Principles of Accounting

Principles of Accounting This assignment is based on the accounting and its principles. This assignment contains the explanation of accounting and how much that is effective in any business. Different roles of the accounting in business. This assessment also defines the difference between the financial accounting and management accounting as well. There are also some steps are explained that are used for the planning and budgeting of the business. All this assignment is based on the accounting principles and rules and regulation set by the business organisation. Accounting, acquired sorting, recovery, sketch out, and despite the various reports and information on tests showing that the recording of Financial trades. In like manner to the preparation of the formal accounting of these works, including those who have a calling. Accounting principles he rules and guidelines that companies must follow when reporting financial data. The common set of accounting principles are: Accrual Principle Conservatism Principle Consistency Principle Cost Principle Economic Entity Principle Full Disclosure Principle Going Concern Principle Matching Principle Monetary Unit Principle (Coller, 2015) The main objective of the responsible accounting is providing help in the planning and control of the responsibility centres of the company. Treatment of solid and similar things it recommends the use of accounting system. The work that goes into setting accounting standards of the need for equality is based around an incredible piece. (accounting, n.d.) Good but will be good to explain some of those principles Responsible accounting refers to that type of accounting which is related to budgeting and internal accounting of an organization. The main objective of the responsible accounting is providing help in the planning and control of the responsibility centres of the company. It also involves the preparation of monthly and annual budget for every responsibility centre. OK Characteristics of Responsibility accounting are: Understand ability This kind of expression, clarity, accounting information would be appropriate to propose that the customers who are generally expected to learn the trade and budgetary activities is a sensible. OK Relevance It brings to be important, accounting information should help to shape a client, certified or perhaps a scene change settling on a decision (as this would have a right to my contribution, it would be prudent for a as a rule, I must deposit money to this business? it is thought to be a smart thing for me to do this business?) OK Consistency Treatment of solid and similar things it recommends the use of accounting system. The work that goes into setting accounting standards of the need for equality is based around an incredible piece. OK Reliability Interprets that the accounting information is shown, the straight right, (not necessarily anything left behind a remarkable open door) with and being checked (eg a potential budgetary authority) to get ready. OK Objectivity The estimate provided accounting information and a fair way is declared. By the end of the day, it is a particular client or individual holding the pile is uneven. (Collier, 2015) OK Management accounting is the process of identification, measurement, accumulation, analysis, preparation, interpretation, and communication of information that assists managers in specific decision making within the framework of fulfilling the organizational objectives. That include: Planning: Planning method without further ado or maybe the whole deal. Incredibly organization, with emphasis on the process of creating a convincing business results for orchestrating a drive to collect ached. Planning: management accounting is a basic part of this range is expected. Good Arrangements: Management accounting intense coordination between the various divisions tries to achieve. The division focuses on the need to report the expenses system, to fill various needs this information allows the organization supports. OK Coordinating: a movement of inspiration for athletic technique. Additionally, the accounting organization, towards the achievement of the desired goals of the different divisions related to energize workers while contributing to each and every business destinations like the way allows for example, tries.   OK Controlling: control, so far as money-related arrangements for the holding of a trade are useful in empowering technology is concerned, as well as budgetary control to control a fine strategy. Such divergence in the performance of the business in terms of substance to restorative measures are helpful. OK Communicating: The results of this strategy that the proprietors, supervisors and subordinates are passed through. Essential for customers highlighting the necessary information transmitting data, for example, business progress, joins budgetary position. (Collier, 2015) Very Good There are different important aspects that relate to different features of the businesses finances activities    financial accounting, and management accounting. Financial accounting Financial accounts to its peers out of a relationship is used to present economic prosperity. Best administrative employees, stockholders, foundations and various testers budgetary financial accounting reports are gathering for the audience. Allocation of Financial accounting presents a particular time in the past and see how the Association is performed enables the social function. Financial accounting reports must be stored on a yearly beginning, and associations to publicly traded, some sections of the annual report should be made to