Collective Intelligence

Application Example: Pre-Implementation Vulnerability Analysis

According to some estimates, up to 75% of enterprise software deployments fail in some important way: the project is over-budget, behind schedule, or the software is deployed and not used. Michael Krigsman, CEO of Asuret, is a noted expert on this subject. Given the size of enterprise software deployments, which can easily range into the millions of dollars, careful project assessment is an essential element in improving the odds of success.

Traditional IT project risk assessments suffer from several important deficiencies:

  • Clients may view IT risk assessments as biased, designed more to increase consultant revenues than to provide an objective and thorough analysis of their issues
  • Information gathering is limited to a small group of participants, resulting in biased source data and skewed results
  • Time and cost concerns limit the scope of the exercise, further constraining the value of the results

Asuret's CI Engine provides a superior solution to the problem of performing rapid IT project vulnerability and risk assessments. CI Engine evaluates almost 50 qualitative dimensions of IT project success and failure, converting them into discrete, measurable, and quantitative data for driving IT change initiatives. The direct result is a more successful IT implementation and deployment process.

When traditional consultants take on an assessment assignment, they usually spend a substantial amount of time interviewing key participants. That's a good way to understand complexity in a situation where the nature of the problem is not clearly understood. With IT projects, however, the problems and associated management techniques are well-understood, making interviews a time-consuming and unnecessarily expensive method for conducting assessments. Face-to-face interviews require too many people, too many hours, and too many dollars. Worse, the interviews can turn into a committee effort, which often produces least common denominator conclusions—the result of interview fatigue and too much editing and filtering of information.

The CI Engine vulnerability assessment begins by asking participants and stakeholders to evaluate approximately 50 vulnerability dimensions in the upcoming project. CI Engine asks participants to quantify two aspects of each dimension—the actual level of riskiness, as measured by a series of descriptive statements, and the relative importance of each risk factor for this specific project. Participants may also add text comments about each question, and may choose to not evaluate any dimension where they lack appropriate information.

The collective intelligence analysis is divided into seven parts, each of which covers a set of critical implementation factors. Click the links below to see the dimensions used to evaluate pre-implementation vulnerability:

For more information, call:

Michael Krigsman
President
Asuret, Inc.
617/905-5950
mkrigsman@asuret.com

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