Agenda

Day OneDay Two

Text & Social Analytics Day 1: June 5

9:00 - 9:30 - Plenary: Conference Chairs Welcome Keynote Address:

IBM, Advanced Analytics, Customer Influences and Profit Optimization, Steve Pinchuk

Text Analytics 2013: Technology and Trends

"Unstructured" data is pervasive -- online, in social media, in the enterprise - which made 2012 a very good year for text analytics. We saw strong advances in technologies, applications, and business uptake, internationally and for a range of industries and business and personal applications. The text-analytics growth trend is only accelerating. Text Analytics Summit Chair Seth Grimes will tell you how, with an exclusive mid-year update that will guide you in staying on the business and technology leading edge.

Alta Plana, President & Principal Consultant, Seth Grimes

9:30 - 10:15 Plenary: The next competitive frontier: Use advanced data analytics to create a customer focused strategy

Customers want to be recognized as individuals. It's time to leverage the information we know about our customers to build lifetime one to one relationships with them. It's time to accept our customers have long term value.

• Integrate traditional customer data management systems with new data technologies for a more personalized customer strategy
• Understand your own metrics for success: Specify deliverables and keep a consistent vision to assure your goals are attained
• Be in the know with new data and analytic trends that can improve forecasting, business intelligence, user experience, messaging, engagement, support and more
• Learn to turn unstructured data into actionable insights through the latest advancements in sentiment analysis and semantic enrichment
• Listen to your data: Understand how data is a reflection of how your customers view your organization
• Find out which customer data and analytics technologies global brands are using to drive profitable one to one relationships with their customers

eBay, Global Analytics Leader, Sudha Jamthe
eBay, Director of Analytics, Caleb Lavergne

10:15 - 10:45 Big VoC Data! Integrate VoC analytics into your big data strategy to improve customer experience

• Evaluate how Voice of the Customer (VoC) fits into the Big Data picture
• Drive business performance by unifying multiple VoC sources
• Understand how to address the social media chaos
• Hear case studies demonstrating the ROI achieved from Big VoC Data projects
• Learn the various ways to improve the customer experience with VoC analytics paired with the value of big data
• The most important element - taking action!

Vision Critical, Vice President for Text Analytics, Stuart Shulman

COFFEE BREAK 10:45 - 11:10

11:10 - 11:40 Business applications of text analytics: present and future best practices

Steady progress in the fields of linguistic, semantic and statistical analysis of text facilitates the development of a growing number of domain specific solutions employing text analytics to address important business challenges. Leading organizations demonstrate success in deploying such solutions, but text analytics as a whole remains in its infancy yet with many promising applications still being overlooked. We outline the use of text mining to:

• Understand the key business objective and required text analysis techniques for e-Discovery, Electronic Medical Records Analysis, Medical Literature Analysis, Insurance Claims Analysis, and Customer Communications Management and Social Media Analysis
• Learn implementation scenarios and several obtained results from successful text analytics applications
• Avoid the potential pitfalls and benefit from the best in practice to generate a much more efficient text analytics strategy for your business

Megaputer, CEO¸Sergei Ananyan

11:40 -12:10 Case Study: Using Text Analytics in a non-traditional matter to monitor quality

• Find out how Pershing is using text analytics in an innovative, non-traditional approach to create a Scorecard System to monitor and improve online communications with their customers.
• Learn how case management tools can alert product management of customer dissatisfaction, expedite potential product changes, and better understand the overall customer picture

Pershing, Vice President Quality Management Office, Tim Keough

12:10 - 12:35 Integrate unstructured data within a relational database: Learn the feasibility, prototyping, value added, and the goals

• Understand how much data you have and the architecture necessary to leverage existing technology that goes along with your existing relational structure
• Learn the tricks of sentiment analysis to determine propensity to churn
• Identify the top 10 pain points to better organize your help desk
• A best in practice discussion of statistic techniques, clustering, and association

Emblem Health, Data Architect, Ralph Winters

Lunch: 12:35 - 2:00

2:00 - 2:25 Unified Information Access: using text analytics to integrate structured and unstructured data for deeper insights

Unified information access platforms provide a single point of access to information from multiple heterogeneous sources of information. In the enterprise, listening platforms, churn prevention applications, fraud identification, and government intelligence are all built on approaches using unified information access and big data techniques. The challenge though is extracting people, places, dates, facts, sentiment and the relationships between them from unstructured data and linking this to structured data in a meaningful fashion.

• Understand why text analytics is the "linchpin" technology that makes unified information access possible
• Find out how insights derived from text analytics can be used to enrich structured information and provide a more complete and authoritative perspective
• Evaluate how text analytics and deep NLP can be used to create knowledge bases for predictive modelling
• Use cases: hear where unified information access has been successfully applied for business benefit

IDC, Research Director, Search and Content Analytics, Dave Schubmehl

2:25 - 2:50 Case Study: Fusing disparate sources of data to gain a more complete understanding of patient health risks and care needs

One of the keys to improving a hospital's financial success and providing high quality patient care is to link disparate care data to create the most comprehensive picture of the patient as possible. This session will focus on the importance of capturing, processing, and intelligently leveraging the right amount and source of clinical data, and why this is critical to the hospital organization's performance in ensuring high value across revenue, compliance, and quality.

