MGMT E-6750 Marketing Analytics: a Source of Informational Advantage
|
|
- Bridget Hood
- 8 years ago
- Views:
Transcription
1 Page 1 of 5 Course Summary: MGMT E-6750 Marketing Analytics: a Source of Informational Advantage Harvard Extension School Spring 2013 Wednesday 7:40 pm 9:40 pm; 53 Church Street, Rm. 203 Instructor: Andrew Banasiewicz, Ph.D. abanasiewicz@fas.harvard.edu or abanas@bu.edu Phone: The emergence and rapid proliferation of electronic transaction processing systems, coupled with the rise of Internet-enabled communication infrastructure resulted in digital torrents that outstretch many organizations data processing abilities. At the same time, convergence of ever-increasing competitive pressures, brisk pace of technological innovation and rapidly changing consumer preferences lead to the heightening of the need for more and better decision-guiding insights. Not surprisingly, data analytic proficiency is quickly becoming one of the key determinants of organizations competitiveness. Nowhere is the opportunity to leverage data more pronounced than in marketing, where robust analytics can be the difference-maker in new customer acquisition, current customer retention and customer base value maximization efforts. Yet, although virtually all mid-size and larger organizations have access to essentially the same types of data, there are considerable cross-firm differences in data analytical proficiency why is that the case? Primarily because teaching of marketing database analytics has not kept pace with the rapidly emerging and evolving practice of marketing analytics. It is the stated goal of this course to offer an introductory overview of database analytics more specifically, to explain, in easy-to-follow terms, the process of translating large volumes of diverse data into competitivelyadvantageous, decision-guiding knowledge. Course Timeline Jan. 30: Introduction and Setting the Stage The Knowledge Bottleneck: Overabundance of Data and Scarcity of Insights. Data are vast, both volume- and type-wise: Is everything that is knowable worth knowing? Storage is cheap: In1970s, it cost about $1 million per terabyte it is $50 per terabyte today; Growth is explosive: Projected 60%+ compound year-over-year growth in data volume But: Data sources are often incommensurate: Captured via dissimilar means and structured differently; About 95% of all is non-numeric: Deriving insights out of unstructured, textual data is full of difficulties
2 Page 2 of 5 Hence: The majority of business organizations are still just purveyors of information: The data-information-knowledge continuum; Though boasting high potential value, the realized value of data is often quite low: Generic information vs. competitively advantageous insights. Jan. 30 Readings: Data Explosion From Information to Audiences Big Data: Powering the Next Industrial Revolution Feb. 6 and Feb. 13: Generalizable data types and sources. Structured vs. unstructured data: Historically, marketers focused on structured data, but 95% of marketing-usable data is unstructured the opportunity is knocking The old Big Data: The product of electronic transaction processing. The new Big Data: Open-ended online communications. Is data an asset? Feb. 6 and Feb. 13 Readings: Intelligence for Everyone McKinsey Big Data Report Feb. 20: Knowledge creation, competitive advantage and multisource analytics. What is knowledge and how is knowledge created? Data as a source of knowledge and knowledge as a source of competitive advantage. Data-derived, competitively-advantageous, decision-guiding insights. Multi-source data analytics: A must of transforming data into informational advantage. Feb. 20 Readings: BA and the Path to Better Decisions Marketing Database Analytics: Excerpt 1 Feb. 27: Data mining vs. predictive analytics. Data exploration vs. hypothesis testing as a source of decision-guiding insights. Data mining: Exploring the available data for worthwhile insights. Text mining as a subset of data mining. Predictive analytics: Using yesterday s facts to estimate the future. Feb. 27 Readings: The Power of Predictive Analytics Business Analytics and the Path to Better Decisions Marketing Database Analytics: Excerpt 2
3 Page 3 of 5 March 6: Purpose-driven data exploration - the Marketing Database Analytics (MDA) process. The repeatability of marketing decisions: New customer acquisition, current customer retention and customer base optimization. Ad hoc insights vs. ongoing informational flows. The Marketing Database Analytics process : Approach and philosophy. Analytic roadmap: Business goals, informational needs, data and methods. March 6 Readings: Marketing Database Analytics: Excerpt 3 March13: The Marketing Database Analytics process - Understanding the data. The data exploratory process. Data basics: Data sources, data types and databases Numeric vs. text data Metadata. March 13 Readings: Marketing Database Analytics Excerpt 4 March 27: The MDA process: Describing the structure of the customer base. Defining value-based customer segments to guide customer retention efforts. Segmentation types and choosing the right one (or ones) Analytical selection process. March 27 Readings: Marketing Database Analytics Excerpt 5 April 3: The MDA process: Loyalty analytics. Customer loyalty vs. product/service repurchase. Operationalizing loyalty. Enhancing the accuracy of buyer loyalty classification. April 3 Readings: Marketing Database Analytics Excerpt 6 April 10: The MDA process: New customer acquisition. Predictive analytics as the tool of choice. New customer acquisition: Finding high value, retainable customers. Pitfalls of self-selection driven customer acquisition: The retention-acquisition link. April 10 Readings: Marketing Database Analytics Excerpt 6
