Definitive diagnostic data are a specific type of
data
Data ( , ) are a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted for ...
used in the investigation and diagnosis of
IT system
Information technology (IT) is a set of related fields within information and communications technology (ICT), that encompass computer systems, software, programming languages, data and information processing, and storage. Information technolo ...
problems; transaction performance, fault/error or incorrect
output
Output may refer to:
* The information produced by a computer, see Input/output
* An output state of a system, see state (computer science)
* Output (economics), the amount of goods and services produced
** Gross output in economics, the valu ...
.
Qualification
To qualify as Definitive Diagnostic Data it must be possible to correlate the data with a user's experience of a problem instance, and for that reason they will typically be time stamped
event
Event may refer to:
Gatherings of people
* Ceremony, an event of ritual significance, performed on a special occasion
* Convention (meeting), a gathering of individuals engaged in some common interest
* Event management, the organization of eve ...
information. Log and trace records are common sources of Definitive Diagnostic Data.
Statistical data
Generally, statistical data can't be used as it lacks the
granularity
Granularity (also called graininess) is the degree to which a material or system is composed of distinguishable pieces, "granules" or "grains" (metaphorically).
It can either refer to the extent to which a larger entity is subdivided, or the ...
necessary to directly associate it with a user's experience of a problem instance. However, it can be adapted by reducing the sample interval to a value approaching the response time of the system transaction being performed.
Further information
Definitive Diagnostic Data S. Kendrick, Sharkfest 2014 Conference
* Offord, Paul (2011). ''RPR: A Problem Diagnosis Method for IT Professionals''. Advance Seven Limited. {{ISBN, 978-1-4478-4443-3.
Data
Information technology