DATA ANALYTICS THE GATEWAY TO BUSINESS INTELLIGENCE. November 18-21, 2013 Boston University School of Management Executive Leadership Center

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1 DATA ANALYTICS THE GATEWAY TO BUSINESS INTELLIGENCE Boston University Executive Programs November 18-21, 2013 Boston University Executive Leadership Center For complete program details visit bu.edu/data How much executive insight is trapped within your business data? Presented by: CIO magazine and Boston University EARLY BIRD DISCOUNT: SAVE $425

2 OVERVIEW Get an Executive Perspective on Data Analytics Strategy and Technique. There s a wealth of valuable business insight trapped within the bits and bytes of corporate data that can be used to drive growth and competitive advantage. Data Analytics: The Gateway to Business Intelligence is a four-day learning event designed to teach CIOs the best practices in use for harnessing data analytics to reveal untapped business opportunities. Here, senior IT executives will explore the prescriptive, predictive and descriptive methods for applying data metrics to their executive decision-making process. And they ll come away with the advanced skills and understanding needed to strategically leverage a data analytic strategy for career and business success. A FOUR-DAY INTERACTIVE PROGRAM. This course was developed by CIO magazine and Boston University School of Management in a shared commitment to deliver excellence in executive education. The course will take place at the Hotel Commonwealth, presided over by distinguished members of the Boston University faculty. FOR CIOs and SENIOR IT EXECUTIVES. With curriculum developed and presented by academic and industry thought leaders, the CIO Data Analytics Program is establishing a new era in collaboration between academia and business. The alliance draws upon Boston University s expertise in highly interactive learning and CIO magazine s position as a publishing leader in providing analysis, strategy and insight for senior IT executives. WHO SHOULD ATTEND? CIOs Senior IT and business managers Analytics professionals Executives who need to understand emerging analytics concepts WHAT YOU WILL LEARN Strategies for applying analytics to optimize business processes such as market research, project/portfolio management and supply chain/distribution Techniques for leading business transformation by applying data analytics insight Skills needed to establish and sustain advanced analytics capabilities in your organization Tips for gaining competitive advantage in a business landscape where data analysis and predictive modeling have become essential keys to understanding customers and creating effective corporate strategies PROGRAM FEATURES Comprehensive four-day residential format Intense, highly interactive itinerary Learning and living alongside executive colleagues Courses led by leading practitioners and educators Individual and team-based knowledge gathering Analysis of case studies and real-world scenarios Targeted classroom exercises and discussions BONUS! Unlimited networking opportunities with Boston University faculty Executives from industry-leading organizations CIO magazine editors and executives

3 DISTINGUISHED FACULTY Kabrina Chang, Boston University Kabrina Chang is an assistant professor in Boston University s Markets, Public Policy & Law Department. Chang s research areas encompass employment law and employer liability, including the ethical, legal, and managerial implications of lifestyle discrimination. Nitin Joglekar, Boston University Nitin Joglekar is Associate Professor of Operations and Technology Management and Dean s Research Fellow at Boston University. Professor Joglekar s research and teaching interests span sensing, forecasting, machine learning, and shaping of uncertain data and decisions. His studies have been informed by observations from the energy, hospitality, medical devices and software industries. He draws upon these research ideas to advise entrepreneurial and established firms in their initiatives for achieving business growth and profitability by managing products, services and supply chain complexity. Shuba Srinivasan, Boston University Shuba Srinivasan is an Associate Professor and Dean s Research Fellow in marketing at Boston University. Her research focuses on strategic marketing problems, in particular long-term marketing productivity, to which she applies her expertise in time-series analysis and econometrics. She has built her research insights in industries ranging from automobiles to pharmaceuticals and consumer goods. Her current research focuses on marketing s impact on financial performance and firm valuation, marketing metrics, customer mindset metrics, marketing dashboards, and decomposing demand effects of radical innovations. N. Venkat Venkatraman, David J. McGrath, Jr. Professor of Management, Information Systems Department, Boston University School of Management N. Venkat Venkatraman is the David J. McGrath, Jr. Professor of Management and Chairman, IS Department, at Boston University School of Management. He is an IBM Faculty Fellow for 2004, focusing on business challenges in the global automotive sector. His research and teaching lie at the interface between strategic management and information technology, with a particular focus on how companies position to win in a network era. Sean Willems, Boston University Sean Willems is an Associate Professor of Operations Management at Boston University s. Dr. Willems has pioneered the development of commercialgrade inventory optimization tools. In 2000, he founded Optiant, a provider of multiechelon inventory optimization tools, which was later acquired by Logility, Inc. His work with companies such as Hewlett Packard and Proctor & Gamble is highly recognized, and his work on inventory placement under nonstationary demand won the Wagner Prize in REGISTER: bu.edu/data Registration code: VIP Deadline: November 11, 2013

