7 ideas on encouraging advanced analytics
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7 Ideas on Encouraging Advanced Analytics Mark Tabladillo Ph.D.
Microsoft MVP, SAS Expert; Trainer & Consultant, SolidQ
July 17, 2014
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AbstractMany companies are starting or expanding their use of data mining and machine learning. This presentation covers seven practical ideas for encouraging advanced analytics in your organization.
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MarkTab
Microsoft MVPSAS Expert
Trainer & ConsultantData Scientist
Associate Faculty – University of Phoenix (School of Advanced Studies)
@marktabnetLinked In
http://marktab.net
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PremiseAdvanced Analytics promises to handle the common challenges facing organizations
How do we respond to: Volume, Velocity, Variety
How do we achieve rapid analytics
How do we develop technology
How do we obtain more skilled analysts and data scientists
How do we tell stories
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Scientific MethodBaseline = Null Hypothesis
Alternative = Alternative Hypothesis
Questions:
Is there evidence to reject the null hypothesis?
How do you know that?
So what?
Epistemology: Science relies on presuppositions
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Seven AreasAdvanced Analytics promises to handle the common challenges facing organizations
1-3 How do we respond to: Volume, Velocity, Variety
4 How do we achieve rapid analytics
5 How do we develop technology
6 How do we obtain more skilled analysts and data scientists
7 How do we tell stories
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VolumeBaseline: Ignore it
Alternative:
Technology (flat files, tape, CSV Hadoop)
Sampling
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VelocityBaseline: Ignore it
Alternative
Streaming (StreamInsight)
Sampling
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VarietyBaseline: Ignore it
Alternative:
Different database typesSQL
NoSQL: Excel, Power Pivot, OLAP, Graph, HDInsight, Hadoop
Sampling
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Achieving Rapid AnalyticsBaseline: IT (Information Technology) produces, business units consume
Alternative:
Business Units share production and consumption with Information Technology
Approach: Learn the business, work on better data
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Developing TechnologyBaseline: Let the vendors do it
Alternative
Build it
Virtual Machines: Cloud, On Premise, Hybrid
Development Environments D = Development
R&D = Research and Development
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Obtaining TalentBaseline: Ignore the issue
Alternatives
Buy
Rent
Create
Lead
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StoriesBaseline 1: internal focus because we’re just like everyone else
Baseline 2: the whole world is unique with no unifying patterns
Alternative
Technology conferences
Industry conferences
Benchmarking
Eric Siegel: Predictive Analytics
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One Book to ReadThomas Kuhn: The Structure of Scientific Revolutions
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Tommy Lasorda, Manager LA DodgersYou can make it happen
You can let it happen
Or you can wonder, what happened?