I get the impression from the video that you are assuming that all of the data that are being collected and analyzed are of value. Just because we have capability of creating vast amounts of data, does not mean that all measures are of value. What do you do to help a client focus on the minimum set of value-added measures? And what do you do to ensure that you are not mixing apples and oranges when analyzing the data? Does Falconry only work with automatically generated data? What do you do about manually generated, collected, and reported data? Does Falconry only work in real time? What do you do with historical data? What if the historical data are in paper form only?
The Oil & Gas industry is now subject to extra federal regulations regarding "climate change." In point of fact, Marathon Oil is being required to provide data back to 2006. And a lot of these data are not easily accessible. Can Falconry help with this problem?
With Kind Regards,