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Unit 1 Discussion

This
Discussion is based on the article “Big Data, Analytics and the Path
from Insight to Value” by LaValle, Lesser, Shockley, et al. fromMIT-Sloan Management Review. Make sure to read this article before starting the Discussion. See the Syllabus for details on how to obtain the article.
This
week, you will look at a survey on how leading organizations are using
statistics and you will compare the findings to your experience with
respect to your own organization.
Most
companies that are evolving tend to use intuition rather than analytics
in their decisions. Looking at the 11 categories listed in the first
chart (p. 23) titled “Analytics Trumps Intuition,” select three and
comment on which side your organization is on (clearly label as
“Analytics” or “Intuition”). For each of these categories, give an
example in which the decision makers use intuition or analytics.Looking
at the 11 categories listed in the chart on page 25 titled “Impediments
to Becoming More Data Driven,” select three obstacles that you think
are preventing a focus on analytics in your company. For each, explain
the issue. For example, if you selected “concerns with data,” you would
describe what those concerns are. How does this obstacle manifest itself
and impact you in your work? Finally, make recommendations to overcome
the obstacle you identified.
In
your replies to fellow classmates, look for similarities to your
organization. If you have experienced similar issues, comment on how
your organization handled the situation.
Please
use the template below in your answers, so everyone can easily follow
your answers to all the questions (copy and paste to your post).
Use this template for your Unit 1 Discussion
Question 1: Analytics or intuition
Category 1: (title)
(description with example)
Category 2: (title)
(description with example)
Category 3: (title)
(description with example)
Question 2: Obstacles to analytics
Obstacle 1: (title)
(explanation)
(recommendation)
Obstacle 2: (title)
(explanation)
(recommendation)
Obstacle 3: (title)
(explanation)
(recommendation)
Article: http://sloanreview.mit.edu/article/big-data-analytics-and-the-path-from-insights-to-value/