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Cornelius Mellino Sarungu
Bina Nusantara University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Low Cost Data Analytics Implementation on Project Management Process Automation Cornelius Mellino Sarungu; Liliana Liliana
IJNMT (International Journal of New Media Technology) Vol 5 No 2 (2018): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1852.544 KB) | DOI: 10.31937/ijnmt.v5i2.1065

Abstract

Project management practice used many tools to support the process of recording and tracking data generated along the whole project. Project analytics provide deeper insights to be used on decision making. To conduct project analytics, one should explore the tools and techniques required. The mostcommon tool is Microsoft Excel. Its simplicity and flexibility make project manager or project team members can utilize it to do almost any kind of activities. We combine MS Excel with R Studio to brought data analytics into the project management process. While the data input process still using the old way that the project manager already familiar, the analytic engine could extract data from it and create visualization of needed parameters in a single output report file. This kind of approach deliver a low cost solution of project analytics for the organization. We can implement it with relatively low cost technology onone side, some of them are free, while maintaining the simple way of data generation process. This solution can also be proposed to improve project management process maturity level to the next stage, like CMMI level 4 that promote project analytics. Index Terms—project management, project analytics, data analytics.
Co-Authors Liliana Liliana