record all-inclusive community. Ok Management Accounting Organization or official accounts concerning the normal operation of a business decision to settle is used by the owner. It is in the light of past performance, but not yet present and future examples, which do not contemplate the measure number is developed. As the owner of a volatile situation continued operation in a short time period, the decision to organize the needed parts of the organizations accounting and business decision-making, for example, depends on the enthusiasm. (Collier, 2015) OK Budgeting- its process to how to and how much spend money on different activities to achieve organisational goals creating a Budget. The budget is using by every company or business to set all the expectations for revenue and expenses. Clear. Planning a budget: Identify expenses Pick a sensible rate of your wage to set aside for conceivable later utilize resources or hypothesis accounts. The more you can redirect into hypothesis funds, the better. 10% is a tolerable aggregate for an enthusiastic couple, however sparing even as forlorn as 1 percent can help you to set up strong affinities and begin an instance of setting cash aside. OK Identify expenses There is a degree of differentiating choices to examine when youre set up to make your spending bunch. You can keep it fundamental, utilizing a pen-and-paper framework, or you can utilize a PC programming bunch.   OK Finding the amount for savings On the off chance that your aggregate pay is palatable to deal with your costs and ventures, make seven days by week or month to month spending plan apportioning clear totals for each costs thing. Selecting a budget format Set aside the opportunity to look at the financial course of action now to guarantee that it is sensible and all remuneration and costs are addressed. (Collier, 2015) Good Explain what is an accounting performance? Financial Ratios A standard financial verbalization examination device is budgetary degrees. These degrees take data from the company. Financial pronouncements and learn budgetary pointers for association with another affiliation or the business standard. Financial degrees unite liquidity, resource turnover, monetary use and preferred standpoint computations. Liquidity degrees take in the company capacity to meet decisively budgetary duties. Resource turnover degrees show how well the affiliation utilizes its purposes of enthusiasm for make benefits. OK Horizontal Analysis A Horizontal Financial verbalization examination considers current budgetary pronouncements to a past year financial data. Affiliations a significant part of the time facilitate this examination by putting quite a while of trade related elucidations out a one next to the next examination arrange.   OK Vertical Analysis A vertical financial verbalization examination is composed utilizing basic size financial elucidations. An ordinary measure Financial articulation indicates everything on a monetary elucidation in a rate figure for every revelation line thing. A vertical examination gives supervisor a substitute choice for evaluating financial data; administrators might be more open to looking as opposed to dollar sums.   OK Trend Percentage Analysis A case rate examination is an upgraded even examination system. Slant rate examinations help affiliations perceive persisting vocations or costs from past bookkeeping periods. These cases can help supervisor settle on business choices concerning future operations. OK Best administrative employees, stockholders, foundations and various testers budgetary financial accounting reports are gathering for the audience. Allocation of Financial accounting presents. Financial pronouncements and learn budgetary pointers for association with another affiliation or the business standard. Financial degrees unite liquidity, resource turnover, monetary use and preferred standpoint computations. Liquidity degrees take in the company capacity to meet decisively budgetary duties. Sales cost per unit is dependable. Variable expenses per unit are unsurprising. Total settled expenses are constant. Everything passed on is sold. Costs are influenced considering the way that action changes. Valid points Helpful exercises solidify giving things, associations or cash without altering for any lack by paying representatives less or charging clients more. Financial accounts to its peers out of a relationship is used to present economic prosperity. Best administrative employees, stockholders, foundations and various testers budgetary financial accounting reports are gathering for the audience. This part is not enough clear How diversity in accounting regulation impacts the business Diversity in accounting refers to differences in recording and using financial information; American businesses working with international corporations face challenges handling diversity when dealing with accounting principles. While many companies deal with the differences without interrupting business operation The budgetary effect for relationship of gathered qualities in bookkeeping comes when firms inaccuracy to pull as a rule meander holds in context of bookkeeping contrasts. A helpful business can show up, from each edge, to be a losing wind when the affiliations books are recalculated into figures utilizing masterminded general bookkeeping frameworks or strategies. Regardless of when inspectors are given the bookkeeping contrasts, many are hesitant to put everything out there when confronted with the capabilities in the meander portfolios. This explanation is not clear and you must provide an appropriate example How responsible accounting contributes