4 Page 4 of 5 April 17: The MDA process: Promotional mix optimization. The growing commercial clutter: Everyone s talking is anyone listening? Big Data and general advertising measurement: The new frontier of marketing science. Maximizing the overall benefits by integrating individual elements. April 17 Readings: Marketing Database Analytics Excerpt 7 April 24: The MDA process: Measuring the impact of promotions. A tale of two campaigns and the problem of impact measurement. Response rates and effectiveness: Often confused rarely aligned. Treatment-attributable incrementality. April 24 Readings: Marketing Database Analytics Excerpt 8 May 1: From analytic findings to better decisions: Results as the beginning not the end. Model is built now what? The science of analysis and the art of communication. Analytic insights and decisioning: Dashboards and scorecards. Aligning analytic results with stakeholder needs and preferences. May 1 Readings: Marketing Database Analytics Excerpt 9 May 8: Analytics as an ongoing process not an isolated event; course wrap-up. Rescoring, refreshing and restaging: Keeping the system and results current. In God we trust all others bring data. Overcoming resistance and creating a habit of data reliance. May 8 Readings: Marketing Database Analytics Excerpt 10 Course Policies and Requirements Class Policies Assignment Completion & Late Work Assignments must be turned in by the dates specified in this syllabus; late submissions will be penalized at the rate of 5 point reduction (on the standard 100 point scale) per day, computed based on the previous day s maximum number of points for example, if an assignment can earn a maximum of 100 points, being 1 day late will reduce the maximum number of points to 95, being 2 days late will reduce the maximum number of points to 90, etc. If you have a question
5 Page 5 of 5 or a concern regarding your assignment, please see me before or after class or contact me via . Academic Conduct Code Cheating and plagiarism will not be tolerated in any Metropolitan College course. They will result in no credit for the assignment or examination and may lead to disciplinary actions. Please take the time to review the Student Academic Conduct Code: Grading Criteria All assignments, including the mid-term exam, will be graded on a standard 100-point scale; final grades will be given on the basis of the guidelines provided by the school. Class Requirements The overall class performance will be determined as a weighted average of the following: Class participation 10% Case analysis (due March 6) 10% Data exploration exercise (due March 27) 10% Customer segmentation exercise (due April 3) 15% Predictive analytics exercise (due April 17) 20% Final project (due May 13) 35% Additional details describing individual assignments will be provided in a separate document. Readings, Data and Software Readings The readings referenced in the Course Timeline section will be made available prior to the start of the class. Data Sample data (for use during class instruction and outside-of-class work) will be provided by the Instructor however, if you would rather use your own data, you are welcome to do so. Software The hands-on part of the course (i.e., conducting data analyses) will utilize the IBM SPSS data analytical software. If you are interested in being able to gain access to the aforementioned application outside of the University, you can rent it from IBM at a cost of $49 (plus $4.99 download fee) for a period of 6 months here is the link to an authorized distributor: bb6c a6b08&vsro=8&o=2c77a b-e111-8d82-f04da23e67f6
BA in Management Program Summer Semester, 2015 MKTG 410 Social Media and Search Marketing Analytics
BA in Management Program Summer Semester, 2015 MKTG 410 Social Media and Search Marketing Analytics Instructor: Prabirendra Chatterjee Office: SOM 1069 Phone: (216) 483-9649 Fax: (216) 483-9699 E-mail:
More informationWe help companies learn from their customers and turn it into growth and success for their business.
2 Nothing is more important to your business than customers. After all, without them, your business would not exist. In any business the customer sees things that you don t. And their perspective is the
More informationGet the Real Pulse on your Customers Thinking with Predictive Analytics
Catherine Frye Business Analytics Solutions Manager, IBM Joseph Mahoney Client Technical Professional, Business Analytics, IBM Get the Real Pulse on your Customers Thinking with Predictive Analytics Today
More informationUNIVERSITY OF MASSACHUSETTS BOSTON COLLEGE OF MANAGEMENT AF 325 - Theory of Finance SYLLABUS Spring 2013
UNIVERSITY OF MASSACHUSETTS BOSTON COLLEGE OF MANAGEMENT AF 325 - Theory of Finance SYLLABUS Spring 2013 Meeting time: Section 01 (1380) Mondays and Wednesdays, 4.00pm 5.15pm Room: McCormack 02-0404 Instructor:
More informationThe University of North Carolina at Greensboro CRS 605: Research Methodology in Consumer, Apparel, and Retail Studies (3 Credits) Spring 2014
The University of North Carolina at Greensboro CRS 605: Research Methodology in Consumer, Apparel, and Retail Studies (3 Credits) Spring 2014 Instructor: Dr. Kittichai (Tu) Watchravesringkan (I go by Dr.
