A goal-oriented, business intelligence-supported decision-making methodology

نویسندگان
چکیده

منابع مشابه

A goal-oriented, business intelligence-supported decision-making methodology

In many enterprises and other types of organizations, decision making is both a crucial and a challenging task. Despite their importance, many decisions are still made based on experience and intuition rather than on evidence supported by rigorous approaches. Decisions are often made this way because of lack of data, unknown relationships between data and goals, conflicting goals, and poorly un...

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Toward a Goal-Oriented, Business Intelligence Decision-Making Framework

Decision making is a crucial yet challenging task in enterprise management. In many organizations, decisions are still made based on experience and intuition rather than on facts and rigorous approaches, often because of lack of data, unknown relationships between data and goals, conflicting goals, and poorly understood risks. This paper presents a goaloriented, iterative conceptual framework f...

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Business Intelligence: Socializing Team-Based Decision Making

For many of us, making decisions is a challenge; for others, it can be torture. Despite nearly half a century of work in decision support and business intelligence (BI), many businesses’ decisions look vaguely dysfunctional. If we examine how most organizations really make important and innovative decisions, we see that most are made by teams (permanent or transitory) of people rather than by i...

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Open Business Intelligence for Better Decision-Making

Decision-making is a crucial, yet challenging task in enterprise management. In many organizations, decisions are still made based on experience and intuition rather than on facts and rigorous approaches. This is often due to lack of data, unknown relationships between data and goals, conflicting goals and poorly understood risks. The success of organizations depends on fast and well-founded de...

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The GOBIA Method: Towards Goal-Oriented Business Intelligence Architectures

Traditional Data Warehouse (DWH) architectures are challenged by numerous novel Big Data products. These tools are typically presented as alternatives or extensions for one or more of the layers of a typical DWH reference architecture. Still, there is no established joint reference architecture for both DWH and Big Data that is inherently aligned with business goals as implied by Business Intel...

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ژورنال

عنوان ژورنال: Decision Analytics

سال: 2014

ISSN: 2193-8636

DOI: 10.1186/s40165-014-0009-8