DATA SCIENCE APPROACH FOR IT PROJECT MANAGEMENT

Majority of the IT companies realized that ability to analyse and use data, could be one of the key factors for increasing of number of successful projects, portfolios, programs. Key performance indicators based on data analysis helps organizations be more prosperous in a long term perspective. Also, statistical data are very useful for monitoring and evaluation of project results which are very important for managers, delivery directors, CTO and others high level management of company. The Data Science methods could make more efficient project management in several of business problems. Analysis of historical data from the project life-cycle based on Data Science models could provide more efficient benefits for different stakeholders. Differential of the project data vector with target as an integral evaluation of the project success which allow for the complex correlations between separate features. Therefore, the influence of features importance and override creatures could be decreased on the target. This study propose new approach based on Data Science providing more efficient and accurately project management, taking into account best practices and project performance data

Loss of Innocence 01

Artist\u27s Statement Performance and acting allows one to behave honestly in their imagined circumstance. My performances are reflective of my genuine emotions and reactions to life’s difficulties, without filters. In social interaction, like many others, habit is to bottle up anger and sadness so that it may be processed later. Negative emotions are meant to be dealt with in privacy. My performances are a view into my private world that has been so strongly affected by love. The love I deal with through this series of performances is the deep connection shared between lovers. These ties stain and mark the individual forever and permanently change both people. In these performances I act out the emotions I have experienced through the gain and loss of this deep and forever staining love. From happiness to bitterness, each emotion has left its mark. Through my use of objects and minimal words, I leave the interpretation open for the viewers so they may reflect similar emotions and toils.https://digitalcommons.linfield.edu/avc_port2011/1036/thumbnail.jp