Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics...
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From James Taylor
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Top products in Information Management with authentic reviews:
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Most Trusted Reviews
TRUST
- Verified Purchaser
- Take-Back Reviewer (1 deleted Review; avg. rating: 3.0)
- Easy Grader (avg. rating: 4.6)
Least Trusted Reviews
TRUST
- Unverified Purchaser
- One-Hit Wonder
- Never-Verified Reviewer
- Overrepresented Participation (posted 1 Review)
- Easy Grader (avg. rating: 5.0)
Analysis Details
One-Hit Wonders
3 of the 22 reviewers have only reviewed this product. While this is more One-Hit Wonders than we'd expect to see, the discrepancy in ratings between the One-Hit Wonders and reviewers who have posted more than one review isn't significant enough to rule out the possibility of it being due to random chance.
Never-Verified Reviewers
5 of the 22 reviewers have never written a verified purchase review. While this is more Never-Verified Reviewers than we'd expect to see, the discrepancy in ratings between the Never-Verified Reviewers and reviewers who have written at least one verified purchase review isn't significant enough to rule out the possibility of it being due to random chance.
Take-Back Reviewers
2 of the 22 reviewers have had at least one of their past reviews for another product deleted. While this is more Take-Back Reviewers than we'd expect to see, the discrepancy in ratings between the Take-Back Reviewers and reviewers who don't have any deleted reviews in their history isn't significant enough to rule out the possibility of it being due to random chance.
Single-Day Reviewers
10 of the 22 reviewers have written multiple reviews but posted all of them on a single day. This is an excessively large percentage of Single-Day Reviewers which may indicate unnatural reviews.
4.6 Product's Average Ease Score
4.3 Category's Average Ease Score
Read more about our Reviewer Ease test.
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- 64%
- From reviewers with an overrepresented participation
We see the following 1 participation group with a statistically significant greater concentration than what we'd expect to see:In total, we found that 14 reviewers (or 64%) are within an overrepresented participation group. This is an excessively high number of reviewers in overrepresented participation groups.
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- 0%
- Created on high-volume days
Read more about our Rating Trend test.
8 of the 22 total reviews for this product are unverified purchases. This is within an acceptable range and it does not appear to be significantly affecting the overall rating for this product.
Unverified purchases may be the result of Kindle Unlimited readers, buyers who didn't pay full price, or reviewers who did not purchase the product at Amazon. Read more about our Unverified Purchases test.
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- 0%
- Have an overrepresented word count
Read more about our Word Count Comparison test.
2 of the 22 total reviews for this product use substantial repetitive phrases between them. This is within an acceptable range and it does not appear to be significantly affecting the overall rating for this product.
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from the same brand
5 of the 22 reviewers have substantial overlapping product review history. This is within an acceptable range and it does not appear to be significantly affecting the overall rating for this product.
Brand Repeaters
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- 0%
- Admitted to receiving an incentive
Read more about our Incentivized Reviews test. Check out our study showing that Incentivized Reviewers are much more likely to leave a positive review.
- 0
- Reviews have been deleted
There are a few limitations to keep in mind regarding the Deleted Reviews test:
- We don't have a magic ability to collect every single deleted review; we can only identify reviews as deleted if we collect them on one date and then notice they are no longer visible on a subsequent date.
- We have no information on reviews that were never published in the first place.
- We also don't know why these reviews were removed. It could be action from the platform, personal decision by the review author, part of an entire account closure, even some data error on our part, etc.