By Role
Data Scientist
Challenges with Data Scientist
- Generally not aware of SQL and ETL Skills
- They need heavy data cleaning, null removal, outlier removals, data wrangling on the data to remove incorrect prediction and biases
- They depends on Data Engg for this. Hence leading to wastage in precious time
- Data scientists generally spends 60% of his time in getting required clean data which is not their core work
With Ask On Data
- Can get required clean processed data by himself by simply typing.
- Not depend on Data Engineer, hence save time
- Can spend his time on actual data science, rather than getting required clean data
- Faster decision making for business users