4 THE CIO DATA ANALYTICS PROGRAM Topic: Road Map: Analytics-Driven Competitive Advantage Overview of Techniques: Prescriptive, Predictive and Descriptive Methods Data Collection & Inferences: Regression, Forecasting and Analytics for Inventory and Supply Chain Excellence Understanding Key Performance Indicators (KPIs) for Enhanced Corporate Decision Making Privacy and Legal Issues in Analyzing Employee Online Leading Data-Driven Competitive Transformation Learn How To Do The Following: Understand how developments in Internet technology have created a new road map for analytics-driven advantage. Identify management challenges in becoming a real-time enterprise. Analyze data-to-business results chain: New leadership mandate. Identify the business problems in terms of quantifiable variables and forecasting trends associated with these variables. Recommend optimal decisions based on trade-off analysis. Apply, compare and contrast techniques in decision making during the design and oversight of portfolio of software development projects. Understand the use of regression-based analytics for forecasting and prediction. Explore effective allocation of marketing mix resources. Apply marketing resource allocation with hands-on exercises. Understand the framework for assessing and tracking performance of marketing analytics. Examine metrics and dashboards for measuring returns on marketing analytics. Provide connectors between marketing inputs and marketing outcomes. Understand the need for strategic and tactical inventory optimization. Document the organizational structure required to implement supply chain analytics. Identify the workflow and timeline for a first analytics project. Use simulation for an integrated approach to data analytics and results from multiple businesses considerations. Identify the benefits and risks associated with meta data-driven decisions. Learn about interactions and biases that can confound decision making. Discuss the competitive need to adjust KPIs as the marketplace evolves. Understand the evolving legal issues of employees online activity. Identify potential liability risk for your business from the online conduct of your employees. Analyze the expanding role of regulators and state governments in addressing your company s policies regarding employee online conduct. Gain perspective on the importance of integrating various skills (e.g., prescriptive, predictive and descriptive methods) into the aggregate talent management and adaptive decision making associated with implementation of various business models.

5 Monday, Nov. 18 Tuesday, Nov. 19 Wednesday, Nov. 20 Thursday, Nov. 21 Program Introduction 8:45 am 10:00 am Road Map: Analytics Driven Competitive Advantage; Case: Big Data at LuxRetailer s (A) Overview of Techniques: Descriptive, Prescriptive and Predictive Methods Managing Innovation Projects Based on Social Network Analytics 3:00 pm 5:00 pm CIO Magazine: Trends in Business Analytics 5:00 pm 6:00 pm Welcome Reception Continental Breakfast 7:30 am 8:30 am Analytics for Inventory and Supply Chain Excellence Analytics for Inventory and Supply Chain Excellence Understanding Key Performance Indicators (KPIs) for Enhanced Corporate Decision Making 3:00 pm 4:00 pm Understanding Key Performance Indicators (KPIs) for Enhanced Corporate Decision Making 4:00 pm 5:30 pm Integrative Assignment LUNCH 12:15 pm 1:30 pm Open Conversation Data Collection & Inferences: Regression, Forecasting and Pricing & Promotions Linking Financial & 3:00 pm 4:30 pm Integrative Marketing Research Exercise 4:00 pm 5:30 pm Panel: Tool Supplier s View Privacy and Legal Issues in Analyzing Employee Online Privacy and Legal Issues in Analyzing Employee Online 1:30 pm 3:00 pm Leading Data Driven Competitive Transformation: Case: LuxRetailer s (B) Register by November 11 bu.edu/data Registration code: VIP REGISTRATION To Register: Registration for this four-day course is $4,675. Register by September 7, 2013 and take advantage of the early registration fee of $4,250. Registration closes November 11, Registration for the program includes tuition, course materials and meals. Parking, hotel and transportation fees are not included. Space is limited, so register early to ensure your participation. Register online at: bu.edu/data Registration code: VIP Phone: Accommodations: Overnight accommodations are available at Hotel Commonwealth, a luxury Back Bay boutique hotel located just minutes from the Executive Leadership Center facility and close to Boston-area attractions like Fenway Park, shopping and dining. A special room rate of $249 is available for program participants prior to September 17, Space is limited, so please contact the hotel directly at and refer to CIO Data Analytics Program to get this special rate. Hotel Commonwealth 500 Commonwealth Avenue Boston, MA Phone: Cancellation Policy: Cancellation must be communicated in writing by or by mail. Phone cancellations will not be accepted. For the November 2013 program, full refunds will be issued for all cancellation notices received on or prior to October 6, For cancellation notices received between October 7, 2013 and October 21, 2013, refunds minus a $500 administrative fee will be issued. No refunds will be given issued for cancellation notices received on or after October 22, Registration ends November 11, 2013.

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