International Association for the Management of Digital Analytics Standards, Training and Certification for Digital Analytics Management Managed Analytic Services Inc. Data Analysis Expertise Insight Value Welcome to the 1 st Annual Executive Seminar & Workshop in Predictive Analytics + Big Data FEATURED SPEAKERS INCLUDE: January 13 14, 2014 St. Andrew s Club and Conference Centre Toronto, ON LISA ABE-OLDENBURG, JD Partner, IT Law Group, Bennett Jones LLP Former President (Canada) International Association of Outsourcing Professionals EDMUND DENGLER, M. Math President and CEO, ETrans Security Inc Co-Founder and Former CEO, esentire Inc. JERRARD GAERTNER, SB (MIT), CPA, CA, CISA, CISSP, CGEIT, CIA, I.S.P., ITCP President, Canadian Information Processing Society (Ontario) Adjunct Profession of Computer Science Ryerson University Dr. CINDY GORDON, PhD Founder and CEO, SalesChoice Inc. Member of the Governing Council, CATA Alliance LARRY SIMON, MBA, CMC President, Inflection Group Co-Founder, Managed Analytic Services Inc. Former Partner, Ernst & Young and CIO, Capgemini PETER WATKINS, MSc, MBA President, Watkins Professional Services Former CIO, Canadian Imperial Bank of Commerce Former CTO, McGraw Hill Group of Companies Former Managing Partner, Ernst & Young CONFERENCE SESSIONS INCLUDE: Big Data Reality versus Hype Effective Management of Big Data Initiatives Security and Risk Management of Big Data Asking the RIGHT Questions Makes all the Difference Tools, Techniques and Technologies You Need to Know Predictive Analytics Ethics, Privacy and the Law Engaging the IT Department Pilot Projects and Quick Wins... More sessions on page 4 The most up-to-date, authoritative and practical information available
1 st Annual Executive Seminar & Workshop in Predictive Analytics + Big Data 7:45 8:30 Continental Breakfast and Registration Day 1 Monday, January 13, 2014 2 8:30 8:45 Welcome and Introduction by Jerrard Gaertner 8:45 9:50 PREDICTIVE ANALYTICS + BIG DATA: WHAT THEY ARE AND WHAT THEY RE NOT Speaker Larry Simon Hype or reality? Why now? Economics, technology and the open data movement. 9:50 10:40 BIG DATA AND CRM THE INSIDE STORY Speaker Dr. Cindy Gordon Predictive analytics appears to be poised to transform sales and CRM practices. Many sales executives believe that Big Data techniques can have immediate and dramatic impact on the customer bottom line, as well as customer loyalty and retention - and this at a time when some 40% of Fortune 1000 companies are failing to meet their sales/revenue targets. 10:40 11:00 Morning break 11:00 12:10 TOOLS, TECHNIQUES AND TECHNOLOGIES A NECESSARY PRIMER Speakers Edmund Dengler with Larry Simon IBM, Oracle and Hadoop 2.0. The new data warehouse, self-service analytics and the impact of nonrelational architectures on data acquisition and analysis. 12:10 13:10 Luncheon break 13:10-13:50 EFFECTIVE MANAGEMENT OF BIG DATA INITIATIVES Understanding the power of the analytics process. Agile, Kanban and alternative approaches to human resource management. ROI, the business case and organizational learning. 13:50 14:40 STRATEGY FOR BIG DATA ARCHITECTURE Speakers Peter Watkins with Larry Simon The modern data infrastructure, end of the relational hegemony, data stored forever. English language queries. Mid-scale analytics without a huge investment. 14:40 15:30 BIG DATA LIFE CYCLE, DATA CLASSIFICATION AND QUALITY MANAGEMENT Acquiring, classifying, controlling and cleansing the data. ETL tools. 15:30 15:50 Afternoon break 15:50 16:35 THE INFORMATION BROKER S PERSPECTIVE Speaker TBA Data brokers no longer, the information broker provides a huge assortment of public, private and social media data, raw or pre-processed according to clients needs. 16:35 17:15 SECURITY AND RISK MANAGEMENT OF BIG DATA Speakers Edmund Dengler with Jerrard Gaertner Dealing with increased risks, legislative requirements, high expectations and a lack of standards. 17:15 17:30 Wrap-up Day 1
1 st Annual Executive Seminar & Workshop in Predictive Analytics + Big Data 8.00 8:30 Continental Breakfast and Registration Day 2 Tuesday, January 14, 2014 8:30 9.20 THE BIG PICTURE Legacy systems issues. Advocacy and the business case. Nurturing the Data Scientist. Predictive analytics in key segments (marketing, finance, fraud, insurance, policing). Valuing intellectual property in patterns and predictions. 9:20 10:20 PILOT PROJECTS AND QUICK WINS Facilitators Larry Simon, Edmund Dengler Identifying high value, doable potential projects (Group Exercise). The importance of quick wins. 10:20 10:40 Morning break 10:40 11:25 ASK THE RIGHT QUESTION TO FIND THE RIGHT INSIGHT Speaker - Jerrard Gaertner Exploring and exploiting data effectively. Big wins versus incremental progress. Experimental approach to Predictive analytics. Analytics Business Cycle. 11:25 12:15 ANALYTICS MATURITY MODEL Panel Discussion (Speakers). Moderator: Peter Watkins Honest self-evaluation and focusing on value empowers the organization. 