More information5 Steps to Creating a Successful Optimization Strategy
5 Steps to Creating a Successful Optimization Strategy Many companies are now recognizing that in a world of mobile devices and increasingly sophisticated online services, the creation of an excellent
More informationHow To Gain Competitive Advantage With Big Data Analytics And Visualization
MKTG3000 Special Topics: Competitive Advantage with Big Data Marketing Analytics & Marketplace Visualization Strategy Fall 2015 Dr. Jared Hansen Associate Professor of Marketing MKTG3000-001: Special Topics:
More informationCOURSE SYLLABUS. Return on Marketing Investment
COURSE SYLLABUS Return on Marketing Investment Instructor: Alexander V. Krasnikov, PhD Assistant Professor of Marketing, School of Business, George Washington University Email: avkrasn@gwu.edu Course objectives
More informationWhite Paper. Real-time Customer Engagement and Big Data are Changing Marketing
Real-time Customer Engagement and Big Data are Changing Marketing Real-time Customer Engagement and Big Data are Changing Marketing Marketing is rapidly approaching to what marketers have often dreamed
More informationA Visualization is Worth a Thousand Tables: How IBM Business Analytics Lets Users See Big Data
White Paper A Visualization is Worth a Thousand Tables: How IBM Business Analytics Lets Users See Big Data Contents Executive Summary....2 Introduction....3 Too much data, not enough information....3 Only
More information!!!!! White Paper. Understanding The Role of Data Governance To Support A Self-Service Environment. Sponsored by
White Paper Understanding The Role of Data Governance To Support A Self-Service Environment Sponsored by Sponsored by MicroStrategy Incorporated Founded in 1989, MicroStrategy (Nasdaq: MSTR) is a leading
More informationUnderstanding the Transformative Power of Big Data & Predictive Analytics
Understanding the Transformative Power of Big Data & Predictive Analytics Dallas Fort Worth Area IMA Meeting September 18, 2014 Today s topics Demystify the buzz of big data and analytics Discuss the relevance
More informationMgt 2020Y - Marketing Fall 2013 Wednesday: 6:00 8:50pm, S4037. Wednesdays 9:00-10:00pm or by appointment.
Mgt 2020Y - Marketing Fall 2013 Wednesday: 6:00 8:50pm, S4037 INSTRUCTOR OFFICE HOURS Don Haidey don.haidey@uleth.ca Phone : 403.440.7013 Wednesdays 9:00-10:00pm or by appointment. COURSE MATERIALS Required
More informationOutline. BI and Enterprise-wide decisions BI in different Business Areas BI Strategy, Architecture, and Perspectives
1. Introduction Outline BI and Enterprise-wide decisions BI in different Business Areas BI Strategy, Architecture, and Perspectives 2 Case study: Netflix and House of Cards Source: Andrew Stephen 3 Case
More informationWhite. Paper. Big Data Advisory Service. September, 2011
White Paper Big Data Advisory Service By Julie Lockner& Tom Kornegay September, 2011 This ESG White Paper was commissioned by EMC Corporation and is distributed under license from ESG. 2011, Enterprise
More informationSocial Media Specialized Studies
Business and Management Social Media Specialized Studies Accelerate Your Career extension.uci.edu/sm University of California, Irvine Extension s professional certificate and specialized studies programs
More informationData Isn't Everything
June 17, 2015 Innovate Forward Data Isn't Everything The Challenges of Big Data, Advanced Analytics, and Advance Computation Devices for Transportation Agencies. Using Data to Support Mission, Administration,
More informationINDUSTRIAL-ORGANIZATIONAL PSYCHOLOGY
INDUSTRIAL-ORGANIZATIONAL PSYCHOLOGY Psychology 375 Pre-session Summer 2011 Location: McClelland, Rm 122 M-F 1-3:50PM Instructor: Beatriz Alvarado, M.A. Office: Psychology, Rm.??? e-mail: alvarado@email.arizona.edu
More informationIntroducing the Workshops, Services and Insights for Alterian s Social Media Monitoring Solutions.
