Business Intelligence, Analytics, and Data Science: A Managerial Perspective Fourth Edition BUSINESS INTELLIGENCE ANALYTICS Chapter 4 AND DATA SCIENCE Predictive Analytics I: Data A Managerial Mining Process, Methods and algorithms Ramesh Sharda Dursun Delen Efraim Turban PEarson Pearson Copyright 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved
Business Intelligence, Analytics, and Data Science: A Managerial Perspective Fourth Edition Chapter 4 Predictive Analytics I: Data Mining Process, Methods, and Algorithms Copyright © 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved
Learning Objectives (1 of2 4.1 Define data mining as an enabling technology for business analytics 4. 2 Understand the objectives and benefits of data mining 4. 3 Become familiar with the wide range of applications of data mining 4.4 Learn the standardized data mining processes 4. 5 Learn different methods and algorithms of data mining Pearson Copyright C 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved
Copyright © 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved Learning Objectives (1 of 2) 4.1 Define data mining as an enabling technology for business analytics 4.2 Understand the objectives and benefits of data mining 4.3 Become familiar with the wide range of applications of data mining 4.4 Learn the standardized data mining processes 4.5 Learn different methods and algorithms of data mining
Learning Objectives (2 of 2) 4.6 Build awareness of the existing data mining software tools 4.7 Understand the privacy issues, pitfalls, and myths of data mining Pearson Copyright C 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved
Copyright © 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved Learning Objectives (2 of 2) 4.6 Build awareness of the existing data mining software tools 4.7 Understand the privacy issues, pitfalls, and myths of data mining
Opening vignette (I of3 Miami-Dade Police Department Is Using Predictive Analytics to Foresee and Fight Crime Predictive analytics in law enforcement Policing with less New thinking on cold cases The big picture starts smal Success brings credibility Just for the facts Safer streets for smarter cities Pearson Copyright C 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved
Copyright © 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved Opening Vignette (1 of 3) Miami-Dade Police Department Is Using Predictive Analytics to Foresee and Fight Crime • Predictive analytics in law enforcement – Policing with less – New thinking on cold cases – The big picture starts small – Success brings credibility – Just for the facts – Safer streets for smarter cities
Opening Vignette (2 of3 Discussion Questions 1. Why do law enforcement agencies and departments like Miami-Dade Police Department embrace advanced analytics and data mining? 2. What are the top challenges for law enforcement agencies and departments like Miami-Dade Police Department? Can you think of other challenges(not mentioned in this case) that can benefit from data mining? Pearson Copyright C 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved
Copyright © 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved Opening Vignette (2 of 3) Discussion Questions 1. Why do law enforcement agencies and departments like Miami-Dade Police Department embrace advanced analytics and data mining? 2. What are the top challenges for law enforcement agencies and departments like Miami-Dade Police Department? Can you think of other challenges (not mentioned in this case) that can benefit from data mining?