Data — especially quality data — is the key to predictive analytics. The good news (also the bad news) is that we have gone from data cups, to data pools, to data lakes, to today, where we are dealing with data oceans. In short, most fleets now have access to data — lots and lots and lots of data.
However, it is important to remember that not all data is created equal. The primary focus to ensuring the usefulness of collected data is to filter out the noise by identifying and eliminating anomalies while searching for repeatable patterns. These patterns are ultimately what your predictive analytics will be based on — detecting and understanding historical data resulting in an actionable decision.
