7 Ideas on Encouraging Advanced Analytics Mark Tabladillo Ph.D.

Microsoft MVP, SAS Expert; Trainer & Consultant, SolidQ

July 17, 2014

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.

MarkTab

Microsoft MVPSAS Expert

Trainer & ConsultantData Scientist

Associate Faculty – University of Phoenix (School of Advanced Studies)

@marktabnetLinked In

http://marktab.net

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

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

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

VolumeBaseline: Ignore it

Alternative:

Technology (flat files, tape, CSV Hadoop)

Sampling

VelocityBaseline: Ignore it

Alternative

Streaming (StreamInsight)

Sampling

VarietyBaseline: Ignore it

Alternative:

Different database typesSQL

NoSQL: Excel, Power Pivot, OLAP, Graph, HDInsight, Hadoop

Sampling

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

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

Obtaining TalentBaseline: Ignore the issue

Alternatives

Buy

Rent

Create

Lead

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

One Book to ReadThomas Kuhn: The Structure of Scientific Revolutions

Tommy Lasorda, Manager LA DodgersYou can make it happen

You can let it happen

Or you can wonder, what happened?