Predictive Analytics & Big Data

Transcription

1 2016 Predictive Analytics & Big Data March 14 & 15, 2016 San Francisco, CA Big Data Analytics Data Products Data Science Predictive Analytics Digital Advertising Analytics Customer Insights & Analytics Data Engineering Data Innovation Product Management

2 FEATURED PRESENTERS Ivan Galea, Head of Business Box George Roumeliotis, Distinguished Data Walmart Michael Li, Senior Director, Business LinkedIn Aamod Sathe, SMB Analytics facebook June Andrews, Data Noom Inc. Mario Vinasco, Data Scientist, Marketing facebook Jules Malin, Product Analytics GoPro Tom Yu, Director, Programmatic Yahoo! Julie Kim, Programmatic Media Electronic Arts Mark Crafts, VP, Cloud Solutions for Media & Ad CloudSense Ken Kring, Director of Product Sears Cathy Tanimura, Director of Analytics & Big Okta Patrick Deglon, Director of Engineering, Analytics Tech Motorola David Gerster, Vice President of Data BigML Daqing Zhao, Director Advanced Macys.com

3 Monday, March 14, :30am 9:45am 11:00am 12:00pm 1:00pm Big Data Innovation Improve decision making capabilities by effectively analyzing big data Advanced Big Data Platform Develop an enterprise data platform that enables informed decision making and innovative product development Pursuing Excellence through Analytics Pursuing Excellence Analytics + Process + Technology = Advantage Lunch Predictive Analytics & Big Data Data Products & Analytics Customer Analytics & Insights Big Data Architecture & Analytics A comprehensive approach to harness big data architecture and analytics for business growth Experimentation Framework for Product Delivery Build an experiment framework to drive product alignment and optimization Mastering Customer Behavioral Analysis Finding the key ingredients to master customer analytics and achieve measurable business results 2:15pm Predictive Analytics for Growth Define and leverage analytics capabilities to drive business growth Data Science & Design Thinking Build an experiment framework to drive product alignment and optimization Customer Relationship Measuring & Monitoring Framework for evaluating and monetizing customer relationships 3:30pm Real-Time Big Data and Analytics Utilize real-time data measurement, data integration, analytics and data visualization to drive decision making Capability Modeling & Big Data Product Development Monetizing big data through use case and experimentation Real Time Analytics & Customer Visualization Gain insight into customer behaviors in real-time through Big Data analytics Tuesday, March 15, :30am 9:45am Beyond Big Data Framework to enable analytics teams to drive business impact through Big Data Evolution of Data Science Maximize data science and big data to support marketing, customer experience, user experience and new product development Predictive Analytics & Big Data Data Products & Analytics Customer Analytics & Insights 11:00am Advancements in Machine Learning A comprehensive framework including cluster designs, data layout and preparation, ML methods and computation Product Management through Analytics: Using Science to Create Profit Data-based Business Development for Digital Products and Interactive Media (DPIM) Customer Journey Analytics Gain insight into the customer journey through analytics 12:00pm Lunch 1:00pm Advanced Analytics CoE Develop an enterprise analytics center of excellence that enables analyticsbased decision making Big Data Driven Personalization Use Big Data to transform the customer experience Customer Lifetime Value Customer lifetime value framework and customer segmentation analysis 2:15pm Analytics for All Bringing simplicity, ubiquity, and actionability to analytics, without sacrificing statistical rigor, to empower all levels of the workforce

4 Three Unique Tracks Predictive Analytics and Big Data are more than just buzzwords they are defining modern business in ways unimaginable even a decade ago. Organizations can now tap into vast oceans of internal and external data to gain insights, develop new products and develop competitive advantage. Learning new ways to harness and leverage data, perform effective analytics and develop new technology by-way-of data science is critical to growth for the modern organization. Predictive Analytics & Big Data 2016 is a comprehensive, vendor-agnostic, two-day event focused on advanced analytics and data science. Three distinct tracks focus on Big Data, Data Product Development & Management, and Programmatic and Digital Analytics. This is a vendor-neutral event featuring learning sessions and case studies from some of the leading thought leaders working in advanced analytics and data science. Attendees will instantly realize the difference between this forum and other conferences. Learning sessions are vendor agnostic and there are NO sales pitches. Presentations will be conducted by the most talented corporate experts and thought leaders, both regionally and nationally. For those who are interested in learning more about available tools, a select few vendors will be invited to provide demos and information by request. Predictive Analytics & Big Data focuses on the fundamentals of establishing a data platform to support Big Data analytics, then leverage big data to develop insights and support better business decisions. This track focuses on accessing analytics in real time, data architecture, data mining and the analytics organization. The Data Products track focuses on the development of products using both internal, organization data, as well as external data sources. Data Products are developed with the purpose of adding value to internal customers, enhance existing products as well venture into new lines of business. Companies are more and more finding the value in data product development and this track looks to reveal tools and best practices in the area. Customer Analytics & Insights focuses on leveraging the wealth of customer data to create valuable analytics and real-time insights to enhance customer experience and increase conversion. Good customer analytics will enhance targeting, provide behavioral insights and improve forecasting.

