Software Tutorials

Monday, Tracks 5 & 6

9:40am-10:30am – Track 5
INFORMS Analytics Maturity Model
How Mature Are You? Preview the Beta Version of the New INFORMS Analytics Maturity Model
Aaron Burciaga, Accenture Analytics, Senior Manager, Operations Analytics
Nagaraj Reddi, INFORMS Director of Information Technology
When it comes to the way you use analytics, how mature is your organization? How do you compare to others in your industry? INFORMS is debuting the much anticipated model, which you can use to assess your analytics needs, set goals, and obtain guidance from INFORMS. Meet two architects of the model who will walk you through the new website and show how you can gain advantage in all your Big Data projects.

9:40am-10:30am – Track 6
Alpine Data Labs
High Speed Analytics - Quickly Moving from Data to Insights
Corey Garvey, Data Consultant
While new technologies have allowed businesses to collect and store more data than ever before, showing improvements to the product and increasing the bottom line still dictate the long term success of any company. This tutorial will focus on getting answers from data quickly, encouraging users to iterate and optimize models, not wasting time getting them set up initially.

11:10am-12:00pm – Track 5
Forio
Publishing Interactive Data Analytics on The Web
Michael Bean, President
Forio’s web platform makes your model available to hundreds of people within your organization through the browser. We will start with an introduction to the platform and sample interactive online models. Then we’ll divide the workshop into two parts. In the first part we will teach you how to get your analysis on a server so it can be shared. In the second part we’ll focus on creating a user interface for your model.

11:10am-12:00pm – Track 6
SAS
High-performance Data Mining and Big Data Analytics
Jared Dean, Senior Director of Research and Development for Advanced Analytics
In this era of big data, organizations strive to make the best use of information. High-performance data mining and big data analytics drive better, faster decisions based on vast amounts of data. During this tutorial, learn about the evolution of hardware platforms; predictive modeling methods, including statistical and machine learning; and the benefits of segmentation. Through case studies and straightforward examples, you’ll walk away with new ideas on how to implement these methods and technologies.

1:10pm-2:00pm – Track 5
ProbabilityManagement.org
The SIPmath™ Modeler Tools
Sam L. Savage, Executive Director
The Open SIPmath Standard from non-profit ProbabilityManagement.org allows uncertainties to be communicated as big data for driving interactive simulation in native Excel and other environments without add-in software. We will demonstrate the SIPmath Modeler Tools, which facilitate the generation of such models in Excel, and also how to import and export results from @RISK, Crystal Ball, Risk Solver and Matlab to leverage those packages. Visit the SIPmath page of SIPmath.org for videos and example files.

1:10pm-2:00pm – Track 6
Booz Allen Hamilton
Machine Learning on Streaming Data with Storm and MOA
Paul Yacci, Data Scientist
Analysis of streaming data enables real-time actions in applications such as network defense and fraud detection. Storm provides an open source distributed stream processing framework designed to scale to the demands of big data. Storm can be extended to include machine learning by integrating the open source library MOA, which provides machine learning algorithms capable of online learning. This tutorial will introduce concepts to build a scalable, streaming machine learning platform using open source software.

3:00pm-3:50pm – Track 5
Provalis Research
Presentation of Provalis Research Text Analytics Tools
Adam Bendriss Alami, Senior Marketing Manager
In this presentation, Provalis Research will showcase its integrated collection of text analytics software. QDA Miner is an easy to use qualitative and mixed methods software that meets the needs of researchers performing qualitative data analysis and would like to code more quickly and more consistently larger amounts of documents. It offers high level computer assistance for qualitative coding with innovative text search tools that help users speed up the coding process as well as advanced statistical and visualization tools. Users with even bigger text data, can also take advantage of WordStat. This add-on module to QDA Miner can be used to analyze huge amounts of unstructured information, quickly extract themes, find trends over time, and automatically identify patterns and references to specific concepts using categorization dictionaries. 

3:00pm-3:50pm – Track 6
Contact Signapore
Data Analytics Career Opportunities in Singapore
Kelly Tan, Area Director
Interested to find out more about Big Data trends and career opportunities in Singapore? Join us at the session by Contact Singapore where we will cover topics ranging from the latest Big Data developments in Singapore to career opportunities in data analytics and general information on working and living in Singapore. Come find out more!

Tuesday, Tracks 10 &11

9:40am-10:30am – Track 10
FICO
Analytics Tools for the Area of Big Data
Benjamin Baer, Sr. Director, Product Marketing
Get a hands-on look at how to use new innovations in FICO® Model Builder that detect predictive signals from massive and unstructured data for extracting real, actionable insight. Learn how to turn these predictions into optimized decisions with the new robust modeling and optimization capabilities of FICO® Xpress Optimization Suite. Come see how Model Builder and Xpress can help you make better decisions fueled by Big Data.

9:40am-10:30am – Track 11
ThoughtSpot
Google-like BI for the Enterprise
Why can't your business intelligence be as simple as googling the weather? ThoughtSpot aims to address the broken BI model in the enterprise. ThoughtSpot Data Search Appliance is a plug-and-play solution that provides a search-based user experience for business data access and analysis. The ThoughtSpot founding team has experience of building the fastest-growing enterprise tech company of the last decade, Nutanix, and also market-defining search and analytics technologies at companies such as Google, Amazon, Oracle, and Microsoft. Based in Redwood City, CA.

11:10am-12:00pm – Track 10
Frontline Systems, Inc.
Analytic Solver Platform: Integrated Data Mining, Simulation and Optimization in Microsoft Excel
Daniel H. Fylstra, President
Analytic Solver Platform in Microsoft Excel has everything you need for data visualization, forecasting and data mining, Monte Carlo simulation and risk analysis, and conventional and stochastic optimization – where its solving power actually surpasses “enterprise” analytic software costing far more.  See how you can use it to build your own analytic expertise and teach others, leveraging what you already know, build and solve industrial-scale models with the world’s best Solvers, and effectively communicate business results.

1:10pm-2:00pm – Track 10
Enrich Consulting
Finding the Strategy Hidden in Your New Product Portfolio with the Enrich Analytics Platform
Dan Smith, VP of Consulting and Richard Sonnenblick, CEO
The Enrich Analytics Platform helps R&D companies value, communicate, and refine tens of billions of dollars in R&D investments annually. Come see for yourself how easy it can be to build new product forecasts that include critical uncertainties, create and compare what-if scenarios, and judge the strategic value of a portfolio of investments, using the Enrich Analytics Platform. We’ll also introduce a free set of tools available on our web site to build visualizations specially developed to communicate the trade-offs between portfolio value and portfolio balance.

3:00pm-3:50pm – Track 10
Number Analytics LLC
Make a Predictive Analytics Application in 30 Minutes (Breast Cancer Case)
Sungjoon Nam, Assistant Professor, Rutgers University
Based on a simple easy to use software (Number Analytics), the tutorial works shop would present how to make a predictive analytics application in 30 minutes. We will use a sample 100,000 patients' data set to predict the future breast cancer probability. The workshop will show how to generate HTML code so that you can easily implement it in your website and in mobile devices.