Introducing the Workshops, Services and Insights for Alterian s Social Media Monitoring Solutions. Workshops, Services and Insights for Alterian SM2 Alterian SM2 is a social media monitoring and analytics
More informationHow To Transform Customer Service With Business Analytics
IBM Software Business Analytics Customer Service Transforming customer service with business analytics 2 Transforming customer service with business analytics Contents 2 Overview 2 Customer service is
More informationPostgraduate Diploma in Social Media Studies. Awarded by University of California Irvine Extension
Postgraduate Diploma in Social Media Studies Awarded by University of California Irvine Extension 2 Accelerate your Career Improve Your Career Options with a Professional Postgraduate Diploma University
More informationLEVERAGING DATA ANALYTICS TO ACQUIRE AND RETAIN LIFE INSURANCE CUSTOMERS
Tactful Management Research Journal ISSN: 2319-7943 Impact Factor : 2.1632(UIF) LEVERAGING DATA ANALYTICS TO ACQUIRE AND RETAIN LIFE INSURANCE CUSTOMERS Ms. Archana V. Rao Assistant Professor, Model College
More informationRESEARCH NOTE INCREASING PROFITABILITY WITH ANALYTICS IN MIDSIZE COMPANIES
RESEARCH NOTE INCREASING PROFITABILITY WITH ANALYTICS IN MIDSIZE COMPANIES THE BOTTOM LINE Adoption of analytics such as business intelligence (BI), performance management (PM), and predictive analytics
More informationANGELO STATE UNIVERSITY Department of Accounting, Finance and Economics. Financial Management. Spring 2015 Syllabus
ANGELO STATE UNIVERSITY Department of Accounting, Finance and Economics FIN 3361-Financial Management Syllabus This Syllabus is provided for informational purposes regarding the anticipated course content
More informationYOUR BIG DATA AUDIENCE INSIGHT
YOUR BIG DATA AUDIENCE INSIGHT Sam Zindel _ DATA MODELLING ANALYST TODAY S AGENDA BIG DATA IN THE DIGITAL WORLD BUILDING THE BRAND/CUSTOMER RELATIONSHIP SIGN-POSTING THE CUSTOMER JOURNEY AUDIENCE INSIGHT
More informationNorthrop Grumman White Paper
Northrop Grumman White Paper Business Analytics for Better Government Authors: Patrick Elder and Thomas Naphor April 18, 2012 Northrop Grumman Corporation Information Systems Sector 7575 Colshire Drive
More informationTable of Contents. Introduction 3. Why You Need a Customer Relationship Management (CRM) System 4. The Sales and Marketing Funnel 8
Table of Contents Introduction 3 Why You Need a Customer Relationship Management (CRM) System 4 Key benefits of CRM systems 4ting Sales Processes via Email 6 Why email? 6 Sales email cycles 7 The Sales
More informationThe big data revolution
The big data revolution Expert report in partnership with Big data, big challenges Big data is changing the world a hundred terabytes at a time. It allows marketers to make highly informed and effective
More informationDemystifying Big Data Government Agencies & The Big Data Phenomenon
Demystifying Big Data Government Agencies & The Big Data Phenomenon Today s Discussion If you only remember four things 1 Intensifying business challenges coupled with an explosion in data have pushed
More informationData Science and Business Analytics Certificate Data Science and Business Intelligence Certificate
Data Science and Business Analytics Certificate Data Science and Business Intelligence Certificate Description The Helzberg School of Management has launched two graduate-level certificates: one in Data
More informationCollege of Southern Maryland Fundamentals of Accounting Practice(ACC 1015) Course Syllabus Spring 2015
INSTRUCTOR: College of Southern Maryland Fundamentals of Accounting Practice(ACC 1015) Course Syllabus Spring 2015 Bonnie Harrison Office - Room #228 (PFA) Office Hours: Tuesdays: 9:00am 10:00am Wednesday:
More informationBUS 6180 INFORMATION TECHNOLOGY MANAGEMENT (Technological & Innovations Management) Spring 2011
BUS 6180 INFORMATION TECHNOLOGY MANAGEMENT (Technological & Innovations Management) Spring 2011 MBA Goal To provide excellent targeted education, primarily for business professionals and international
More informationCOURSE SYLLABUS & OUTLINE. X 460.86 Customer Relationship Management, Reg. # 247501
COURSE SYLLABUS & OUTLINE Course Title: Quarter: Instructor: Meeting Times: X 460.86 Customer Relationship Management, Reg. # 247501 Summer 2014 Peter Kraus Business Comprador Monday Evenings, 7:00 10:00
More informationCOURSE SYLLABUS. X 471.1 Marketing with Google AdWords (Online), Reg#W9326
1 COURSE SYLLABUS Course Title: X 471.1 Marketing with Google AdWords (Online), Reg#W9326 Quarter: Winter 2012 Dates: January 18 March 28, 2012 Instructors: Dr. Ash Pahwa Course Description The era of
More informationImprove Your Career Options with a Professional Certificate
InternetMktgBro 8/21/14 5:38 PM Page 3 Business and Management Internet Marketing Certificate Program Accelerate Your Career extension.uci.edu/im University of California, Irvine Extension s professional
More informationInsurance customer retention and growth
IBM Software Group White Paper Insurance Insurance customer retention and growth Leveraging business analytics to retain existing customers and cross-sell and up-sell insurance policies 2 Insurance customer
More informationBig Data: Key Concepts The three Vs
Big Data: Key Concepts The three Vs Big data in general has context in three Vs: Sheer quantity of data Speed with which data is produced, processed, and digested Diversity of sources inside and outside.
