This lack of integrity of data is seen in Fig. 12.1.3.
Fig. 12.1.3 The lack of integrity of data.One can see the frustration across the organization. How in the world can decisions be
made when no one knows what the correct value of data is?
But the lack of integrity is not the only problem with operational applications. Another
problem with operational applications is that there is only a minimal amount of historical
data to be found in operational applications.
There is a good reason for there being minimal history in operational applications. The
reason for the minimal amount of historical data is that the need for high-performance
trumps all other operational objectives. System tuners long ago discovered that the more
data there are in a system, the slower the system runs. Therefore, in order to have optimal
performance, system tuners jettisoned historical data. Because operational systems have
a need for high performance, of necessity, there is little historical data found in the
operational environment.
Fig. 12.1.4 shows that there is minimal historical data found in the operational
environment.
Chapter 12.1: Operational Analytics