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Business Intelligence Competency Center : ウィキペディア英語版
Business Intelligence Competency Center
A Business Intelligence Competency Center (BICC) is a cross-functional organizational team that has defined tasks, roles, responsibilities and processes for supporting and promoting the effective use of Business Intelligence (BI) across an organization.
As early as 2001, Gartner, an information technology research and advisory company, started advocating that companies need a BICC to develop and focus resources to be successful using business intelligence.〔Strange, K. H., Hostmann, B. (22 July 2003), BI Competency Center Is Core to BI Success, Gartner Research〕 Since then, the BICC concept has been further refined through practical implementations in organizations that have implemented BI and analytical software.
In practice, the term "BICC" is not well integrated into the nomenclature of business or public sector organizations and there are a large degree of variances in the organizational design for BICCs. Nevertheless, the popularity of the BICC concept has caused the creation of units that focus on ensuring the use of the information for decision-making from BI software and increasing the return on investment (ROI) of BI.〔Miller, G., Queisser, T (2008), The Modern BI Organization, Heidelberg, MaxMetrics GmbH〕
A BICC coordinates the activities and resources to ensure that a fact-based approach to decision making is systematically implemented throughout an organization. It has responsibility for the governance structure for BI and analytical programs, projects, practices, software, and architecture. It is responsible for building the plans, priorities, infrastructure, and competencies that the organization needs to take forward-looking strategic decisions by using the BI and analytical software capabilities.
A BICC’s influence transcends that of a typical business unit, playing a crucial central role in the organizational change and strategic process. Accordingly, the BICC’s purpose is to empower the entire organization to coordinate BI from all units. Through centralization, it "…ensures that information and best practices are communicated and shared through the entire organization so that everyone can benefit from successes and lessons learned."〔Miller, G., Bräutigam, B, & Gerlach, S. (2006). Business Intelligence Competency Centers: A Team Approach to Competitive Advantage. Hoboken: Wiley〕
The BICC also plays an important organizational role facilitating interaction among the various cultures and units within the organization. Knowledge transfer, enhancement of analytic skills, coaching and training are central to the mandate of the BICC. A BICC should be pivotal in ensuring a high degree of information consumption and a ROI for BI.
Business Intelligence Competency Centers in U.S. Healthcare
Next to the U.S. government, the American healthcare industry generates the second largest amount of information every year. However, despite having complex information management needs, a KLAS report revealed that one-third of healthcare organizations do not have the appropriate business intelligence tools.
Since finance and energy industries have successfully implemented business intelligence competency centers (BICCs) and have produced financial returns on their investment and accelerated decision-making speed, the healthcare industry is initiating use of BICCs.〔(【引用サイトリンク】url=http://finance.yahoo.com/news/business-analytics-returns-13-01-151800882.html )〕 Creating a business intelligence competency center in healthcare involves prioritizing information needs, creating data governance structures, identifying data stewards to provide data quality assurance, establishing ongoing education programs, and defining predictive modeling, analytics, data warehouse, and cloud storage tools.
Skills Needed
Information technology specialists in SQL design, relational databases, programming, reporting software, and analytics can provide the necessary technical information management skills. Data stewards, such as data analysts and scientists, understand the creation, capture, storage, and access processes needed to ensure high quality data.
== References ==


抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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