More informationAn Enterprise Framework for Business Intelligence
An Enterprise Framework for Business Intelligence Colin White BI Research May 2009 Sponsored by Oracle Corporation TABLE OF CONTENTS AN ENTERPRISE FRAMEWORK FOR BUSINESS INTELLIGENCE 1 THE BI PROCESSING
More informationTHE ANALYTICS HUB LEVERAGING A SHARED SERVICES MODEL TO UNLOCK BIG DATA. Thomas Roland Managing Director. David Roggen Director CONTENTS
THE ANALYTICS HUB LEVERAGING A SHARED SERVICES MODEL TO UNLOCK BIG DATA David Roggen Director Thomas Roland Managing Director CONTENTS Shared Services Today 2 What Is an Analytics Hub? 3 Analytics Hub
More informationPredictive Marketing for Banking
Tony Firmani Predictive Analytics Solution Architect Predictive Marketing for Banking Business Analytics software Session Overview Data Drives Decisions Applying Predictive Analytics Throughout Entire
More informationSNL BA Syllabus FA 208 - Successful Sales and Marketing Management for Business Today
SNL BA Syllabus FA 208 - Successful Sales and Marketing Management for Business Today School for New Learning DePaul University Course Syllabus: Successful Sales and Marketing Management for Business Today
More informationThe Peter F. Drucker and Masatoshi Ito Graduate School of Management Claremont Graduate University
The Peter F. Drucker and Masatoshi Ito Graduate School of Management Claremont Graduate University Spring 2007 Intensive Fridays 7 10 PM, Saturdays 1 4:50 PM January 26 & 27, February 9 & 10, 23 & 24 MGT
More informationSYLLABUS ACCT 322 -- ADVANCED ACCOUNTING MORAVIAN COLLEGE
SYLLABUS ACCT 322 -- ADVANCED ACCOUNTING MORAVIAN COLLEGE Discussion Leader: John D. Rossi III, MBA, CPA/PFS, CMA, CFM, CFP, CVA Economics & Business Department Comenius Room 208 E-Mail: mejdr01@ moravian.edu
More informationTEXT ANALYTICS INTEGRATION
TEXT ANALYTICS INTEGRATION A TELECOMMUNICATIONS BEST PRACTICES CASE STUDY VISION COMMON ANALYTICAL ENVIRONMENT Structured Unstructured Analytical Mining Text Discovery Text Categorization Text Sentiment
More informationHow Effectively Are Companies Using Business Analytics? DecisionPath Consulting Research October 2010
How Effectively Are Companies Using Business Analytics? DecisionPath Consulting Research October 2010 Thought-Leading Consultants in: Business Analytics Business Performance Management Business Intelligence
More informationCMGT 555 Online Marketing: Design, Development and Critical Analysis SPRING 2015
CMGT 555 Online Marketing: Design, Development and Critical Analysis SPRING 2015 Class time: Wednesday, 6:30 p.m. - 9:20 p.m. ANN L115 Anne Framroze E-mail: framroze@usc.edu Office Hours: By Appointment
More informationTaking A Proactive Approach To Loyalty & Retention
THE STATE OF Customer Analytics Taking A Proactive Approach To Loyalty & Retention By Kerry Doyle An Exclusive Research Report UBM TechWeb research conducted an online study of 339 marketing professionals
More informationMaster of Science in Marketing Analytics (MSMA)
Master of Science in Marketing Analytics (MSMA) COURSE DESCRIPTION The Master of Science in Marketing Analytics program teaches students how to become more engaged with consumers, how to design and deliver
More informationBig Data Analytics For Competitive Advantage Cross listed as MBAD7090, ITCS 6100, and HCIP 6103
DSBA6100 Spring 2015 Big Data Analytics For Competitive Advantage Cross listed as MBAD7090, ITCS 6100, and HCIP 6103 Dr. Jared, Associate Professor of Marketing Dr. Wlodek, Associate Professor of Computer
More informationSecuring Stakeholder Buy In for Big Data Initiatives
Copyright 2014 EMC Corporation. All rights reserved. 1 CDM Big Data Summit, May 2014 Securing Stakeholder Buy In for Big Data Initiatives Joshua Siegel, EMC Professional Services Big Data is changing the
