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DECISIONS DRIVE SUCCESS<br />

Dragos STOICA 1 & Pavel NASTASE<br />

Bucharest Academy of Economic Studies, Romania<br />

ABSTRACT<br />

Organizations are forced to be overly dependent on past experience due to the lack of usable<br />

information, or the inability to quickly and effectively analyse unstructured data. Significant<br />

amounts of data are ignored, mismanaged or underutilized - one in three business leaders<br />

report making critical decisions with incomplete or untrustworthy information (Merv Adrian,<br />

2010). This is no longer acceptable. With the growing velocity, volume and variety of complex<br />

data, organizations will have to rethink and reshape the way they work. The data has to be<br />

changed into information that yields fast and conclude answers, thus allowing the decision<br />

factors to make choices that lead to the improving of the performance inside the company.<br />

Due to a lack of timely and accurate information, project and process management within the<br />

software and systems development and delivery lifecycle often rely more on guesswork than<br />

good insights. At the same time, marketplace and budgetary pressures force teams to<br />

continually make faster progress with fewer resources. To optimize business results and<br />

competitiveness, organizations need to give decision makers and teams the ability to make<br />

informed decisions based on real-time information. This paper explores how an inability to<br />

quickly access and analyze data within the development lifecycle limits the effectiveness of<br />

project teams and explains how organizations can create transparency across the processes<br />

that support effective software delivery. Also the paper shows the benefits of capturing the<br />

right data and delivering it to the right people at the right time. Business Analytics with<br />

Business Intelligence are the key factors which contributes to making successful business<br />

decisions and supporting.<br />

KEYWORDS: Decision making, Business Analytics, Business Intelligence,<br />

DECISION MAKING - INTRODUCTION<br />

Organizations operating in today’s global economy are faced with unprecedented<br />

competitive and regulatory pressures and a heightened level of uncertainty. Driven by<br />

geopolitical trends and financial scandals, national and international regulatory<br />

agencies have performed rules with far-reaching impact on the daily operations of<br />

organizations in all industries. By most accounts, the uncertainty is more profound<br />

than in the past decades, and is likely elevated by the amount of data and information<br />

available to decision makers nowadays. Hence, there is a trend towards continuously<br />

shrinking decision cycles where improved, faster, more accurate, insightful and<br />

flexible decision making commands a premium and serves as basis for competitive<br />

advantage. However, significant shortcomings persist in the ability of organizations to<br />

address the decision-making needs of its employees.<br />

1 Correspondence address: Dragoş STOICA, IBM Romania, Ph. D Student at Bucharest Academy of<br />

Economic Studies, Romania; email: dragoshstoica@yahoo.com<br />

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