12:15 13:15 Luncheon break 13:15 13:50 PLANNING AND EXECUTING A DATA STUDY Big, small and stealth projects. Role of the audit, risk and compliance functions. Special considerations business continuity. 13:50 14:35 HUMAN RESOURCES, STAFF AND TRAINING Speaker Larry Simon Roles of Data Scientist and Chief Data Officer. Building a robust Data Science function. Buying versus building expertise in a sparse skills market. 14:35 15:20 BIG CHANGE MANAGEMENT IT S ESSENTIAL Speaker TBA Whose process is it anyway? Competing and vested interests. Approaches to adopting useful change. 15:20 15:40 Afternoon break 15:50 16:15 ENGAGING THE IT DEPARTMENT Speaker - Peter Watkins with Larry Simon Importance of IT Department participation and support. Strategic hardware and software decisions. 16:15 17:00 PREDICTIVE ANALYTICS ETHICS, PRIVACY AND THE LAW Speaker Lisa Abe-Oldenberg Ethical dilemmas in the Big Data society. Legislative mandates for privacy, data ownership and data transfer. Using the cloud, outsourcing. Identifying and protecting a new kind of intellectual property. 17:00 17:30 Open Discussion, sharing ideas and questions. Wrap Up day 2 3
CONFERENCE SESSIONS INCLUDE: Continued from page 1 Big Data and CRM The Inside Story Data Life Cycle Classification, Quality and Correctness Strategy for Big Data Architecture Change Management It s Essential WHO SHOULD ATTEND? Corporate and government executives, senior managers and decision-makers who are exploring, evaluating or planning to implement Big Data / Predictive Analytics Strategists, policy makers, sales/marketing leads, business process owners, e-government champions, auditors and fraud specialists who are often first to identify meaningful opportunities for predictive analysis CIOs, VPs and system architects charged with building and maintaining the big data infrastructure and ensuring its integrity Corporate counsel, privacy and security officers, data management personnel HOW THEY WILL BENEFIT Identify and better evaluate Big Data opportunities to improve existing services/products, reduce operating costs, increase market share, streamline logistics or improve customer service Point to exciting use cases of Big Data in other organizations Effectively champion Big Data in the organization and develop strategic alliances to maximize the likelihood of success Understand and better manage the key processes underlying a formal data study Articulate the need for change management skills to implement insights and maximize value and ROI Better understand the unique security, privacy and ethical issues arising when working with large datasets and predictive algorithms. Plan to address identified risks Better understand how data management, classification and quality affect analysis Formulate effective and insightful questions for predictive analytic study Work effectively with a data science or statistical team Better understand the strategic and technical trade-offs in selecting a Big Data platform and technology suite 4
CONFERENCE REGISTRATION INFORMATION Registration Fee: *$1,995 plus HST *Conference fee includes breakfast and lunch Monday and Tuesday, as well as a reception and supper Monday night. Current members of the Canadian Information Processing Society or ISACA receive a $400 discount on registration. Other organizational discounts may also apply. Registration is only available online, through Eventbrite. To register, click HERE St. Andrew s Club & Conference Centre 150 King Street West Toronto, ON M5H 4B6, Canada Monday, January 13, 2014 at 8:00 AM -Tuesday, January 14, 2014 at 5:30 PM (EST) l PROGRAM DISCLAIMER The speakers, topics, program format and events are correct at the time of printing. If unforeseen circumstances occur, the Organizers reserve the right to alter or delete items from the program or cancel the conference and refund all registration fees. CANCELLATION POLICY If you are unable to attend the event for any reason, you may substitute with someone else from your organization by contacting the Organizers listed below. A nominal transfer fee of $75 will apply. You may also cancel no later than 17:00 on December 30, 2013 by contacting the Organizers by confirmed email. A cancellation fee of $500 will apply in such cases. Alternatively, a voucher will be issued in the full amount of the registration fee for use at a future event of the Organizers, held within 12 months. NOTE: Cancellations received later than 17:00 on December 30, 2013 will NOT be eligible for a refund. Cancellations should be emailed to INFO@managedanalyticservices.com or INFO@ia4mda.com. Confirmation of receipt by return email. CONFERENCE ORGANIZERS: International Association for the Management of Digital Analytics 32 Heather Road, Toronto, Ontario M1S 2E1 INFO@ia4mda.com Managed Analytic Services Inc. 658 Danforth, Suite 209 Toronto, Ontario M4J 5B9 (416) 427-1950 INFO@managedanalyticservices.com 5