There is an emerging field that incorporates several other fields of science to complete its specialty. The field of data science is not necessarily a new one, but is one that has come to be much more important in the last decade or so. Now that our lives are documented digitally in every aspect, a great deal of data is stored. Any company today, large or small, collects data on their every day proceedings. This data builds up pretty quickly and must be back-stored to make space for our smaller, more regular procedures that are done digitally. When such massive amounts of data are stored they can easily be ignored and never assessed. However, the assessment and analysis of this data can be extremely vital to the smooth operations of that company.
Why do we collect data in the first place? It is always a good idea to document occurrences and situations so that they can be revisited if needed. Data collection is also done so that data sets may be used for analysis. When we continue to document every aspect of a procedure, such as a flight from Denver to San Diego for example, there is a great deal that can be learned. If every flight from Denver to San Diego is documented over one year, we then have the ability to make several assessments on the flight which could lead to improvements. Take, for example, the length of the flight. It likely varies between each one but stays within an average range. This range allows the airline to better plan for their scheduling and for how much fuel and other resources are needed per flight. Additionally, if there ever is a flight length that is well outside of the standard range, we would know that it might need a closer look. What made the flight so much faster or slower than the others? Can it be solved by looking at the collected data, or was the data collection itself wrong for this flight?
By just looking at one aspect of one type of flight you can see how much can be learned. So imagine if you are collecting measurements on thousands of flights a day; there would be a lot to learn but also a great deal of data to process and analyze. Data science consulting firms like Mosaic Data Science are specially trained to organize large data sets for analysis. In the example above, they would provide flight lengths and other variables that affect flight lengths so that as assessment could be made about them. This assessment would be under the ultimate goal of improving operational efficiency. Mosaic Data Science has an entire team of professional data scientists that can provide exactly these assessments and analyses for any company. Although they specialize in air traffic and shipping, they have the capacity to run an analysis for any company. Mosaic would provide a report on trends and patterns for all aspects of your operations. They could provide suggestions for optimization as well as risk assessments for future success.