/ Use Cases

Project Management

Reaching goals made easy.

Unify project, operational and enterprise data to increase the likelihood of project success.

As organizations continue to ramp up their digital transformation, technology projects are getting larger, spanning wider reaches, and posing more risks. A past study published in the Harvard Business Review found that the average cost overrun for IT projects was 27%. Even more shocking, of these projects, one in six experienced an average cost overrun of 200% and a schedule overrun of almost 70%. These overruns are caused by numerous factors including mis-aligned skills, inaccurate measurement of the technical/business complexities, and the creation of unrealistic schedules due to unplanned competing priorities. Leverage the Kobai platform to get improved visibility into resource availability, stakeholder identification and measures of project success.

Improve your stakeholder identification:

One of the most challenging and important aspects of any project is stakeholder identification. Missing stakeholders can quickly make a project spiral out of control, or worse, fail completely. Using Kobai, create relationships between applications and their users, both internal and external. Layer in HR data to to get a more complete view into the demographics of the user community and how they interact with the software tools. Take this knowledge to improve requirements analysis, develop communication plans, and give your project a better chance to succeed.

Accelerate risk identification:

All projects have risks. Proper risk identification and management is a large determining factor into the ultimate success of a project. While all project teams know that risk management is important, proper risk management can be a complex, time-consuming activity. As a result, many risks fall through the cracks, become issues, and eventually negatively impact project success. Through the creation of an enterprise ontology within Kobai, create relationships that accelerate the risk identification process and improve visibility to previously hidden risks.

Measure project success:

Tie together your projects with your ITSM data and other enterprise systems to get a holistic view of project success. Quickly and easily gain insights into the quality of the finished product by linking product releases to ticket volume. Identify trends that differentiate projects that finish on time and on budget with those that do not. What is common among the successful projects - project managers, stakeholders, team members, business objectives? Use these observations to drive continual improvements to your project management practices.

Proactively Identify Risks

All projects have risks. How these risks are managed is a large determining factor into the ultimate success of a project.

Visibility into increase of operational activities of project team.
% of product that is developed in house vs outsourced.
Reliance on outside teams for continued operational support.

Resource management:

Visibility into non-project work.
Alignment of resource skills to the needs of the project.
Team performance (velocity).

Driving factor between agile teams with better velocity?

Do certain members of agile teams work better together than when apart?
Do better performing teams have a particular mix of skills?
Is it due to the size of the user stories?

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