to ethical and socially and culturally appropriate decision making Ethical Ethical social duty consolidates practices like paying specialists a sensible wage and getting grass-sustained meat from a near to cultivate disregarding the way that it costs you more than experiencing a national provider. Helpful exercises solidify giving things, associations or cash without altering for any lack by paying representatives less or charging clients more. You essentially give in light of an authentic sympathy toward your burger joint without any strings joined to endeavours that favoured viewpoint district occupants, for example, gaining kid auto seats for the contiguous patching centre to progress to unseasoned watchmen. Social Social responsibility is discovered into your budgetary approach by the cash you spare, for instance, through reusing instead of disposing of wrinkled cardboard, or the cash you get by supporting human expressions and get-togethers that attract after-theatre bistros to your foundation. Sans gluten menu things are another example of satisfying the get-togethers dietary needs while making an extra favourable position stream for your cafe.   Ok Culture Culture of adjust, regard and high great benchmarks all through your cafe by tolerating dependable procedures and system and placing them into well-ordered practice on each Horizontal, from association to dishwashers. Evaluate all zones of operation for conceivable changes, from where you buy your make to what you do with your waste. Look to those with a stake in your business, including operators, clients, providers and industry accomplices, for beneficial insights that meet high great gauges. Link them together Regard and high great benchmarks all through the company must have a dependable procedures and system and placing them into well-ordered practice on each Horizontal, from association to dishwashers. Need some effective and technical methods Need some training efforts and schedule for the freshers to understand accounting. Accountants must have mathematical skills. Recommendation must be your own vision It is concluded from the above discussion that the accounting in the business have their own roles and responsibilities in the business. Without the accounting system in any business, that cant be run successfully and smoothly.   References accounting. (n.d.). Retrieved from http://www.businessdictionary.com/definition/accounting.html accounting, m. (n.d.). Retrieved from http://www.allbusinessschools.com/accounting/common-questions/role-of-the-management-accountant/ accounting, r. (n.d.). Retrieved from http://www.yourarticlelibrary.com/accounting/purpose-and-characteristics-of-responsibility-accounting/52889/   Collier, P.M. (2015). introduction to accounting, Accounting for managers, Willey.ppt-17.

Data mining

This is an accounting calculation, followed by the application of a threshold. However, predicting the profitability of a new customer would be data mining. Dividing the customers off company according to their profitability. Yes, this is a data mining task because it requires data analysis to determine who the costumers are that brings more business to the company. Computing the total sales of the company. No, this is not a data mining task because there Is not analysis involve, this information can be pull out of any booking program. Sorting a student database based on student ID numbers.No, this Is not a data milling activity because sorting by ID numbers doesn't Involved any data mining task. This is a simple database query Predicting the future stock price of a company using historical records. Yes. We would attempt to create a model that can predict the continuous value of the stock price. This is an example of the area of data mining known as predictive modeling. We could use regression for this modeling, although researchers in many fields have developed a wide variety of techniques for predicting time series. Monitoring the heart rate of a patient for abnormalities. Yes.We would build a model of the normal behavior of heart rate and raise an alarm when an unusual heart behavior occurred. This would involve the area of data mining known as anomaly detection. This could also be considered as a classification problem If we had examples of both normal and abnormal heart behavior. For each of the following, identify the relevant data mining task(s): The Boston Celtic would like to approximate how many points their next opponent will score against them. A military intelligence officer is interested in learning about the captives proportions of Sunnis and Shies in a particular strategic region. A NORA defense computer must decide immediately whether a blip on the radar is a flick of geese or an incoming nuclear missile. A political strategist is seeking the b est groups to canvass for donations in particular county. A homeland security official would like to determine whether a certain sequence of financial and residence moves implies a tendency to terrorist acts. A Wall Street analyst has been asked to find out the expected change in stock price for a set of companies with similar price/earnings ratios.Question 3 For each of the following meetings, explain which phase in the CRISP-DIM process is represented: Managers want to know by next week whether deployment will take place. Therefore, analysts meet to discuss how useful and accurate their model is. This is the Evaluation phase in the CRISP-DIM process. In the evaluation phase the data mining analysts determine if the model and technique used meets business objectives established in the first phase. The data mining project manager meets with data