Application of Predictive Analytics in Telecommunications Project Management

Abstract

This paper addresses a prevalent issue in technologybased industries of underperforming or even totally failing projects. There is strong evidence that a major influencing factor to the situation is the incorrect assumption about availability of effective technology that can assist management in project planning. The aim of the paper is to demonstrate and discuss effective approaches for using Predictive Analytics methods and tools in the Telecommunications industry to mitigate project planning issues and avoid possible project failures. Although, these methods and tools are not new, as the traditional statistical models form the core of the application, however, the novelty stems from the new processes and methods used by these tools for presentation and workflow. This change in the approach allowes to lower the usage barrier by providing an access to a wider community of end-users. Thanks to embeding a formalised approach into the workflow, users are guided through complex analytical processes more easily, thus allowing less technically advanced users to draw valuable conclusions without necessarily requiring a formal training in advanced statistical methods. Discussed case studies demonstrate suitability of Predictive Analytics as a powerful and highly accessible tool for project planning in the telecommunications domain.