Question

The UA record app can provide personalised advices to a specific user by collecting and analysing personal data. Please list one example for each of the following data types, categorical, ordinal and numerical, in the context of the case study. [5 marks]

2.       The UA Record app collects the data from a lot of users, and thereby the backend system can do trend analysis over these data. However, the data could be collected through different versions of different devices and apps, in different countries, at real time by sensors or manually. What kind of data quality issues do you think there could exist? Please list at least three different data quality issues and briefly explain them. [5 marks]

Answer 1

The UA record app can provide personalised advices to a specific user by collecting and analysing personal data. Please list one example for each of the following data types, categorical, ordinal and numerical, in the context of the case study. [5 marks]

Ans: Categorical type - fitness level (slim, healthy, fat)

ordinal data type - Training level (Level 1, level 2, level 3)

numerical data type :- Weight of the user(it is numeric and continuous in nature)

2.       The UA Record app collects the data from a lot of users, and thereby the backend system can do trend analysis over these data. However, the data could be collected through different versions of different devices and apps, in different countries, at real time by sensors or manually. What kind of data quality issues do you think there could exist? Please list at least three different data quality issues and briefly explain them. [5 marks]

Ans:

1. Inconsistent data: As the data is being collected from different parts of the world, there will be a data quality problem. Duplicate data may exist in the database, and brings down the performance of back end operations

2. Poor Data security: As huge amount of data is stored, it is quite difficult to control the entire dataset. There can be occurrence of data loss, and spam generation which will almost guarantee the loss of a future renewal.

3. Poor data recovery:

Throughout all of these data issues is the common theme that in order to have your data in the best condition possible, proper management is key. Likewise, the best way to keep your data in order is to implement a proactive data solution that can take care of all of the listed common data quality issues.

Let me know if you have any doubts or if you need anything to change. 

If you are satisfied with the solution, please leave a +ve feedback : ) Let me know for any help with any other questions.

Thank You!
===========================================================================