Software can do much of the work in data analysis, but it is useless without good data. The data preparation process (e.g., cleaning, filtering, exploring) can take 80%-90% of the time spent on an analytics project while only 10%-20% of the time is the actual analytics/modeling task of the project. What steps can a company take to assure that most of an analyst's time is spent actually doing analytics rather than preparing the data? How can the company assure that these steps produce a favorable cost/benefit analysis? Explain.

Answer rating: 100% (QA)

To ensure that most of an analysts time is spent on actual analytics rather than data preparation a company can take several steps 1 Invest in Data Infrastructure The company should invest in robust d... View the full answer