I have been a fan of efficient and safe data analysis so I thought that I would take the time to discuss the approach that I take when analyzing large amounts of corporate data. When it comes to data analysis, bulk-data can be generated yearly, monthly, weekly, daily, hourly and so forth, but what is best? It really comes down to the time-sensitivity of the data and how it will be used. If you are looking to plan for major roll-outs, yearly or even monthly would be sufficient, but if you are dealing with customer complaints that need to be addressed quickly, daily and hourly are much more useful.

It is also critical to understand the quantity of data and the room for error. Unless automated, it is very difficult to analyze large data sets (one million+ records) on a daily basis without losing accuracy. Differently, yearly or monthly analysis can be largely error-free even when dealing with massive data sets as time pressures are generally minimized and more care can be taken.

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