• Learn the value provided by discrete, textualized discrete, or narrative text data and enhance the overall picture of your patient/customer
• Learn which applied methods will garner the most insights from the data
• Ensure the presentation of the information is easily consumable and provides immediate impact for both the health of the patient and the health of the hospital

The Advisory Board Company, Data Scientist, Anne-Marie Currie, Ph.D.

2:50-3:15 Research Frontiers: Tomorrow's text analytics today

• Understand why text analytics needs to go beyond the written word: How to perform text analytics if you have a blinder to other modalities like images, videos and geography
• Connect language with geography: Learn models that associate words to locations on the Earth
• Hear the latest in label propagation: How to spread a label through a graph of text or a node that represents a certain consumer
• Learn the role of unlabeled data and semi-supervised learning algorithms, such as label propagation, in improving performance for text analytics applications

The University of Texas, Austin/People Pattern (Co-founder), Associate Professor of Computational Linguistics, Jason Baldridge,

3:15-3:40 Improved Literature Searches: Scoring, annotating, and hyper-linking documents to get their eyes on the prize ... faster

Researchers often feel like they are missing key papers in their fields. This session will help you:

• Facilitate read/no-read decision making by matching researchers with the right papers
• Allow easy drill down to the right section
• Understand the bigger picture by extracting statistics on groups of papers

US Army, Chief Knowledge Officer, Richard Detsch PhD
Los Alamos National Laboratory, R&D Manager, Shelly Spearing

Coffee 3:40 - 4:00

4:00-4:30 Text mining fundamentals for business analytics

• Learn the key ways to obtain structured information from unstructured text
• Understand how to assess the fit for purpose of text mining solutions
• The best methods to perform text mining without having to pay software licenses
• Find the actionable information needed, from gigabytes of thousands of files
• Solve your needs using several “templates” that are the keys to a successful business analytics practice

Merck KGaA, Principal Data Scientist, Luca Toldo, PhD

PLENARY 4:30 - 5:00 Benefits of text analytics for consumer understanding

• Aid to market segmentation: Isolate vocabulary and differences in vocabulary among segments
• An in-depth look into the interrelationships of segmentation and preference through the use of Text Analytics
• Use Text Analytics methods to look at laddering - a qualitative market research technique that draws out people who move/transition from a perceived need to a certain product

Decker Analytic Insight, Quantitative Data Scientist, Jim Decker

PLENARY 5:00 - 5:30 Selecting and using the right tools for the right job

While there is great value locked deep in companies’ textual assets, mining this information can be both time consuming and expensive. These costs often serve as a barrier to entry, preventing companies from discovering the business value buried in their text. Fortunately, there are tools available which can help you begin to transform this unstructured data into actionable intelligence with relatively little out of pocket expense. Through case study examples, this session will explore technologies which can be used to tackle many typical text mining problems, help you discover the possibilities buried in your text and boost that business case.

• One size does not fit all: why having the right strategy for the right job is imperative for success
• Learn how to find the right vendor for your particular needs
• Managing expectations across the organization

Iso, Analytics Director, Janine Johnson

Networking Drinks 5:30 - 7:00

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Day 2: June 6

Plenary: 9:00 - 9:40 Big Data is not about the data

The big data revolution has made possible whole industries and remade many existing firms.  In this talk, Gary King explains that, surprisingly, the value in this revolution is not in the data: Data is becoming easy to access, commoditized, and nearly free.  Instead, the value is in novel data analytics, more powerful statistical techniques, and customized methodologies tuned to specific problems.  What is changing the world is the understanding that off-the-shelf methods are not sufficient and the increasing ability to create new ones for the tasks at hand.  The talk includes many engaging examples, including those he helped develop.

Harvard University,  Albert J. Weatherhead III University Professor, & Director IQSS, Gary King

Plenary: 9:40 - 10:00 Part 1: Create one integrated data source so your business can make real-time decisions

• Move your data to a warehouse and leverage business intelligence tools to enhance analytics and personalize interactions in real-time
• Learn how to package and present data in a meaningful way and implement your data findings across multiple departments
• Understand how to make big data comprehensive for first responders
• The power of one: Create one integrated data source to increase speed, integrate with your existing CRM and deliver a more personalized customer experience

ClearChannel, EVP Analytics, Radha Subramayan
IBM, Advanced Analytics, Customer Influences and Profit Optimization, Steve Pinchuk

Plenary: 10:00-10:25 Part 2: The advantages one integrated data source has on your customer engagement strategy

• Incorporate customer data into your core operations: Learn to share data across all divisions in the organization where engagement is relevant: Customer Service, marketing, sales and social
• Learn to use data to better prioritize: Identify critical customer engagement that adds value to your brand
• Understand how to enable customers to engage and purchase your products through rich analytics, benchmarking and insights.
• Use a single data source to create more efficient, customized outreach which will lead to an increase in customer satisfaction

Bloomberg, Market Research, Miguel Ares

Plenary: 10:25 - 10:55 Case Study: Advent of Customer Analytics to the Modern Marketing Department.