5 KEYNOTES 8:30am Big Data Innovation Improve decision making capabilities by effectively analyzing big data Transition from data reporting to advanced analytics Understanding patterns in large data sets to spot trends Optimize analytics results by including the breadth of organizational data inputs in the analytics process Develop a Big Data organizational framework which includes governance and strategic considerations 9:45am Advanced Data Platform Develop a data driven enterprise that delivers sustainable value and real business impact Create a framework that allows you to get the most out of your data Optimize cloud and open source software to drive your data platform Manage an ecosystem of tools that enable automation and data efficiency Implement evolving techniques for effective data driven strategic planning and execution 11:00am Pursuing Excellence through Analytics Pursuing Excellence Analytics + Process + Technology = Advantage Optimize data assets to gain competitive advantage Effective analysis that allows senior management to make more informed decisions Decision support aligned to business needs and objectives Utilize analytics to better determine ROI Establish predictive capabilities through analytics for better forecasting

6 Monday, March 14 th Predictive Analytics & Big Data Data Products & Analytics Customer Insights & Analytics 1:00pm Big Data Architecture & Analytics A comprehensive approach to harness big data architecture and analytics for business growth Develop technical strategies that allow your organization to harness Big Data Understand the requirements of effective data preparation for Big Data analytics Develop data organization methodologies that allow quick adaptation to changing business demands Align business objectives with Big Data capabilities to ensure successful analytics enablement and deployment Experimentation Framework for Product Delivery Build an experiment framework to drive product alignment and optimization Utilize experiments to drive decision making around product development Develop a framework for design, deployment and analysis Create a system to enable experiments and prioritize opportunities Maximize testing returns by making testing less expensive and more effective Mastering Customer Behavioral Analysis Finding the key ingredients to master customer analytics and achieve measurable business results Understand how to overcome the big data challenges of siloed customer behavioral data Learn how you can leverage the wealth of organizational and third party online and offline data to gain better customer insights Comprehend how customer analytics can enhance your customers experience across touchpoints Explore use cases across customer acquisition, conversion and retention 2:15pm Connected Analytics Utilize and integrated approach to leverage analytics across all organizational decision making Optimize distinct analytical capabilities to gain competitive advantage Decision support aligned to business needs and objectives Utilize analytics to better determine opportunities for ROI and growth Establish predictive capabilities through analytics for better forecasting Data Science and Design Thinking Build an experiment framework to drive product alignment and optimization Apply design thinking to challenges and opportunities that data creates Utilize rapid prototyping and user empathy to apply design thinking to data science Effectively visualize the results from valuable data acquisition and collection Channel key ideas and frameworks of design thinking translate the value of data Customer Relationship Measuring & Monitoring Framework for evaluating and monetizing customer relationships Create brand loyalty through customer insights Techniques for combining customer data to create full views of customers and customer segments Strategies for the most effective engagement medium and messaging 3:30pm Real-Time Data Visualization and Analytics Utilize real-time data measurement, data integration, analytics and data visualization to drive decision making Gain insight into customer behaviors in real time through Big Data analytics Optimize marketing spend by allocating resources real-time for more effective engagement Use Just-In-Time decision making to enhance customer interaction in realtime Generate more moments of interaction via media properties, brands and each other Capability Modeling & Big Data Product Development Monetizing big data through use case and experimentation Use big data to unlock growth and new product opportunities Use advanced tactics to identify strengths and weaknesses of competitors Identify access and challenge points for new market entrants Use analytics to uncover unmet market needs Create dynamic competitor profiles to forecast changes in the competitive landscape Real Time Analytics & Customer Visualization Gain insight into customer behaviors in real-time through Big Data analytics Gain insight into trends, risks and opportunities in real time through Big Data analytics Optimize resource allocation in realtime for more effective engagement Use Just-In-Time decision making practices Generate more moments of interaction via media properties, brands and each other

