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The information herein is for informational purposes only and represents the opinions and views of Project Botticelli and/or Rafal Lukawiecki. The material presented is not certain and may vary based on several factors. Microsoft makes no warranties, express, implied or statutory, as to the information in this presentation. Portions © 2014 Project Botticelli Ltd & entire material © 2014 Microsoft Corp unless noted otherwise. Some slides contain quotations from copyrighted materials by other authors, as individually attributed or as already covered by Microsoft Copyright ownerships. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Project Botticelli Ltd as of the date of this presentation. Because Project Botticelli & Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft and Project Botticelli cannot guarantee the accuracy of any information provided after the date of this presentation. Project Botticelli makes no warranties, express, implied or statutory, as to the information in this presentation. E&OE. Register on projectbotticelli.com projectbotticelli.com/ppt Data Mining Introduction to BI & Big Data DAX MDX Excel BI Seek profitable customers Understand customer needs Correct data Predictive analytics Detect and prevent fraud Build effective marketing campaigns Anticipate customer churn Predict sales & inventory Attributes Aggregates Flags Relationships single 1. 2. 3. Training data Mining Model Data for predictions DM DM Engine Engine Mining Model Mining Model With predictions SSDT Excel Visio SSMS Excel/Visio/SSRS/SSIS/Your App OLE DB/ADOMD/XMLA App Data Deploy Analysis Services Server Mining Model Data Mining Algorithm Data Source Algorithm Description Decision Trees Finds the odds of an outcome based on values in a training set, presents visually Association Rules Identifies relationships between cases Clustering Classifies cases into distinctive groups based on any attribute sets Naïve Bayes Clearly shows the differences in a particular variable for various data elements Sequence Clustering Groups or clusters data based on a sequence of previous events Time Series Analyzes and forecasts time-based data combining the power of ARTXP (developed by Microsoft Research) for short-term predictions with ARIMA for long-term accuracy. Neural Nets Seeks to uncover non-intuitive relationships in data Linear Regression Determines the relationship between columns in order to predict an outcome Logistic Regression Determines the relationship between columns in order to evaluate the probability that a column will contain a specific state projectbotticelli.com 1 month free: COMP1M2014VEGAS $50 off: 50OFF2014VEGAS 15% off: 15OFF2014VEGAS Limited to 250. Redeem by March 7. Follow: @rafaldotnet Email: [email protected] Discover: rafal.net Sponsored by projectbotticelli.com 1 month free: COMP1M2014VEGAS $50 off: 50OFF2014VEGAS 15% off: 15OFF2014VEGAS Limited to 250. Redeem by March 7. Follow: @rafaldotnet Email: [email protected] Discover: rafal.net The information herein is for informational purposes only and represents the opinions and views of Project Botticelli and/or Rafal Lukawiecki. The material presented is not certain and may vary based on several factors. Microsoft makes no warranties, express, implied or statutory, as to the information in this presentation. Portions © 2014 Project Botticelli Ltd & entire material © 2014 Microsoft Corp unless noted otherwise. Some slides contain quotations from copyrighted materials by other authors, as individually attributed or as already covered by Microsoft Copyright ownerships. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Project Botticelli Ltd as of the date of this presentation. Because Project Botticelli & Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft and Project Botticelli cannot guarantee the accuracy of any information provided after the date of this presentation. Project Botticelli makes no warranties, express, implied or statutory, as to the information in this presentation. E&OE.
