Challenges of Pre- and Post- Analytics and Panel Discussion on Big Data: a CATA partnered event, register today

Dear Innovation Community executives

CATAAlliance is partnering with the Faculty of Science at Carleton University and the Centre for Quantitative Analysis and Decision Support (CQADS) on the inaugural workshop of the CQADS Workshop Series.

The topic is “Big Data” and we cordially invite you to attend and benefit from best practice insights and networking with peers. See below for background and registration information.

Date & Venue:

Feb.21, 2014 | MacPhail Seminar Room – Herzberg Laboratories (4th floor) | Carleton University 

Workshop Description: 

This workshop is designed for managers, policy makers and consultants who are interested in quantitative 
methods and who would like a better understanding of 

. the impact of various data collection and preparation strategies; 
. how to visualize, interpret and present analytical results and complex data, and 
. the intrinsic limitations of data and easily available pre- and post-analysis mistakes 

This is not a workshop on formulas, computation or particular analytical methods. Mathematical and/or statistical sophistication is not required; participants are encouraged to attend if they wish to grasp the larger and broader “behind-the-scenes” issues that affect consultants’ and analysts’ decisions and results. 

It will be followed by a panel discussion in which several practitioners of qualitative methods will be discussing some of their project experiences and the analytical challenges they have met,in particular, when dealing with “Big Data”. 

Keynote Presentors: 

Dr.Patrick Boily (CQADS) 
Dr.Patrick Farrell (Director of Carleton University’s School of Mathematics and Statistics) 

Registration Information: 

Registration is opened from January 13th to February 18th. 

Fees: 300$ + HST 
Student rates available 

Please send inquiries to or consult 
(after January 13th, 2014) for details). 

Yours truly,

John Reid, CEO, CATAAlliance

Ps interested in Open Data, then take a few minutes to view a recent CATA video:

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