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Overview
  • How are reviewers describing this item?
    great, good, easy, through and right.
  • Our engine has profiled the reviewer patterns and has determined that there may be deception involved.
  • Our engine has determined that the review content quality is low.
  • Our engine has analyzed and discovered that 68.6% of the reviews are reliable.
  • This product had a total of 35 reviews as of our last analysis date on Oct 7 2019.
Details

BETA

This feature is in BETA, meaning the algorithms used to provide these results are constantly improving. These results might change.

Most positive reviewquestion

very useful for leaders who have no related background with analytic.

Least positive reviewquestion

Not enough review data to provide meaningful insight.

Most authentic reviewquestion

Provides a great framework for harnessing data and using it to make more insightful business decisions. I’ll refer back to this...  Read More

Least authentic reviewquestion

very useful for leaders who have no related background with analytic.


Helpful Insights

BETA

This feature is in BETA, meaning the algorithms used to provide these results are constantly improving. These results might change.

    Posted by a reviewer on Amazon

    Instead of searching meaning in ocean of data it says start with objective in mind first and then start your work.


    Posted by a reviewer on Amazon

    Another point i fully agree that to perform analytics (60 to 70%) you do not really require a sophisticated software tools.


    Posted by a reviewer on Amazon

    It all comes to cost-benefit analysis and roi on sophisticated software.


    Posted by a reviewer on Amazon

    First understand what are you really trying to achieve or extract from data.


    Posted by a reviewer on Amazon

    Then think how you will extract that meaning using different software tools.


    Posted by a reviewer on Amazon

    Do not fall prey to various vendors praising about the capability of their software tools.


    Posted by a reviewer on Amazon

    Today there is a tremendous demand for everything data science, companies need data scientists, it resources are refocusing themselves to be the data scientists.

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