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College of Engineering

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March 23, 2017 | 8:00 a.m. - 8:00 p.m. View Recurrence Dates
Category: Special Event
Location: Student Center | Map
5221 Gullen Mall
Detroit, MI 48202
Cost: Varies
Audience: Alumni, Community, Current Graduate Students, Current Undergraduate Students, Faculty, Prospective Students, Staff

March 23: Day 1 – Symposium (9:00 a.m. - 7:00 p.m.)
and March 24: Day 2 – Symposium (8:30 a.m. - 6:30 p.m.)

This symposium will focus on pragmatic issues faced while deploying Big Data tools, technologies, and strategies to drive business success. It will have special focus on managing and analyzing the data captured through marketing, product development, manufacturing, distribution, sales, and service in a global setting.

Symposium attendees will gain keen insights and learn tips on identifying Big Data opportunities, developing business cases, and using analytics to drive business success. The symposium also seeks to provide a clear distinction between legacy analytics that are pervasive in industry and the emerging next generation tools, technologies, and processes that will form the foundation for a new wave of innovation and growth.

Join us as we hear from leading experts who are Doing It Right and charting out new courses of competitive advantages and growth for their companies.

EVENT SCHEDULE

March 23 Tutorials (9:00 a.m. - 3:00 p.m.) 
8:00 - 6:30 p.m. Registration 

[CHOOSE ONE TO ATTEND IN EACH OF THE TWO BLOCKS]

Morning Tutorials (9:00 - 11:45 a.m.):

  • Tutorial 1: Big Data Processing with HPCC Systems – Less Work with Less Code – Attendees will be given an overview of an open source Big Data processing system (HPCC Systems) and will experience hands-on use of ECL’s natural language parsing techniques on an HPCC Systems® cluster to extract entities from both semi-structured and free-form text data. The code elements and massively parallel processing principles involved in accomplishing these tasks will be thoroughly discussed.
     
  • Tutorial 2: Modernizing Enterprise Analytics with Tableau – At Tableau we help people see and understand data. We are all about making data analytics fast, easy, beautiful, and most importantly – useful. Helping people gain insight into their data to solve unexpected problems is what drives us.  During this hands-on course designed for the Big Data & Business Analytics Symposium, we will introduce you to Tableau and show you why we are different from other business intelligence solutions. As an attendee, you will leave this session able to connect to & explore your data and understand how to garner greater insight by visualizing your data. This class is a hands-on session; you will need to provide your own laptop that is able to connect to a wireless network provided. A link with instructions to download a 30-Day Trial of Tableau Desktop will be provided one week prior to the workshop.

Afternoon Tutorials (1:00 - 3:00 p.m.):

  • Tutorial 3: Make Data Simple: IBM Watson Data Platform & Data Science Experience – Watson Data Platform enables data-driven professionals to work together in a simpler way to quickly find new and unexpected insights that deliver business-changing results. The integrated Watson Data Platform features embedded, cognitive-assisted machine learning. It provides user-specific tools and data and analytic services on the IBM Cloud. Data Science Experience: Solve your toughest data challenges with the best tools and the latest expertise in a social environment built by data scientists
     
  • Tutorial 4: Right Brain Networks - Developing a Successful Cloud Strategy – In this workshop, we consider the essential elements of an effective cloud strategy -- looking at economics, agility, and the role of public cloud platforms in an overall enterprise IT strategy. This will include application portfolio assessment, how to get started with the Cloud, and how to maximize the value from your cloud initiatives.


March 24 Symposium (9:00 a.m. - 6:00 p.m.)
Symposium and Networking Reception
Visit the symposium website for full program details.

Registration: Early bird registration closes on March 5, 2017.  If you need to register for more than one person at a time, contact the WSU Office of Special Events and Services at (313) 577-0300.  The registration fee schedule is as follows: 

Registration Options

Conference Fee

Early Bird Rate
(on or before 03/05/17)

Regular Rates
(starting 03/06/17)

Both Days
March 23rd & 24th

$275

$325

First Day Only
March 23rd

$125

$175

Second Day Only
March 24th

$175

$225

Student Rate* 
Both Days

$80

$80

Student Rate* 
Frist Day Only

$40

$40

Student Rate* 
Second Day Only

$40

$40

Visit the Big Data & Business Analytics Group website for more information. 

Cancellation/Refund Policy

  • Cancellation requests received before February 28, 2017 will receive full refund. 
  • Cancellation requests received between March 1 – March 15, 2017 will receive 50% refund.
  • We will not entertain any cancellation requests after March 15, 2017. 

Big Data & Business Analytics Registration Policies

For more information about this event, please contact Mark Garrison at (313) 577-5683 or mark.garrison@wayne.edu.