Databases Reference
In-Depth Information
The data scientist can use advanced analytics techniques to identify specific product
quality issues. For example, the report in Figure
9-7
shows a summary of the top issues
identified by customers in social media regarding hand- set quality issues. First shown are
the overall general negative issues discussed about the hand-set. Second to these general
complaints are issues with the battery life, button keys, the camera not working and
issues with the screen display, etc.
Neg Prod - Phone
Neg Hardware -
Battery Life
Neg Quality -
Broken/Defective
Neg Hardware -
Small Buttons
Neg Multimedia -
Camera
Neg Hardware -
Screen Display
Neg Quality -
Scratches Easily
Neg Quality -
Phone Freezes
Neg Deisgn - Too
Big
Neg Quality -
Audio Phone
0
20
40
60
80
100
120
140
160
180
200
220
240
Figure 9-7.
Sentiment analysis related to the quality of the product
In some cases, the data scientist might even identify issues that could pose a safety
threat. The analysis in Figure
9-8
shows the progression of a potentially dangerous issue
around a new device that “gets hot” during use. The data scientist has created a time
series chart that tracks the issue and the frequency with which the issue was mentioned
over time.