7 KEYNOTES 8:30am Beyond Big Data Framework to enable analytics teams to drive business impact through Big Data Transition from data reporting to advanced analytics Understanding patterns in large data sets to spot trends Optimize analytics results by including the breadth of organizational data inputs in the analytics process Develop a Big Data organizational framework which includes governance and strategic considerations 9:45am Evolution of Data Science Maximize data science and big data to support marketing, customer experience, user experience and new product development Utilize data scientists in the most effective and efficient manner for driving growth Develop an effective management system that maximizes the value of data scientists Create a framework that aligns data scientists with organizational needs and opportunities Organize data scientist to ensure efficiency with current and future product development

8 Tuesday, March 15 th 11:00am Predictive Analytics & Big Data Data Products & Analytics Programmatic & Digital Analytics Advancements in Machine Learning A comprehensive framework including cluster designs, data layout and preparation, ML methods and computation Emerging trends in machine learning for navigating the deluge of data Learn to express and execute machine learning algorithms to gain insight Use machine learning to detect fraud, analyze social networks and create personalized recommendations Best practices in data cleaning, predictive model building and insight delivery Product Management through Analytics: Creating Profit through Science Data-based Business Development for digital products and interactive media Business intelligence goals for product development Potential impact from a sophisticated analytics practice Hurdles, initial scope, and pattern recognition Business demands, product needs, and identifying variables Continual evolution: The importance of a product vision and iterations Customer Journey Analytics Gain insight into the customer journey through analytics Leverage analytics to map the discreet set of interactions that a customer has with a brand Visualize the customer journey across channels Look at the customer journey holistically rather than single interaction based Gain a better understanding of the implications that a customer journey has on the organization 1:00pm Advanced Analytics CoE Develop an enterprise analytics center of excellence that enables analyticsbased decision making Develop a framework for analytics excellence Gain better insight through the use of predictive analytics and advanced modeling techniques Leverage big data and analytical tools to predict customer trends, acquisition and retention Customer retention and product analysis metrics to optimize sales and marketing performance Big Data-Driven Personalization Use data science to translate information and insight to action Best practices for data scientist evaluate and present information Incorporate processes to ensure effective use of data assets Integrate analyst activities to drive improvements and best practices Gain insight across the organization by aligning resources and improving information flow Drive business excellence through collaboration and analysis Customer Lifetime Value Customer lifetime value framework and customer segmentation analysis Determine the present value of the future profit from a customer to enhance forecasting capabilities Create a customer-centric orientation to marketing and management of customers Create better customer portfolio evaluation metrics to better allocate use of marketing dollars Closing Address Advanced Analytics For All Bringing simplicity, ubiquity, and actionability to analytics, without sacrificing statistical rigor, to empower all levels of the workforce 2:15pm Utilize analytics that support the most critical dimensions of your company s strategy Framework for defining strategic goals then aligning analytics effectively and appropriately to help meet those goals Identify the obstacles to developing an analytics roadmap throughout organizational functions Understand the value of leadership buy-in and analytics champions Transform marketing and growth strategy from intuition-drive to analytics-driven