warehousing manager to discuss how the data will be collected. This is theData Understanding phase in the CRISP-DIM process. The data wareh ouse is identified as a resource during the Business Understanding phase; however the actual data collection takes place during the Data Understanding Phase. In this phase data is collected and accessed from the resources listed and identified in the Business Understanding phase. The data mining consultant meets with the vice president for marketing, who says that he would like to move forward with customer relationship management. The main objective of business is to review during the Business Understanding Phase.So, therefore after the meeting it seems the data mining consultant gained success in convincing UP of marketing to provide approval for performing data mining on the customer relationship management system. The data mining project manager meets with the production line supervisor to discuss implementation of changes and improvements. The discussion of implementation of changes and improvements in the project whether specific improvements or process changes are required to ensure that all important aspects of the business are accounted is performed under the Evaluation Phase.The meeting held with business objective to collect and cleanse the data to ensure the quality of data. The analysts meet to discuss whether the neural network or decision tree model should be applied Question 4 [10 points] Describe the possible negative effects of proceeding directly to mine data that has not been preprocessed. Before data mining algorithms can be used, a target data set must be assembled. As data mining can only uncover patterns actually present in the data, the target data set must be large enough to contain these patterns while imagining concise enough to be mined within an acceptable time limit.A common source for data is a data mart or data warehouse. Pre-processing is essential to analyze the multivariate data sets before data mining. The target set is then cleaned. Data. Question 5 [1 5 points] Which of the three methods for handling missing values do you prefer? Which method is the most conservative and probably the safest, meaning that it fabricates the least amount of data? What are some drawbacks to this method? Methods for replacing missing field values with: User defined constants Means or modesRandom draws from the distribution of the variable Question 6 Describe the differences between the training set, test set, and validation set. The training set is used to build the model. This contains a set of data that has fricasseed target and predictor variables. Typically a hold-out dataset or test set is used to evaluate how well the model does with data outside the training set. The test set contains the fricasseed results data but they are not used when the test set data is run through the model until the end, when the fricasseed data are compared against the model results.The model is adjusted to minimize error on the test set. Another hold-out dataset or validation set is used to evaluate the adjusted model in step #2 where, a gain, the validation set data is run against the adjusted model and results compared to the unused fricasseed data. The training set (seen data) to build the model (determine its parameters) and the test set (unseen data) to measure its performance (holding the parameters constant). Sometimes, we also need a validation set to tune the model (e. G. , for pruning a decision tree). The validation set can't be used for testing (as it's not unseen). Data mining This is an accounting calculation, followed by the application of a threshold. However, predicting the profitability of a new customer would be data mining. Dividing the customers off company according to their profitability. Yes, this is a data mining task because it requires data analysis to determine who the costumers are that brings more business to the company. Computing the total sales of the company. No, this is not a data mining task because there Is not analysis involve, this information can be pull out of any booking program. Sorting a student database based on student ID numbers.No, this Is not a data milling activity because sorting by ID numbers doesn't Involved any data mining task. This is a simple database query Predicting the future stock price of a company using historical records. Yes. We would attempt to create a model that can predict the continuous value of the stock price. This is an example of the area of data mining known as predictive modeling. We could use regression for this modeling, although researchers in many fields have developed a wide variety of techniques for predicting time series. Monitoring the heart rate of a patient for abnormalities. Yes.We would build a model of the normal behavior of heart rate and raise an alarm when an unusual heart behavior occurred. This would involve the area of data mining known as anomaly detection. This could also be considered as a classification problem If we had examples of both normal and abnormal heart behavior. For each of the following, identify the relevant data mining task(s): The Boston Celtic would like to approximate how many points their next opponent will score against them. A military intelligence officer is interested in learning about the captives proportions of Sunnis and Shies in a particular strategic region. A NORA defense computer must decide immediately whether a blip on the radar is a flick of geese or an incoming nuclear missile. A political strategist is seeking the b est groups to canvass for donations in particular county. A homeland security official would like to determine