Data analytics teams are often overtasked and understaffed. To keep delivering results, they are oftentimes forced to take shortcuts or significantly reduce the scope of their analysis. This is especially true when it comes to dealing with large, complex datasets. Data sampling can provide relief for analysts, but it also introduces new challenges.
Data analytics teams are often overtasked and understaffed. To keep delivering results, they are oftentimes forced to take shortcuts or significantly reduce the scope of their analysis. This is especially true when it comes to dealing with large, complex datasets. Data sampling can provide relief for analysts, but it also introduces new challenges.