9 NETWORKING Accuray Actelion Pharmaceuticals Adobe Systems Affymetrix AGCO Alere Allstate American Superconductor Amway Amica Mutual AppliedMicro Circuits Appro Array Not only do attendees come to BioPharma Audi Atmel AutoTrader.com Bank of the West BASF Beekley Blessing Health learn Bose innovative Corporation skills Briggs and International best Cadence Carlson Cedar Sinai Celanese Corporation practices in Centura product Health management, Cepheid Charles Schwab Chik-Fil-A Chipotle Chiquita marketing Cisco Citrix and CNN innovation, Comcast they ConAgra also Copa Airlines Cox Dean Foods Diebold Dolby Dominoes Electonic Arts ebay EJ Gallo Emerson England Logistics Eon US come to meet with peers from Ericsson ESPN Exelon Corporation Expedia F5 Facebook FedEx Ferring Pharma Fifth Third different Bank FL industries Smidth Flour across Foot the Locker FW Murphy Gap Inc. Genentech Gilead Grant nation. Thornton Keeping LLP JCI this JDS in Uniphase mind, JP Morgan Juniper Genworth Hamilton Beach Brands, attendees Inc. Hardies are given Harvard a chance Clinical to Research Institute InterContinental Hotels Group IMClone Infinity Pharmaceuticals Ingram Micro Intuit Jabil Circuit JCI JDS Uniphase Johnson network with colleagues from an This event s intimate setting and Matthey JP Morgan Juniper Keurig Kaiser Permanente KLA-Tencore Lam Research Lancer array Corp of backgrounds Land O Lakes and vendor-neutral environment Levi's Lexis Nexis Liberty Mutual Group Life Technologies McDean disciplines. Maxwell This Technologies event is Maxygen, a allows for low-pressure Inc. Macys.com Mercedes-Benz USA MGM Resorts fantastic Micron opportunity Technology to Microsoft forge Corporation Mutual networking of Omaha and Nestle includes NetApp a Nike Nissan Omnicell, Inc. Papa Murphy s Intl. PayPal Popeyes Louisiana Kitchen lasting business relationships number of valuable networking Procter & Gamble RCI Rent-A-Center Research In Motion Roche SanDisk Sara Lee opportunities over the course of Scottrade Sephora Stryker Symantec Tibco URS USAA Visa Inc Vonage two days, including a cocktail WellPoint, Inc. Wells Fargo Turner Sports Sony Playstation Sigma-Aldrich Qwest HighMark Inc InComm Netsuite Parker Hannifin reception, SunTrust Bank multiple UTi networking Blue Cross GenProbe Lockheed Martin Ventura Foods Syncapse breaks, breakfasts, Assurant Solutions lunches Abbott and a Laboratories Certiport Camden JDSU Robert Half International Pamlab Harley networking reception. Davidson Safeway Onvia Bally Tech Planview Manheim McDonald s Trulia Yammer Sonos Autodesk National Life Group GE Hewlett Packard Polycom Phillips Turner NFL LinkedIn Square Google Samsung Motorola Apple Intel Fiserve

10 Area San Francisco International Airport Located near San Francisco International Airport, our venue provides excellent access to Bay Area transportation as well as all the city has to offer. Gateway Management has on-the-ground knowledge of the area s best restaurants, hotels and shows to maximize your experience outside the Summit. Hotel and Accommodation Facilities Our venue s excellent location offers easy access to the entire San Francisco Bay Area. We have scouted locations throughout the region and find that the Westin San Francisco Airport offers excellent accommodations, an unrivaled meeting environment and tremendous value. Travel This event is best accessed by-way-of San Francisco International Airport. A complimentary hotel shuttle leaves every 20 minutes from SFO, directly to the event location. Oakland International Airport offers another convenient traveling option for our non-local guests and can be accessed by BART trains or taxi cabs. Venue Weston SFO Westin SFO 1 Old Bayshore Highway Millbrae, CA Room Rate TBA Reservations: Mention the Gateway Management room block to the customer service agent to receive this exclusive reduced rate. Online Hotel Reservations:

11 REGISTRATION Attendee Information Attendee Name Title Additional Attendee Name Title Additional Attendee Name Title Payment Information Check/Purchase Order Organization Phone Number Credit Card REGISTRATION FEES O Early Registration $1599 Includes Monday & Tuesday event plus networking reception O Standard Registration $1799 Includes Monday & Tuesday event plus networking reception O Two Attendee Rate $2999 Includes Monday & Tuesday event plus networking reception O Three Attendee Rate $3999 Includes Monday & Tuesday event plus networking reception O Four Attendee Rate $4999 Includes Monday & Tuesday event plus networking reception Name on Card Card Number Expiration Date Billing Address CV2 (card verification number) For additional information and group discounts, please contact: Alex Smith asmith@gmi-solutions.com City/State/Zip Pay By Check: Checks should be made payable to Gateway Management. The mailing address for checks and tax forms is: Gateway Management 2625 Alcatraz Avenue, #341, Berkeley, CA Cancellation/Rescheduling Policy: All cancellations made four weeks or longer from the summit s start date will be provided a full refund or credit toward current or future Gateway Management programs. Any cancellations made within four weeks of the programs start date will be provided with credit toward current or future Altamont Group programs. Fax: