Data Mining: What is Data Mining? Overview Generally‚ data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue‚ cuts costs‚ or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it‚ and summarize the relationships identified
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quality management history‚ gurus‚ TQM theories‚ process improvement‚ and organizational ’excellence’ The history of quality management‚ from mere ’inspection’ to Total Quality Management‚ and its modern ’branded interpretations such as ’Six Sigma’‚ has led to the development of essential processes‚ ideas‚ theories and tools that are central to organizational development‚ change management‚ and the performance improvements that are generally desired for individuals‚ teams and organizations. These
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leading financial institution of Pakistan and a dynamic international bank in the emerging markets‚ providing our customers with a premium set of innovative products and services‚ and granting superior value to our stakeholders – shareholders‚ customers and employees. Current Strategy: Mantas‚ Inc.‚ a leading global provider of advanced solutions for compliance and risk management including anti-money laundering (AML)‚ broker and trading compliance‚ fraud detection‚ and operational risk
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Quality Improvement Plan: Part III - Managing and Improving Quality In today’s health care environment‚ competition remains high and many organizations are seeking new ways to improve their quality of care‚ as well as remain competitive with other health care organizations in the process. Various methods exist today for organizations to integrate quality improvement strategies to help in the measurement of performance improvements. This paper will discuss:1) several methodologies‚ the pros and
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Networks Volvo utilized data mining in an effort to discover the unknown valuable relationships in the data collected and to assist in making early predictive information. It created a network of sensors and CPUs that were embedded throughout the cars and from which data was captured. Data was also captured from customer relationship systems (CRM)‚ dealership systems‚ product development and design systems and from the production floors in their factories. The terabytes of data collected was streamed
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resource management during peak and off peak hours manageable. At all times there is enough staff on hand to take care of business and overall effectiveness is improved Drawback to this approach includes huge rental space to accommodate large operational facility. It could also become very costly on staff training. Workforce productivity are not usually related to the number of staff working on a task‚ and productivity variance may tilt negatively for McDonalds on this. Operating cost are very high
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MANAGEMENT OF QUALITY Quality cannot be ignored; every purchasing decision is based on price and quality What is Quality? It’s the ability of a product or service to consistently meet or exceed customer expectations. Slogans related to quality: * Talk is cheap but recalls are not. * There is nothing is more frustrating than working hard and then knowing that what you did‚ didn’t work out. * People want to do good job‚ and we have to enable them. To meet or exceed customer expectations
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Operational readiness is the key success factor for project management In many studies and reports‚ project successes tend to be measured against the prescribed schedule‚ cost and performance. In reality‚ project success measurement should be against projects constraints and the operational readiness status of the business environment. The combination of the two will assist in efficiently using the product or service as intended. What is operational readiness? In definition‚ operational
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The Globally Integrated Enterprise Samuel J. Palmisano Chief Executive Officer‚ Business Perspective Organization transformation from The Multinational corporation to The Globally integrated enterprisemarks just as big a leap Corporate Evolution • Corporation- creature of state • Mid-19th century-emergence of international corporation • 2nd phase began in 1914 • Spread of protectionism 1920s & 1930s lead to evolution of MNC • MNC Hybrid Corporate Evolution • MNC Hybrid – Adapted
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Data Preprocessing 3 Today’s real-world databases are highly susceptible to noisy‚ missing‚ and inconsistent data due to their typically huge size (often several gigabytes or more) and their likely origin from multiple‚ heterogenous sources. Low-quality data will lead to low-quality mining results. “How can the data be preprocessed in order to help improve the quality of the data and‚ consequently‚ of the mining results? How can the data be preprocessed so as to improve the efficiency and ease
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