Improving Project Management Decisions With Big Data Analytics

Improving Project Management Decisions With Big Data Analytics

George Leal Jamil (Informações em Rede C e T Ltda., Brazil) and Luiz Fernando Magalhães Carvalho (Banco Itaú, Brazil)
DOI: 10.4018/978-1-5225-6225-2.ch003
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Abstract

A relationship between project management and knowledge management was observed with a detailed level of analysis in this chapter, as analytics tools and methods were presented to define new perspectives for these dynamics. After a theoretical review that advanced the level reached by a previous paper on the same topic a new theoretical background was completely worked, resulting in a base where a deeper way of analysis allowed, at the end, to study practical cases of rich association for PM and KM in practical, ready to apply situations. As a trend for next competitive cycles, tools, methods, and techniques that focus knowledge production for decision making are to be increasingly defined and applied, on one hand enabling organizations to propose new competitive structures and positioning, and on the other hand, presenting a more aggressive, faster, and demanding competitive environment.
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Projects, Strategic Decisions, And Demands For Knowledge

The basic definition of a project already motivates to think about knowledge and its strategic applications. It is possible to check, from PMBoK (2013), that projects are ways to achieve organizational strategic goals. By analyzing this initial concept, it is possible to understand that a view of the future for this organization was projected, configuring goals to be achieved. As this new situation is faced from organizations, knowledge can be one of the most critical assets to be applied to produce the design of this reachable description. But it is also relevant to understand the role of projects in this process, how its execution and implementation, as final results, were based on data, information and knowledge, as these contents were also generated during the project management phases. It is an important relationship, which defines the background of this research.

It is important to remind that strategy is a discipline oriented to coherently propose future positions for one organization in its social, business and competitive environment. One strategy is stated through a set of consistent decisions, expressed in a base that constitutes the organizational strategic plan, as a coherent path of subsequent decisions (Porter, 2008). In this context, strategic planning is a process that continuously study organizational resources, capabilities, perspectives and competencies, with addition of determination of internal and external factors, aiming to monitor and design implementable actions to reach established goals (Kotler & Keller, 2005; Porter, 2008; Mintzberg, Ahlstrand & Lampel, 2009).

Jamil et al. (2012) conceptualized strategic planning, as the main organizational process, as it is a “knowledge demanding” cohesive set of tasks, which needs, for its success, some factors, components and contents, such as:

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