whether a certain sequence of financial and residence moves implies a tendency to terrorist acts. A Wall Street analyst has been asked to find out the expected change in stock price for a set of companies with similar price/earnings ratios.Question 3 For each of the following meetings, explain which phase in the CRISP-DIM process is represented: Managers want to know by next week whether deployment will take place. Therefore, analysts meet to discuss how useful and accurate their model is. This is the Evaluation phase in the CRISP-DIM process. In the evaluation phase the data mining analysts determine if the model and technique used meets business objectives established in the first phase. The data mining project manager meets with data warehousing manager to discuss how the data will be collected. This is theData Understanding phase in the CRISP-DIM process. The data wareh ouse is identified as a resource during the Business Understanding phase; however the actual data collection takes place during the Data Understanding Phase. In this phase data is collected and accessed from the resources listed and identified in the Business Understanding phase. The data mining consultant meets with the vice president for marketing, who says that he would like to move forward with customer relationship management. The main objective of business is to review during the Business Understanding Phase.So, therefore after the meeting it seems the data mining consultant gained success in convincing UP of marketing to provide approval for performing data mining on the customer relationship management system. The data mining project manager meets with the production line supervisor to discuss implementation of changes and improvements. The discussion of implementation of changes and improvements in the project whether specific improvements or process changes are required to ensure that all important aspects of the business are accounted is performed under the Evaluation Phase.The meeting held with business objective to collect and cleanse the data to ensure the quality of data. The analysts meet to discuss whether the neural network or decision tree model should be applied Question 4 [10 points] Describe the possible negative effects of proceeding directly to mine data that has not been preprocessed. Before data mining algorithms can be used, a target data set must be assembled. As data mining can only uncover patterns actually present in the data, the target data set must be large enough to contain these patterns while imagining concise enough to be mined within an acceptable time limit.A common source for data is a data mart or data warehouse. Pre-processing is essential to analyze the multivariate data sets before data mining. The target set is then cleaned. Data. Question 5 [1 5 points] Which of the three methods for handling missing values do you prefer? Which method is the most conservative and probably the safest, meaning that it fabricates the least amount of data? What are some drawbacks to this method? Methods for replacing missing field values with: User defined constants Means or modesRandom draws from the distribution of the variable Question 6 Describe the differences between the training set, test set, and validation set. The training set is used to build the model. This contains a set of data that has fricasseed target and predictor variables. Typically a hold-out dataset or test set is used to evaluate how well the model does with data outside the training set. The test set contains the fricasseed results data but they are not used when the test set data is run through the model until the end, when the fricasseed data are compared against the model results.The model is adjusted to minimize error on the test set. Another hold-out dataset or validation set is used to evaluate the adjusted model in step #2 where, a gain, the validation set data is run against the adjusted model and results compared to the unused fricasseed data. The training set (seen data) to build the model (determine its parameters) and the test set (unseen data) to measure its performance (holding the parameters constant). Sometimes, we also need a validation set to tune the model (e. G. , for pruning a decision tree). The validation set can't be used for testing (as it's not unseen). Data Mining Determine the benefits of data mining to the businesses when employing 1. Predictive analytics to understand the behavior of customers Predictive analytics is business intelligence technology that produces a predictive score for each customer or other organizational element. Assigning these predictive scores is the job of a predictive model, which has, in turn been trained over your data, learning from the experience of your organization. Predictive analytics optimizes marketing campaigns and website behavior to increase customer responses, conversions and clicks, and to decrease churn. Each customer's predictive score informs actions to be taken with that customer. 