[Presentation] When Big Data and Predictive Analytics Collide: Visual Magic Happens

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1. Insights – Analysis – Content Engineering 1 When Big Data and Predictive Analytics Collide: Visual Magic Happens
2. The Problem: Massive data explosion (mobile, social, wearable, cloud, m2m etc.) and brands are struggling to make use of this data. 2
4. PREDICTIVE ANALYTICS 4 Predictive Analytics enables decision makers to predict future events and proactively act on that insight to drive better business.
5. PREDICTIVE ANALYTICS 5
6. THEN, NOW & WHERE WE’RE GOING 6
8. 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 8
9. PREDICTIVE ANALYSIS USE CASES 9
12. IN DATABASE PREDICTIVE ANALYTICS 12
13. BIG DATA VISUALIZATION & ANALYTICS 13
15. 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 15than 320,739 arcs.
16. 3.5 BILLION WEB PAGES AND 128 BILLION HYPERLINKS • Pajek and (large) network analysis and visualization. 16 http://webdatacommons.org/hyperlinkgraph/
17. INTRODUCING FUSIONS TABLES http://www.seerinteractive.com/blog/visualize-your-backlinks-with-google-fusion-tables 17
18. WHERE WE’RE GOING – PATTERN PREDICTION 18
20. KDD-Nuggets http://kdnuggets.com RapidMiner http://rapid-i.com R Statistical Computing http://www.r-project.org Revolution Analytics http://www.revolutionanalytics.com Teradata http://www.teradata.com Tableau http://tableausoftware.com Spotfire http://spotfire.tibco.com SAS http://www.sas.com IBM SPSS http://www.ib.com/software/analytics/spss Mahout https://cwiki.apahce.org/confluence/display/MAHOUT/Algor iths Weka Open Source Data mining http://www.cs.waikato.ac.nz/ml/weka Pajek and (large) network analysis and visualization. 20
21. TABLEAU DEMO • http://public.tableausoftware.com/views/Pr edictiveDataVisualizationwithSSASDataMini ng/Classification#1 21
23. CONTENT MARKETING FLOW = DATA 23
24. VISUAL CONTENT HUB 24 http://blog.infinigraph.com/example-of-visual-content-trends-powered-by-hypercuration/
27. We’re Here to Help You Great Social Engagement Is About Knowing what drives engagement 27 @chasemcmichael sales@infinigraph.com @infinigraph http://smo.infinigraph.com http://www.infinigraph.com YouTube /infinigraph Slideshare /infinigraph