Please answer the speci

Q$1$: Formal sample size issues are important only in academic $($ enumerative$)$ statistics. In analytic statistics, the answer to How much data? is Enough to characterize the underlying situation. $(2019,$ Nash et al $.,$ pp $.155-156)$ Why is this the case? How is academic$/$research statistics fundamentally different from analytic situation such as this?

Q$2$: How might you improve the "everyday use of organizational data" process? Do you currently see it as a source of waste hampering your improvement efforts?fied questions, this response is unclear.