1. Associations discovery in products sold to customers The way in which companies interact with their customers has changed dramatically over the past few years. A customer's continuing business is no longer guaranteed. As a result, companies have found that they need to understand their customers better, and to quickly respond to their wants and needs. In addition, the time frame in which these responses need to be made has been shrinking. It is no longer possible to wait until the signs of customer dissatisfaction are obvious before action must be taken. To succeed, companies must be proactive and anticipate what a customer desires. For an example in the old days, the storekeepers would simply keep track of all of their customers in their heads, and would know what to do when a customer walked into the store. Today’ store associates face a much more complex situation, more customers, more products, more competitors, and less time to react means that understanding your customers is now much harder to do. A number of forces are working together to increase the complexity of customer relationships, such as compressed marketing cycles, increased marketing costs, and a stream of new product offers. There are many kinds of models, such as linear formulas and business rules. And, for each kind of model, there are all the weights or rules or other mechanics that determine precisely how the predictors are combined. In fact, there are so many choices, it is literally impossible for a person to try them all and find the best one. Predictive analytics is data mining technology that uses the company’s customer data to automatically build a predictive model specialized for the business. This process learns from the organization's collective experience by leveraging the existing logs of customer purchases, behavior and demographics. The wisdom gained is encoded as the predictive model itself. Predictive modeling software has computer science at its core, undertaking a mixture of number crunching, trial, and error. 2. Web mining to discover business intelligence from Web customers The fast business growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to prefer from a number of alternatives, the business community has realized the essential of intelligent marketing strategies and relationship management. Web servers record and accumulate data about user relations whenever requirements for resources are received. Analy zing the Web access logs can help understand the user behavior and the web structure. From the business and applications point of view, knowledge obtained from the web usage patterns could be directly applied to efficiently manage activities correlated to e-business, e-services and e-education. Accurate web usage information could help to attract new customers, retain current customers, improve cross marketing/sales, effectiveness of promotional campaigns, tracking leaving customers etc. The usage information can be exploited to improve the performance of Web servers by developing proper perfecting and caching strategies so as to decrease the server response time. User profiles could be built by combining users? navigation paths with other data features, such as page viewing time, hyperlink structure, and page content†, according to Sonal Tiwari. 3. Clustering to find related customer information Clustering is a typical unsupervised learning technique for grouping similar data points. A clustering algorithm assigns a large number of data points to a smaller number of groups such that data points in the same group share the same properties while, in different groups, they are dissimilar. Clustering has many applications, including part family formation for group technology, image segmentation, information retrieval, web pages grouping, market segmentation, and scientific and engineering analysis. Many clustering methods have been proposed and they can be broadly classified into four categories such as partitioning methods, hierarchical methods, density-based methods and grid-based methods. Customer clustering is the most important data mining methodologies used in marketing and customer relationship management (CRM). Customer clustering would use customer-purchase transaction data to track buying behavior and create strategic business initiatives. Companies want to keep high-profit, high-value, and low-risk customers. This cluster typically represents the 10 to 20 percent of customers who create 50 to 80 percent of a company's profits. A company would not want to lose these customers, and the strategic initiative for the segment is obviously retention. A low-profit, high-value, and low-risk customer segment is also an attractive one, and the obvious goal here would be to increase profitability for this segment. Cross-selling (selling new products) and up-selling (selling more of what customers currently buy) to this segment are the marketing initiatives of choice. Assess the reliability of the data mining algorithms. Decide if they can be trusted and predict the errors they are likely to produce. Most methods for validating a data-mining model do not answer business questions directly, but provide the metrics that can be used to guide a business or development decision. There is no comprehensive rule that can tell you when a model is good enough, or when you have enough data. Accuracy is a measure of how well the model correlates an outcome with the attributes in the data that has been provided. There are various measures of accuracy, but all measures of accuracy are dependent on the data that is used. In reality, values might be missing or approximate, or the data might have been changed by multiple processes. Particularly in the phase of exploration and development, you might decide to accept a certain amount of error in the data, especially if the data is fairly uniform in its characteristics. For example, a model that predicts sales for a particular store based on past sales can be strongly correlated and very accurate, even if that store consistently used the wrong accounting method. Therefore, measurements of accuracy must be balanced by assessments of reliability. Reliability assesses the way that a data-mining model performs on different data sets. A data-mining model is reliable if it generates the same type of predictions or finds the same general kinds of patterns egardless of the test data that is supplied. For example, the model that you would use to generate for the store that used the wrong accounting method would not generalize well to other stores, and therefore would not be reliable. Analyze privacy concerns raised by the collection of personal data for mining purposes. 