when big data and predictive analytics collide: visual magic happens
DESCRIPTION
Big data is useless data unless you have a way to handle and perform meaningful analysis that drives a business outcome. Data visualization has transformed complex data sets into patterns now being used to constructed predictive models. In the massive exploding world of social data and content engagement the need for intelligent data mining and pattern prediction is required to realize data driving marketing. In this presentation, we will explore techniques, key takeaways and examples behind this fast growing market of predictive analysis.TRANSCRIPT
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When Big Data and Predictive Analytics Collide:
Visual Magic Happens
Insights – Analysis – Content Engineering
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The Problem: Massive data explosion (mobile, social, wearable, cloud, m2m etc.) and brands are struggling to make use of this data.
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PREDICTIVE ANALYTICS
Predictive Analytics enables decision makers to predict future events and proactively act on that
insight to drive better business.
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PREDICTIVE ANALYTICS
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THEN, NOW & WHERE WE’RE GOING
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MOST COMMON PREDICTIVE MODELS
• Clustering – finding groups and predicting themes• Classification – most popular “Decision tree” • Association – multi assurance connected buckets• Link Analysis – relationships• Text Mining – unstructured data to meaning• Time Series – predicting a continuous value• Graph Structure – structure predicts behavior
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PREDICTIVE ANALYSIS USE CASES
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DATA FLOW MODEL
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PREDICTIVE SOFTWARE
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IN DATABASE PREDICTIVE ANALYTICS
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BIG DATA VISUALIZATION & ANALYTICS
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TABLEAU
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NEURAL CONNECTIONS ARE LIKE A SOCIAL GRAPH
A simulation of a macaque monkey's neural connections. It shows 4,000 centers of neuronal attachment, each represented as a dot along the ring, connected by more than 320,739 arcs.
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3.5 BILLION WEB PAGES AND 128 BILLION HYPERLINKS
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Pajek and (large) network analysis and visualization.http://webdatacommons.org/hyperlinkgraph/
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INTRODUCING FUSIONS TABLES
http://www.seerinteractive.com/blog/visualize-your-backlinks-with-google-fusion-tables
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WHERE WE’RE GOING – PATTERN PREDICTION
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WHERE TO GO
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KDD-Nuggets http://kdnuggets.comRapidMiner http://rapid-i.comR Statistical Computing http://www.r-project.orgRevolution Analytics http://www.revolutionanalytics.com Teradata http://www.teradata.comTableau http://tableausoftware.comSpotfire http://spotfire.tibco.comSAS http://www.sas.comIBM SPSS http://www.ib.com/software/analytics/spssMahout https://cwiki.apahce.org/confluence/display/MAHOUT/AlgorithsWeka Open Source Data mining http://www.cs.waikato.ac.nz/ml/weka Pajek and (large) network analysis and visualization.http://webdatacommons.org/hyperlinkgraph
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TABLEAU DEMO
• http://public.tableausoftware.com/views/PredictiveDataVisualizationwithSSASDataMining/Classification#1
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CONTENT MARKETING FLOW = DATA
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VISUAL CONTENT HUB
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We’re Here to Help You
@chasemcmichael [email protected]@infinigraph
http://smo.infinigraph.comhttp://www.infinigraph.com
YouTube /infinigraphSlideshare /infinigraph
Great Social Engagement Is About Knowing what drives engagement