.wired.com/table_of_malcontents/2007/05/man-‐spends-‐266-‐hours-‐awake-‐for-‐world-‐record-‐now-‐feels-‐stupid/
“Man Spends 266 Hours Awake For World Record, Now Feels Stupid”
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AS “BIG DATA” à MAINSTREAM BIG DATA = BUSINESS INTELLIGENCE
Two
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hMp://www.infoincog.com/the-‐big-‐data-‐hype-‐cycle/
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It’s not all doom and gloom
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hMp://bytesiz
ebio.net/2013/04/13/terrible-‐advice-‐from
-‐a-‐great-‐scien
Lst/
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Future success is measured in terms of opportunity cost
Image: hMp://thecareerblog.wordpress.com/
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Companies that already have a BI pracLce will more easily
integrate predicLve analyLcs
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Open source is a low(er) cost soluLon that will help drive
adopLon
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As predicLve analyLcs is more widely adopted, it will merge with BI as a new pracLce
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hMp://www.woldfitness.com
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GARBAGE IN, GARBAGE OUT (“IT’S NOT INFORMATION OVERLOAD; IT’S FILTER FAILURE.”1)
Three
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“It’s not informaLon overload; it’s filter failure.”
-‐-‐Clay Shirky (2008)
1 hMp://www.youtube.com/watch?v=LabqeJEOQyI
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hMp://blog.poMerzot.com/2007/09/25/garbage-‐in-‐garbage-‐out-‐and-‐the-‐desire-‐to-‐cover-‐our-‐own-‐ass-‐is-‐ruining-‐the-‐world/
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Flickr, Copyright ShieldkiMen
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PoliLcs
hMp://www.threehundredeight.com/
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So, what does it all mean?
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CLOUD IS CHEAP. INFORMATION IS PRICELESS.
One
GET ON BOARD WHILE THE GETTING IS GOOD.
Two
EXPERIENCE AND INDUSTRY EXPERTISE SOLVES PROBLEMS.
Three