years of the asset’s life is lower than the accounting income. * Amount will be deducted from accounting income to arrive at taxable income in the current year in order to reduce accounting income to the same level as the accounting income. 2. Landlord collects rents in advance. Rents are taxable in the period when they are received. i. Reversing Entry that results in future deductible amounts and‚ therefore will usually give rise to a future income tax asset. * The rent is taxable
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types‚ wine brand‚ wine selling price‚ etc.). Datasets Considered: Each record contains 12 attributes. Each record contains a set of attributes and one attribute (quality) is the class.Theattributes considered are: 1 - fixed acidity‚ numeric 2 - volatile acidity‚ numeric 3 - citric acid‚ numeric 4 - residual sugar‚ numeric 5 – chlorides‚ numeric 6 - free sulfur dioxide‚ numeric 7 - total sulfur dioxide‚ numeric 8 – density‚ numeric 9 – pH‚ numeric 10 – sulphates‚ numeric
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Case Study #3: Decision Support‚ Artificial Intelligence‚ and B2C E-Commerce: the Case of Unilever By Dustin Allen MNGT 220-01 November 20‚ 2003 Question #1 Decision support systems‚ simply known as DSS‚ are often narrowly defined as highly flexible and interactive IT systems that are designed to support decision-making when the problem is non-structured (Haag‚ 2004). This definition expresses several keywords: support and non-structured. This means that although DSS greatly enhance
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Strategic Business Objectives Operational Excellence New products‚ services and business models Customer and Supplier Intimacy Improved Decision Making Competitive Advantage Survival Value Chain Model Primary Activities Inbound Logistics (warehousing systems) Operations (machining systems) Sales and Marketing (electronic ordering) Service (equipment maintenance) Outbound Logistics (automated shipment scheduling) Support Activities Admin/Management (messaging/scheduling) Infrastructure
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Business Intelligence Plan Executive Summary The purpose of this report is to explain the importance of Business Intelligence and all of its components for implementation into the business structure. During the recent years obtaining useful information in real time has become something that is extremely important‚ if not even a critical‚ factor of success for companies. The time managers have available for use in making business decisions has been reduced dramatically
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provide access to‚ and analyze data and information about the company operations .BI is neither a product nor a system. It is an architecture and a collection of integrated operational as well as decision-support applications and databases that provide the business community easy access to business data. BI Is 1st coined by IBM researcher Hans Peter Luhn in 1958. He Defined intelligence as the Ability to apprehend the interrelationship of presented facts in such a way to guide action towards desired
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Transformation through Business Intelligence Deployments Business intelligence (BI) is a broad category of applications and technologies for gathering‚ storing‚ analyzing‚ and providing access to data to help enterprise users make better business decisions. BI applications include the activities of decision support systems[->0]‚ query[->1]and reporting‚ online analytical processing (OLAP[->2])‚ statistical analysis‚ forecasting‚ and data mining[->3]. Business intelligence applications can be:
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possibility of emerging into business intelligence software we must keep in mind the overall purpose of using any type of software is to reach strategic goals in order to increase market shares. I will discuss how business intelligence software will allow us to meet those strategic goals. We will establish what type of information and analysis capabilities will be available once this business intelligence software is implemented. We will discuss hardware and system software that will be required
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MATLAB EXERCISES UEMH3163 / UECS2053 ARTIFICIAL INTELLIGENCE 1. Run the MATLAB code: a = 1:5; d = a+i*a; e = d’ f = d.’ g = mod(5‚4) 2. Given A = [1 2 4; 1 1 1; 2 3 1] and B = [2 2 2; 2 2 2; 2 2 2]. Run the MATLAB code: a=A>B b=A>1 3. Given A = magic(4). Run MATLAB code : DiagElement = diag(A) DiagMatrix = diag(diag(A)) SuperDiagElement = diag(A‚2) 4. Run the MATLAB code: name = upper(’matlab’) fun = strrep(’hahaha’‚’a’‚’i’) greet = ’Welcome’; where = ’to Joan’’s’; party = ’birthday
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Business Intelligence projects start out as a simple report or request for an extract of data. Once the base data is aggregated then the next request usually is about summing data or creating more reports that have different views to the data sets. Before long complex logic comes into play and the metrics coming out of the system are very important to many corporate wide citizens. "Centrally managed business rules enable BI projects to draw from the business know-how of a company and to work with
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