1. Choose and describe three (3) concerns raised by consumers. Recent surveys on privacy show a great concern about the use of personal data for purposes other than the one for which data has been collected. The handling of misinformation can cause serious and long-term damage, so individuals should be able challenge the correctness of data about themselves, such as personal records. The last concern is granulated access to personal information, such as personal information about someone’s health when applying for a job. 2. Decide if each of these concerns is valid and explain your decision for each. These concerns are valid, the first concerned mentioned caused an extreme case to occurred in 1989, collecting over $16 million USD by selling the driver-license data from 19. million Californian residents, the Department of Motor Vehicles in California revised its data selling policy after Robert Brado used their services to obtain the address of actress Rebecca Schaeffer and later killed her in her apartment. While it is very unlikely that KDDM tools will reveal directly precise confidential data, the exploratory Knowledge Discovery and Data Mining (KDDM), tools may correlate or dis close confidential, sensitive facts about individuals resulting in a significant reduction of possibilities. The second concern is valid due to incident happening in Washington; Cablevision fired an employee James Russell Wiggings, on the basis of information obtained from Equifax, Atlanta, about Wiggings' conviction for cocaine possession; the information was actually about James Ray Wiggings, and the case ended up in court. This illustrates a serious issue in defining property of the data containing personal records. The third issue is For example, employers are obliged to perform a background check when hiring a worker but it is widely accepted that information about diet and exercise habits should not affect hiring decisions. . Describe how each concern is being allayed. KDDM revitalizes some issues and possess new threats to privacy. Some of these can be directly attributed to the fact that this powerful technique may enable the correlation of separate data sets in other to significantly reduce the possible values of private information. Other can be more attributed to the interpretati on, application and actions taken from the inferences obtain with the tools. While this raises concerns, there is a body of knowledge in the field of statistical databases that could potentially be extended and adapted to develop new techniques to balance the rights to privacy and the needs for knowledge and analysis of large volumes of information. Some of these new privacy protection methods are emerging as the application of KDD tools moves to more controversial datasets. Provide at least three (3) examples where businesses have used predictive analysis to gain a competitive advantage and evaluate the effectiveness of each business’s strategy. The first advantage analysis helps when it comes to validity of a product by making a distinction between the positioning of a product and its ability to satisfy customer requirements. Another important attributes include ease of use, innovation, how well the product integrates with other technologies that customers need. The second advantage is the technology provides to customers. Even if a product is well designed, it must be able to help businesses achieve their business goals. Goals range from gaining insight about customers in order to be more competitive, to using the technology to increase revenue. A key attribute that is measured in this dimension is how well the product supports companies in meeting their objectives. The third advantage is the strength of the company’s strategy. It is not enough to simply have a good vision; a company must also have a well-designed road map that can support this vision. Vision attributes also include more tactical aspects of the company’s strategy such as a technology platform that can scale, well-articulated messaging, and positioning. A key component of this dimension is clarity: it must be clear what business problem the company is solving for which customer.ReferencesAlexander, D. (2012). Data Mining. Retrieved from: http://www.laits.utexas.edu/~anorman/BUS.FOR/course.mat/Alex/#8Josh, K. (2012). Analysis of Data Mining Algorithms. Retrieved from: http://www-users.cs.umn.edu/~desikan/research/dataminingoverview.html Exforsys. (2006). Execution for System: Connection between Data Mining and Customer Interaction. Retrieved from: http://www.exforsys.com/tutorials/data-mining/the-connection-between-data-mining-and-customer-interaction.html Frand, J. (1996). Data Mining: What is Data Mining? Retrieved from: http://www.anderson.ucla.edu/faculty/jason.frand/teacher/technologies/palace/index.htm Pupo, E. (2010). HIMSS News: Privacy and Security Concerns in Data Mining. Retrieved from: http://www.himss.org/ASP/ContentRedirector.asp?type=HIMSSNewsItem&ContentId=73526 Stein, J. (2011). Data Mining: How Companies Now Know Everything About You. Retrieved from: http://www.time.com/time/magazine/article/0,9171,2058205,00.html#ixzz25MwYNhuh

Sample Letter Business Principles - 1449 Words

