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   * Synergies of Designed Data Collection and Big Data
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SYNERGIES OF DESIGNED DATA COLLECTION AND BIG DATA

July

27


JULY 27, 1:00-2:00 CEST | 12:00-1:00 BST

Register Now


SYNERGIES OF DESIGNED DATA COLLECTION AND BIG DATA

The excitement and buzz around big data (BD) has been so prevalent that it seems
BD has become the panacea for all challenges – but there are in fact limitations
to what BD can do, which has led to missed opportunities and suboptimal
problem-solving and decision-making. The intentional strategic use of designed
data collection (DDC) represents an opportunity to elevate how studies involving
BD are planned, executed, and interpreted to deliver more satisfying solutions.

In this Statistically Speaking, Christine Anderson-Cook will offer definitions
of BD and DDC while exploring situations with synergy between the two. Divided
into three segments – before big data, actual big data, and after big data –
this talk will outline eleven opportunities for integrating designed data
collection strategies, including statistical design of experiments and sampling
techniques, with big data at all stages of the study.

Q&A with the speaker will be available at the conclusion of the keynote address.

What you’ll learn


 * Why the connection between designed data collection and big data is
   significant.
 * How to improve the quality of data using strategic planning before acquiring
   big data.
 * Why designed data collection is still relevant in the big data era.
 * Why data management, statistical expertise, engineering problem-solving and
   an analytics translator are relevant keys to success.




FEATURED KEYNOTE SPEAKER




CHRISTINE ANDERSON-COOK

Guest Scientist, Los Alamos National Laboratory

Christine Anderson-Cook is recently retired from working as a Research Scientist
in the Statistical Sciences Group at Los Alamos National Laboratory. She was a
contributor to more than 80 projects while at LANL and has led projects in the
areas of nuclear non-proliferation, sequential design of experiments for carbon
capture, cybersecurity, complex system reliability and using data competitions
to advance algorithms for detecting radioactive materials. Before joining LANL,
she was a faculty member in the statistics department at Virginia Tech. She has
over 240 peer-reviewed publications and her research areas include design of
experiments, response surface methodology, graphical methods, reliability,
multiple criterion optimization, data-centric decision-making, and statistical
engineering.

She is a Fellow of the American Statistics Association and the American Society
for Quality. She has served on the Editorial boards of Technometrics, the
Journal of Quality Technology, Quality and Reliability Engineering
International, Quality Engineering and the Journal of Statistics Education. She
is a long time Statistics Spotlight / Roundtable column contributor in ASQ’s
Quality Progress. She is the 2021 recipient of the ENBIS George Box Medal and
the ASA Quality and Productivity Section Gerald J. Hahn Achievement Award, the
2018 recipient of the ASQ Shewhart Medal and 2012 winner of the ASQ Statistics
Division William G. Hunter Award.


DISCUSSION

After her talk, Christine will join Anne Milley for an extended discussion and
Q&A.

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