Business Discussion, business and finance homework help

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ANY WORK THAT CONTAINS PLAGIARISM WILL RESULT IN IMMEDIATE WITHDRAW. MY SCHOOL USE TURNITIN.

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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.

  1. 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.
  2. 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/


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