More informationSyllabus CS 682: Systems Analysis and Design Methods Summer 2014 Section C1
Syllabus CS 682: Systems Analysis and Design Methods Summer 2014 Section C1 Text: Whitten and Bentley. Systems Analysis And Design Methods. Seventh Edition. NYC, NY. Irwin McGraw-Hill Publishers. ISBN-13:
More informationHow To Use Social Media To Improve Your Business
IBM Software Business Analytics Social Analytics Social Business Analytics Gaining business value from social media 2 Social Business Analytics Contents 2 Overview 3 Analytics as a competitive advantage
More information4th Annual ISACA Kettle Moraine Spring Symposium
www.pwc.com 4th Annual ISACA Kettle Moraine Spring Symposium Session 2 Big Data May 14th, 2014 Session Objective Learn about governance, risks, and compliance considerations that become particularly important
More informationNew Trends in Leveraging Customer Data to Drive Business Strategies. November 3, 2014 mather: symposium
New Trends in Leveraging Customer Data to Drive Business Strategies November 3, 2014 mather: symposium 1 Our world had to change. It did beginning in 2006. 2 Building Marketing Efforts Based On Data 2006-2013
More informationHyatt MDM Case Study: Increasing Revenue with Better Customer Insight. Chris Brogan VP Business Strategy Analytics Hyatt Hotel Corporation
Hyatt MDM Case Study: Increasing Revenue with Better Customer Insight Chris Brogan VP Business Strategy Analytics Hyatt Hotel Corporation About Hyatt Global Hospitality organization Several brands - Hyatt
More informationMarketing for Hospitality and Tourism Course Syllabus. Dr. Michelle Choate Office # C221 Phone: 305-809-3202 Mobile Office: 828-329-2157
Marketing for Hospitality and Tourism Course Syllabus COURSE TITLE Marketing for Hospitality and Tourism COURSE NUMBER HFT 2500 (11150) PREREQUISITES None CREDIT HOURS 3 CONTACT HOURS 45 CLASS MEETING
More informationApplied Analytics in a World of Big Data. Business Intelligence and Analytics (BI&A) Course #: BIA 686. Catalog Description:
Course Title: Program: Applied Analytics in a World of Big Data Business Intelligence and Analytics (BI&A) Course #: BIA 686 Instructor: Dr. Chris Asakiewicz Catalog Description: Business intelligence
More information2015 Social Media Marketing Trends
2015 Social Media Marketing Trends A 2015 survey and report on social media marketing practices and software usage By Megan Headley Research Director, TrustRadius First Published May 2015 2015 TrustRadius.
More informationWhite Paper. Cross-channel Marketing: Go Mobile. Go Social.
Cross-channel Marketing: Go Mobile. Go Social. Cross-channel Marketing: Go Mobile. Go Social. Introduction: Mobile and Social Media and Buying Cross-channel marketing is evolving from the vast number of
More informationBusiness Intelligence: Challenges and Opportunities Miguel de Castro Neto Porto, 20-22 June Decision makers need the right information in the right moment in the right place!!! Business Intelligence: Challenges
More informationHong Kong University of Science and Technology School of Business and Management Spring 2015
Hong Kong University of Science and Technology School of Business and Management Spring 2015 ISOM 2010 INTRODUCTION TO INFORMATION SYSTEMS Instructor: Professor Tat Koon KOH Email: koh@ust.hk Office: LSK
More informationMSIS 635 Session 1 Health Information Analytics Spring 2014
MSIS 635 Session 1 Health Information Analytics Spring 2014 Instructor : Kui Du (go by Andy) Instructor s Office : M-5-203 Online System : Blackboard Office Phone Number : 617-287-3171 Office Hours : Monday
More informationCRM for Real Estate Part 1: Why CRM?
