Some root cause analysis approaches are geared more toward identifying true root causes than others; some are more general problem-solving techniques, while others simply offer support for the core activity of root cause analysis.
All data in modern computers is stored as series of bits. A bit is a binary digit and can have one of two values; the two values are generally represented as the numbers 0 and 1. The most basic form of representing computer data, then, is to represent a piece of data as a string of 1s and 0s, one for each bit.
So, in a computerâs memory, a tiny transistor that is on (conducting a current) might represent a 1, while a transistor that is off would represent a 0 (zero). The binary number 11100111101, for example, means: Ah! So they are the same number! 1853 (base 10) = 11100111101 (base 2) Notice that each binary digit position in the base 2 number has 2 times the value of the binary digit position to the right of it (since this is base 2; remember how base 10 worked). It gets cumbersome saying âbinary digitâ all the time, so the shorter term âbitâ was invented. A bit is one binary digit. A bit can hold either a 1 or a 0 (zero). A string of bits can hold larger numbers (just as you use strings of base 10 digits to represent numbers larger than 9). A particularly handy size chunk of computer memory happens to be 8 bits long.