Big Data What does it mean ? How do we mine it?

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Big Data What does it mean ? How do we mine it?. John Johansen October 2013 jjohansen@agiletech.com. Session Objective. Who saw that coming! Our organizations data is increasingly capable of helping us anticipate and plan for the unexpected. - PowerPoint PPT Presentation

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PowerPoint Presentation

Big DataWhat does it mean? How do we mine it?

John JohansenOctober 2013jjohansen@agiletech.com Session ObjectiveWho sawthatcoming!

Our organizations data is increasingly capable of helping us anticipate and plan for the unexpected. Powerfultools are emerging to helpidentify patterns and make predictions of potentialrisks and opportunities.Thesepredictive analyticswill allowcompaniesto focuson the real trouble spots and develop the right conclusions.

This session will explore and demonstrate these tools while identifying potential applicationsand solutionsin our day-to-day jobs.

At the conclusion of the session participants will understandThe role that analytics can play in supporting your organizational objectives.How these tools can identify elevated risk and help plan effective strategies to maximize opportunities.

Who saw that coming?You did!2AgendaBig Data Explained

Why Are These Solutions Emerging Now ?

Some Common and Not-so Common Applications in our Businesses

The Steps in the Mining Process

A Real Live Demo of a Mining Process

Questions

Wrap - Up

3But first a promise

4But first a promise

5But first a promise

6No plunge !Big Data Explained7RF TaggingHealthcare MonitoringUnstructured DataSensor DataReal Time Data> Peta? ZettaVoice of the CustomerText Analysis7Four Emitters Connected to the Internet of ThingsCows & Crops

8

Transactions, Interactions & Observations9

Big Data in the Gartner Hype Cycle10

There are less scientific hype indicators11

Why Now?Chances are, the tools you need are the tools you have.*

At long last, the data that you need is the data that you have.

The processing power that you need is the processing power that you have.*

12* And if you dont already have them, they are readily available with very reasonable ROI

Four Emitters Connected to the Internet of ThingsCows & Crops

Christmas Trees

13Data is Increasingly a Differentiator14Production ReportingInteractive DashboardsData DiscoveryPredictive AnalyticsOperational Analytics DifferentiationSophisticationHighLowLowHighPredictive Analytics15Potential Challenges16Prediction is very difficult

Niels Bohr

Casey Stengel

President Bill ClintonEspecially if its about the future.Predictive Analytic SolutionsWe see these solutions as a class of software tools that will look through large sets of data to uncover subtle patterns in data, then use those patterns to predict the behavior of a new set of data.

The impact these solutions are having at companies are generally in the areas of:Improving the profitability of existing clients by identifying high probability cross-selling activities.Improving the effectiveness of direct marketing programs through more focused, higher likelihood of success programs.Identifying fraud.Identifying likely candidates for churn either in the customer-base or in the channel.Modeling customer reactions to price or term changes.17Organizations Embrace Analytics Differently

Killer Applications

What are the steps?As with any other solutions, we suggest starting at the end: Outlining specifically what we are hoping to achieve.

Next we need to establish at least two sets of data from our existing historical data. One will help us Train the model, the other will be a Test set that will allow us to validate that in fact the model that we create is valid.

Once were sure weve got a model that establishes the right relationships, we can run our source data through our model and get our predictions.

Analyze, Rinse. Repeat.20Four Emitters Connected to the Internet of ThingsCows & Crops

Christmas Trees

Pill Bottles

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21Demonstrating the PowerWeve arranged for a quick demo of the Microsoft tools.

Churn Prediction

Claim Amount

Cross Selling

Its interesting to note, that this demonstration is running on a simple server, using software tools that are included, free, with Microsoft SQLServer. 22Demonstration Predicting Churn23Demonstration Claim Cost24Demonstration Cross Selling25

Four Emitters Connected to the Internet of ThingsCows & Crops

Christmas Trees

Pill Bottles

Diapers

2626Questions?27

In conclusionBig Data Explained

Why Are These Solutions Emerging Now ?

Some Common and Not-so Common Applications in our Businesses

The Steps in the Mining Process

A Real Live Demo of a Mining Process

Questions28In conclusion29I figure lots of predictions is best. People will forget the ones I get wrong and marvel over the rest.

Alan CoxContactJohn JohansenPartnerAgile Technologies, LLCOne Easton Oval, Suite 388Columbus, Ohio 43219

jjohansen@agiletech.com

www.agiletech.com

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