Analytics Live! Draft agenda as of November 20, :00 AM 10:45 AM BEST IN SHOW: SETTING YOUR ORGANIZATION UP FOR SUCCESS USING ANALYTICS

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1 WEDNESDAY, May 11, 2016 Analytics Live! Draft agenda as of November 20, :00 AM 10:45 AM BEST IN SHOW: SETTING YOUR ORGANIZATION UP FOR SUCCESS USING ANALYTICS 9:00 AM 9:05 AM Welcome from Conference Chairperson 9:05 AM 9:30 AM KEYNOTE: Riding the wave of big data: Building blocks for overcoming short term challenges to achieve long-term goals Reviewing advancements in big data analytics for critical business applications including market analysis, personalized customer service journeys, network and service intelligence, and real-time fraud detection Demonstrating big data ROI and securing commitment from management by showing improved financial and operational outcomes and decision management processes Obtaining actionable intelligence that will result in increased business value in both traditional service markets and in new markets as enablers of the digital ecosystem 9:30 AM 9:55 AM KEYNOTE: Business and IT: Collaboration for big data analytics success Developing a business-driven strategy with management support to extract maximum business value from relevant internally and externally generated data Integrating big data technology with existing business intelligence infrastructure to provide actionable intelligence Reducing complexity, improving data management and implementing more rational, data-driven decision-making processes Investing in quality people and processes to improve the overall skills of data interpretation 9: 55 AM 10:20 AM KEYNOTE: Attaining data democratization: Effectively sharing and opening data across the digital ecosystem Decentralizing decision-making to increase responsiveness and empower users by putting meaningful data at their fingertips Sufficiently scale analytics capabilities to handle the increasing volume of datarelated questions coming from internal users

2 Developing a multi-tiered approach so users can drill into various areas to obtain incremental insights based on their needs and analytical skills Providing self-service and ample training of analytic tools to prevent flawed interpretations and bad decisions based on the data 10:20 AM 10:45 AM KEYNOTE: Data Monetization: The Next Great Gold Rush? Identifying the opportunities and potential areas where your data can provide insights Maintaining consumer trust by allowing customers to opt-in to have their data shared in return for receiving something of value in return Enhancing the data-sharing partnerships through analytics, segmentation, targeting, and other services Establishing sustainable and mutually beneficial partnerships to develop a data ecosystem infrastructure with the right analytical engines and tools 10:45 AM 11:15 am Morning Refreshments & Exhibition Visit 11:15 AM 12:45 PM FROM DATA TO INSIGHT: FINDING THE VALUE WITH THE RIGHT TOOLS, METHODOLOGIES AND BEST PRACTICES 11:15 AM 11:45 AM FORUM INFOCUS: Making the journey from data to insights Identifying the opportunities and potential areas where your data can provide insights that lead to impactful actions Incorporating a variety of data sources for Action-oriented, analytic-driven solutions Reviewing information from the latest release and updates from TM Forum s Big Data Analytics Use Cases, Repository and Data Dictionary 11:45 AM 12:10 PM CASE STUDY: Enhancing networks and improving agility through analytics Enabling real-time response to service and network anomalies such as outages, performance dips, constrained capacity and network threats Supporting the effective management of customers devices and performance of over-the-top applications Exploiting network data insights for real-time customer support, managing personalized offers, retention and churn, fraud, security and promotional campaigns 12:10 PM 12:35 PM CASE STUDY: Show me the money: The monetization of big data

3 Understanding how to use insight from Big Data to ensure competitive differentiation in your marketplace Identifying the value of the data you collect and learning how to prioritize it accordingly Establishing how to present customer insight collected and transform it into an easy to use marketable format Combining transactional and behavioral data for more cohesive insight 12:35 PM 12:45 PM Catalyst Catwalk Tour of related catalyst demos 12:45 PM 2:00 PM Networking Lunch & Exhibition Visit 2:00 PM 3:30 PM FROM INSIGHT TO ACTION: ENABLING SMARTER DECISION MAKING THROUGH ANALYTICS 2:00 PM 2:20 PM CASE STUDY: Big Data meets the Internet of Everything: Expanding the benefits of analytics in a connected world Establishing cross-industry collaboration to deliver maximum value from IoE data Efficiently storing and analyzing huge amounts of real-world information in real and near-real time Overcoming siloed mentalities to collect information and provide powerful insights about current conditions across all responsibility areas (power, water, transit, buildings, etc.). Providing information across multiple sources, to optimize operations and to predict what might happen next 2:20 PM 3:30 PM BLITZ PANEL: Transforming data into action for maximum ROI 10 minute presentations from each panelist, followed by a chaired audienceinvolved panel discussion Establishing an analytics ecosystems that fosters cross-functional collaboration for actionable outcomes that can include optimizing network or service performance, personalization, predicative analytics, and fraud detection Implementing the next generation of mobile workforce management systems, sophisticated data gathering and analytical capabilities to improve field service performance Leveraging information technology and advanced analytics for a competitive advantage and improved decision making Improving business outcomes and impacting your bottom line by automating actions based on insights from analytics

4 Building confidence for decision-makers, reducing time to market for new offers and improving response time to resolution for customers problems 3:30 PM 4:00 PM Afternoon Refreshments & Exhibition Visit 4:00 PM 5:30 PM CONQUERING THE TOUGH PROBLEMS: SECURITY, PRIVACY & DATA QUALITY 4:00 PM 4:30 PM CASE STUDY: Bad data is worse than no data: Ensuring data integrity to lower risk and increase value Developing a well-defined data governance strategy to improve the quality of the data Improving data integrity by addressing noncompliant legacy systems, free-format external data, fragmented transaction systems and inconsistent metadata Enhancing, monitoring and measuring of the quality of the data by establishing appropriate oversight key players, people, processes, systems and tools for quality improvement 4:30 PM 5:00 PM CASE STUDY: Defending your data: Securing against internal and external threats Addressing vulnerabilities and how can various partners in the ecosystem must work together to secure data and maintain trust Identifying where sensitive data resides and setting policies to systematically and consistently classifying data to put controls in place to ensure that all categories of data are handled appropriately Minimize the human dimension threat of security to develop the right governance from the onset and determining how to manage conflict of interest with partners in a clear and specific manner Developing the right data governance from the onset and determining how to manage conflict of interest in a clear and specific manner 5:00 PM 5:30 PM PANEL DEBATE: Privacy & Analytics: Friend or Foe? Creating a Big Data competence team to promote transparency and ensure the exchange of knowledge and information among relevant units to support the positioning within the company Developing a dashboard that allows customers to create standardized privacy profiles to control how their data is used Proving simplified explanations of privacy setting choices to the customers to make informed decisions

5 Defining what you will and won t do with customer data to ensure that the model is transparent and adds value Incorporating ever increasing and changing regulation into your overall data analytics strategic program