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SamanthaTM - Change Prediction
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Have you noticed that some people are better at performing IT changes than others?
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Wouldn't it be great if you could:
- Obtain text or e-mail warnings if a planned change has a quantified risk above a certain level, i.e. 65%.
- Obtain text or e-mail warnings if a planned change can affect a particular group, i.e. Sales or Manufacturing
- Obtain text or e-mail warnings if a planned change can affect a VIP -- you know, those special people in your organization
who can quickly make you day miserable
Socio-technical systems (STS) theory was developed in the 1960's. STS points out that every organization is
made up of people (the social system) using tools, techniques and knowledge (the technical system) to produce
goods and services valued by customers (who are part of the organization's external environment).
IT departments within organizations represent a social system that supports technical systems used by end-users.
Socio-technical system concepts emphasize the two-way relationship between people and machines.
Research on human error in collaborative systems concerns how human error affects systems and how these errors
can be analyzed. Various researchers have classified human error in many ways. When viewed at the cognitive
level, there are three main types of errors; slips, lapses and mistakes. Another error taxonomy was produced
based on observable behavior; action in the wrong place, action at the wrong time, action of the wrong type, or
action not included in the plan.
Keep in mind though that humans have infinite attributes and capabilities to infer, anticipate, collaborate, redo,
undo, communicate, plan, assume, perceive, role-play and otherwise solve problems before or immediately after
they occur. Problem-solving and communications skills vary from individual to individual, such that a person's
ability to anticipate or otherwise avoid problems is a personal characteristic of the individual.
Based on our patent-pending, research-backed hueristic models, SamanthaTM can help you avoid IT problems,
before they happen!
We factor-in numerous variables including the complexity of the change, when the change is made,
what can be affected by the change, and factors considering who is making the change. SamanthaTM Change Prediction relies
on social networks, capturing what others say about this change, or what others have said in the past.
The more you use the system, the more accurate the predictions become.
One downtime avoided is all you need to rely
constantly on predictions SamanthaTM performs, that are humanly impossible to anticpate otherwise. Let us
show you how.
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