CRM for Real Estate Anne Taylor Contents Introduction... 1 Typical Challenges for Real Estate... 2 How CRM can Help... 3 Conclusion... 6 Introduction Some Real Estate organizations are still asking why
More informationMarketing Automation Solutions Market India Increasing Enterprise Digital Marketing Initiatives Drive Growth at a CAGR of 25% by 2020
Marketing Automation Solutions Market India Increasing Enterprise Digital Marketing Initiatives Drive Growth at a CAGR of 25% by 2020 P82F-70 December 2014 Contents Section Slide Number Executive Summary
More informationINFS5873 Business Analytics. Course Outline Semester 2, 2014
UNSW Australia Business School School of Information Systems, Technology and Management INFS5873 Business Analytics Course Outline Semester 2, 2014 Part A: Course-Specific Information Please consult Part
More informationApplied Analytics in a World of Big Data. Business Intelligence and Analytics (BI&A) Course #: BIA 686. Catalog Description:
Course Title: Program: Applied Analytics in a World of Big Data Business Intelligence and Analytics (BI&A) Course #: BIA 686 Instructor: Dr. Chris Asakiewicz Catalog Description: Business intelligence
More informationSYLLABUS: MKT 454.022, Monday evening 4:00-6:30pm; BU124 Spring Semester, 2012
SYLLABUS: MKT 454.022, Monday evening 4:00-6:30pm; BU124 Spring Semester, 2012 Course: Marketing 454, Business-To- Business Marketing, 3 credit hours Department of Management, Marketing, and International
More informationSYLLABUS. B.B.A. V SEM Subject Customer Relationship Management
SYLLABUS B.B.A. V SEM Subject Customer Relationship Management UNIT I Introduction to CRM: Definition and concepts of CRM, Components of CRM, Understanding the goal of CRM and Customer Touch Points. UNIT
More informationPage 1 12/11/2010 COURSE SYLLABUS AND OUTLINE
Page 1 COURSE SYLLABUS AND OUTLINE Course Title: New Media Marketing Course #: X 460.394 Quarter: Winter, 2011 Instructor: Karl Kasca Office: (626) 795-9568 Fax: (626) 795-9569 E-mail: karl@increaseonlineprofits.com
More informationHow an Enterprise Data Warehouse Can Make for Happier Patients, More Productive Staff, and Healthier Bottom Lines
How an Enterprise Data Warehouse Can Make for Happier Patients, More Productive Staff, and Healthier Bottom Lines Written by Jyoti Kamal, Ph.D. President Health Care DataWorks How an Enterprise Data Warehouse
More informationFLORIDA ATLANTIC UNIVERSITY COURSE SYLLABUS
FLORIDA ATLANTIC UNIVERSITY COURSE SYLLABUS GENERAL INFORMATION Course number: HSC 5317 - #12395 Online Blackboard Learning System Term: Spring 2006 January 10, 2005 May 6, 2006 Course title: Health Curriculum
More informationTargeting. 5 Tenets. of Modern Marketing
5 Tenets of Modern Marketing Targeting The foundation of any effective Modern Marketing effort is to ensure you have a clear and accurate picture of your potential customers. Without the proper strategies
More informationBusiness Analytics. Opportunities and Pitfalls
Business Analytics Opportunities and Pitfalls Business Analytics Opportunities and Pitfalls By Steve Williams President, DecisionPath Consulting companies need to decide whether they want to be innovative
More informationMIS 0855 Spring 2015 Data Science
MIS 0855 Spring 2015 Data Science Day 1 Introduction Min-Seok Pang Management Information Systems Fox School of Business, Temple University minspang@temple.edu Jan. 12 th, 2015 2 Fighting Crimes with Data
More informationLEVERAGE BIG DATA ANALYTICS TO IMPROVE CUSTOMER EXPERIENCE
Copy right 2012, S AS Ins titute Inc. A ll rights reserve d. LEVERAGE BIG DATA ANALYTICS TO IMPROVE CUSTOMER EXPERIENCE ASEAN BANKER FORUM 2014 MARK ESCAURIAGA MARK.ESCAURIAGA@SAS.COM Copy right 2012,
More informationMGT 3361 Project Management
MGT 3361 Project Management Course Description/Overview This course provides the student with an introduction to the project management process. The course focuses on both the common body of knowledge
More informationThe Business Case for Using Big Data in Healthcare
SAP Thought Leadership Paper Healthcare and Big Data The Business Case for Using Big Data in Healthcare Exploring How Big Data and Analytics Can Help You Achieve Quality, Value-Based Care Table of Contents
More informationBIG Data. An Introductory Overview. IT & Business Management Solutions
BIG Data An Introductory Overview IT & Business Management Solutions What is Big Data? Having been a dominating industry buzzword for the past few years, there is no contesting that Big Data is attracting
More informationSAP BusinessObjects. Solutions for Large Enterprises & SME s
SAP BusinessObjects Solutions for Large Enterprises & SME s Since 1993, we have been using our BI experience to ensure you buy the right licences at the lowest price, thus helping to deliver the best and
More informationMaximize customer value and reduce costs and risk
Maximize customer value and reduce costs and risk companies around the world face the same challenges: How can they lower costs while increasing profitability? Improve efficiency? Identify, attract and
More informationUsing business intelligence to drive performance through accuracy in insight
PERFORMANCE & TECHNOLOGY Using business intelligence to drive performance through accuracy in insight ADVISORY Even when a BI implementation represents a significant technical achievement processing terabytes
More informationHexaware E-book on Predictive Analytics
Hexaware E-book on Predictive Analytics Business Intelligence & Analytics Actionable Intelligence Enabled Published on : Feb 7, 2012 Hexaware E-book on Predictive Analytics What is Data mining? Data mining,
More informationRevenue Management and Pricing
Course Syllabus - Spring 15 1 OPMG- GB.3330 & MULT- UB.0030 MEETINGS: Monday 6:00PM-9:00PM Room KMC 3-60 INSTRUCTOR:, IOMS Department Leonard N. Stern School of Business, NYU KMC 8-76, (212) 998-4018,
More informationCareer Opportunities in Healthcare Analytics presented by Kaiser Permanente Northwest Region. Today s Speakers. Friday, May 13 at 1:00 pm.