• Why Customer Analytics, Why Now? The perfect storm of the Age of Customer, Big Data, and Social Media
• 360° Customer View Integrate disparate data silos to attain one unified customer database
• Get the Right Offer in Front of the Customer at the Right Time - Optimizing Marketing ROI, Making Dollars and Cents with Offer Personalization

Sears Canada, Senior Analyst Customer Analytics, Jenson Lee

COFFEE: 10:55 - 11:15

11:15 - 11:45 Text Analytics in Action: Applications in electronic discovery, document and contract review, FCPA investigations and fraud detection

Conceptually, it is easy to see how text analytics can provide insights into your data. Practically, it takes a great deal of understanding to identify how various text analytics techniques can truly be put into action. Here, we look at how text analytics can help your organization in the areas of electronic discovery, document and contract review, FCPA investigations and fraud detection. In doing so, we’ll examine techniques such as Document categorization, Document clustering, Near-duplicate document detection, Similar string matching, Similar paragraph search, Fuzzy keyword search, and Pattern-based search.

Deloitte Financial Advisory Services LLP, Senior Manager, Ali Hadjarian, Ph.D.

11:45 - 12:15 Align text and social media analytics with your business goals

• Learn why many text and social media analytics programs flop, and how to be sure yours won't
• Understand how to align your analytics with your goals
• Hear why Big Data doesn't always equal best data, and what to look for in a data source
• Best practice tips on how to minimize risk and demonstrate value early and often

Meta Brown, Text Analytics Speaker, Consultant

LUNCH: 12:15 - 1:30

1:30 - 1:55: Plenary: Technology Panel: Learn the latest in what text and customer analytics technologies have to offer

• Maximize the value of data and proprietary intelligence using cutting edge tools and products that fit well within your organizations strategy and budget
• Better understand the ways researcher can leverage their own market expertise and get beyond just traditional text based analysis
• The next generation of content intelligence

QSR International, General Manager, Rob Calcagni
SAS Inc., Global Product Marketing Manager, Fiona McNeill

Plenary: 1:55 - 2:20 PANEL: Mining and analyzing social data - Create an effective social analytics strategy

• Invest enough time and resources to get profitable intelligence from social media analytics
• Identify the best opportunities for success in social media analytics
• Understand how to integrate social data into your overall analytics strategy
• Find out what to look out for when measuring the effectiveness of your social analytics strategy
• Know your goals. Get the answers you need from your social data
• Is social analytics useful for all? Understand the limitations of social data insights
• Legal and technological implications of mining social media data

Anderson Analytics, Founder and Managing Partner, Tom Anderson
Synthexis, LLC, CEO, Sue Feldman
Converseon, CEO, Rob Key

Plenary 2:20 - 2:50 Overcome challenges in mining social media by leveraging Big VoC data

• Learn the key challenges with mining social media
• Understand how to leverage comparison analysis with a social SWOT model
• What is Big VoC data and how can it help with an effective social media strategy

Verint, VP Customer Interaction Analytics, Daniel Ziv

Plenary: 2:50 - 3:20 CPG Case Study: Mining your web analytics data for social media insights

• Discover how website data can be used to measure effectiveness of your social media strategy
• Learn how to determine which online influencers are driving the most traffic to your website
• Leverage social data to map trends and glean insights to optimize website strategy and user experience
• Learn best practices for integrating social media into overall web strategy

Amy Gershkoff, Ph.D., Global Director of Analytics, Burson-Marsteller, and Chief Data Scientist, WPP, Data Alliance

Plenary: 3:20 - 3:50 Social Graph Analytics: Text Analytics Approaches for Affinity Applications

Organizations are attempting to leverage social media and social connections through LinkedIn profile data, and Facebook affinities. Other social application network attributes to develop tools and applications to discover hidden relationships or desirable connections for ecommerce, networking, talent development, career planning, search enhancement, content curation, expertise location and even knowledge management applications. The core to any of these systems is the same - describe attributes, normalize the data, develop matching engines, run clustering algorithms and execute queries across large data sets.

• What “Bayesian” means for pattern discovery
• Black box algorithms - learn to make sense of inputs and outputs
• Know the best applications for affinity based discovery
• Best practice for placing social networks in your unstructured data strategy
• Learn the best in practice for building an attribute model

Earley & Associates, CEO, Seth Earley

Plenary: 3:50 - 4:15 Case Study: Gleaning accurate information from Twitter data

Much of the information posted on Twitter is difficult to discern meaning from, due to the short length of the tweet, the abbreviations used, and the constraint of only receiving a small portion of the Twitter stream (1-10%). While researchers only read a small percentage of tweets, the volume returned is still staggering. Some researchers have approached the "mining" of this Twitter data using a variety of qualitative and quantitative methods.

• Identify the unique approaches of parsing Twitter data to improve accuracy, using modified clustering and categorization techniques
• Learn how to use open source tools to mine Twitter, and learn the best techniques for collecting, parsing and analyzing tweets
• Understand what decisions are required to be made during this process that impact both analysis and data understanding

Toluna, VP Product Marketing, Carol Haney

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