Career Opportunities in Healthcare Analytics presented by Kaiser Permanente Northwest Region Friday, May 13 at 1:00 pm Today s Speakers Background Brian Sikora, Director Delilah Moore, Manager Corporate
More informationMobile Real-Time Bidding and Predictive
Mobile Real-Time Bidding and Predictive Targeting AdTheorent s Real-Time Learning Machine : An Intelligent Solution FOR Mobile Advertising Marketing and media companies must move beyond basic data analysis
More informationBig Data and Social Networks Research How Digital Technologies Shape Collective Behavior and Why it Matters
COMM-321 Big Data and Social Networks Research How Digital Technologies Shape Collective Behavior and Why it Matters Spring 2015 Tuesday-Thursday, 1:30-3:00 pm, room 224 (Project discussions: Friday 3:00
More informationBig Data: How can it enhance your strategy?
7 Big Data: How can it enhance your strategy? Practice Area: IT Strategy Topic Area: Big Data Connecting the data dots for better strategic decisions Data is essential for organisations looking for answers
More informationMBAD7090-U90: Mobile Marketing and Analytics
MBAD7090-U90: Mobile Marketing and Analytics SPRING 2014, W 5:30pm to 8:15 pm, Room 801 Center City Building Taught by Dr. Anu Brookins (Anu_Brookins@belk.com) Dr. Brookins Spring 2014 Office Hours: W
More informationEnabling Data Quality
Enabling Data Quality Establishing Master Data Management (MDM) using Business Architecture supported by Information Architecture & Application Architecture (SOA) to enable Data Quality. 1 Background &
More informationEMPORIA STATE UNIVERSITYSCHOOL OF BUSINESS Department of Accounting and Information Systems. IS213 A Management Information Systems Concepts
EMPORIA STATE UNIVERSITYSCHOOL OF BUSINESS Department of Accounting and Information Systems IS213A Course Syllabus Spring 2013 MISSION STATEMENT: The School of Business prepares a diverse student body
More informationCourse Overview Principles of Project Management
Course Overview Principles of Project Management 1. Catalog Description: In today s cost-competitive and often complex work environment, engineers are very likely to be called upon to manage projects (or
More informationWhenever possible, I will announce changes to the course via the Canopy announcement function.
Course Information: Title: Business Intelligence Course #: IS7034-003 Credit Hours: 3 Term: Spring, 2016 2 nd Term February 29, 2016 April 24, 2016 Tuesday s 6:00 9:50, Lindner 215 Prerequisites: IS6030
More informationJEFFERSON COLLEGE COURSE SYLLABUS MGT220 WEB MARKETING. 3 Credit Hours. Prepared by Vickie Morgan February 10, 2013
JEFFERSON COLLEGE COURSE SYLLABUS MGT220 WEB MARKETING 3 Credit Hours Prepared by Vickie Morgan February 10, 2013 Dr. Mary Beth Ottinger, Division Chair, Business & Technical Education Dr. Dena McCaffrey,
More informationUniversity of North Texas at Dallas Spring 2014 SYLLABUS
University of North Texas at Dallas Spring 2014 SYLLABUS MGMT 5710D.090, HUMAN RESOURCE MANAGEMENT SEMINAR 3 CREDIT HOURS Department of Management Division of Urban and Professional Studies Instructor
More informationGIS6100: Geographic Information Systems Syllabus Spring 2015
GIS6100: Geographic Information Systems Syllabus Spring 2015 Instructor Name: Dr. Joni Downs Lab/Office: NES 320/NES218D Email: downs@usf.edu Phone: None About the Course Course meeting: Online. Office
More informationBusiness Analytics and the Nexus of Information
Business Analytics and the Nexus of Information 2 The Impact of the Nexus of Forces 4 From the Gartner Files: Information and the Nexus of Forces: Delivering and Analyzing Data 6 About IBM Business Analytics
More informationINTRODUCTION TO QUALITATIVE METHODS SYA 6936 Monday 9am to 12noon
INTRODUCTION TO QUALITATIVE METHODS SYA 6936 Monday 9am to 12noon Instructor: Deana Rohlinger Office: 221 Pepper Office Hours: Monday 12pm to 1pm, Wednesday 12pm to 1pm and by appt. Phone: 644-2493 E-mail:
More informationThe Power of Personalizing the Customer Experience
The Power of Personalizing the Customer Experience Creating a Relevant Customer Experience from Real-Time, Cross-Channel Interaction WHITE PAPER SAS White Paper Table of Contents The Marketplace Today....1
More information