Christian Lett Tylar Richmond Professor Karen Koenig BMGT 1010:001 Business Principles 9 December 2015 Hello, my name is Christian Lett, and I am speaking on behalf of myself, and my two business partners, Tylar Richmond, and Aaliyah Rose. I know you’re wondering what our business consists of. Well, we are a retail boutique who only offers high end fashion. High end fashion is apparel that is attended for people who are looking for great quality, and willing to pay a lot of money for a desired piece. Our boutique goes by the name of Diversity. We go by the name â€Å"diversity† simply because, we are a boutique who sales a variety of high end clothing brands. This variety ranging from brands like; Y-3, Kanye West (Season 1, 2, etc.),†¦show more content†¦She is so good, we only rely on her, to maintain this role. Last but not least, we have Aaliyah Rose. Aaliyah Rose roles is to manage all social media sites, marketing schemes/planning, blogging, and etc. Aaliyah strives to make sure employees post new items, and upcoming releases at least twice a day on the store s Instagram page. This technique is our only social networking plan, and it is proven to work. For we have celebrities, and big supporters constantly repost our new release items. Now, out of all roles Aaliyah’s biggest role is to tell the world Diversity s story. Telling a story is something that will always convey an individual that loves fashion, to certain clothing brands. For example, what Jerry Lorenzo has done with the brand, Fear of God is truly telling a story. â€Å"Los Angeles-based label Fear of God is defined by an interesting juxtaposition; a bricolage of inspiration that contrasts with simple designs, creating the brand’s signature aesthetic. While the garments tell a story themselves, it is Fear of God’s most recent lookbook that fully breathed life into the creations of owner Jerry Lorenzo, which enlightened fans on the themes that are driving his creative process. Above all else, Fear of God is a culmination of Lorenzo†™s meditation on grunge, hip-hop, and fashion cultures, manifesting through subtle silhouettes and minimal design (Complex.com/style).† Lorenzo’s

A Controversial Policy For Combat Marital Rape - 2146 Words

A Proposed Policy to Combat Marital Rape Marital rape, a rape in which the perpetrator is the victim’s spouse, is an underestimated, underreported reality that effects 10-14% of all women in the U.S (Basile, 2011). Although the U.S. government has made strides in sexual violence laws in the past few years, marital rape policies still have a long way to go. The instance of marital rape should be combatted by the U.S. Federal Government with a multifaceted plan. First, the U.S. federal government should offer states incentive to develop laws where no distinction is made between marital rape and non-marital rape in terms of elements of the crime, statute of limitations, and length of the sentence. Second, the Federal Government should ratify the Declaration to Eliminate Violence Against Women. Third, the federal government should completely eliminate all funds for private abstinence only education. Fourth, the federal government should offer additional incentives to states who have rape education programs in their publi c high schools. A Note on the instance of Marital Rape While the marital rape experience extends to men as well, women are disproportionately affected by this form of sexual violence (Bryant-Davis, 2011). Additionally, there is very little evidence that rape occurs in the context of homosexual relationships (Bryant-Davis, 2011). This proposal will mainly address policies that are focused on alleviating marital rape for women in heterosexual marriages, since theyShow MoreRelatedHunyango Sa Bato - Abdon Balde Jr.6135 Words   |  25 Pages in any setting, including but not limited to home  and work.[41] Marital rape, also known as  spousal rape, is non-consensual  sex in which the perpetrator is the victim s spouse. As such, it is a form of  partner rape, of domestic violence, and of  sexual abuse. In the  US  spousal rape is illegal in all 50 states.[42][43]  In  Canada, spousal rape was outlawed in 1983, when several legal changes were made, including changing the rape statute to  sexual assault, and making the laws gender neutral.[44]  CriminalizationRead MoreIntimate Partner Violence And Sexual Abuse2150 Words   |  9 PagesIntimate partner violence is a major public health concern in the United States that often results in terrible consequences for victims, families, and communities at large. According to the CDC, â€Å"[i]n an average minute, about 24 people are victims of rape, physical violence, or stalking by an intimate partner†. Furthermore, The Federal Bureau of Investigation estimates that intimate partners account for 42% of female murder s in the United States. In this paper This paper I will address a few thingsRead MoreHow the Role of Women in Spain Changed Since the Second Republic to the Present3603 Words   |  15 Pages1936 were highly repressive. Work undertaken by them was hard, long and poorly paid and when improvements did occur, they benefitted men predominantly. This period also introduced reforms such as maternity compensation which were embedded in the policies of most progressive groups, such as within the region of Catalonia. Thus setting it as an important progression towards the equality of women in Spanish society, through the improvement of their roles within the workplace. With the outbreak ofRead MoreEssay on The Concept of Community3176 Words   |  13 Pagesand beard is also a means of recognition. To distinguish between a homosexual and heterosexual, earrings play a public figure as it discloses the individual sexual participation. A different symbolic group that is often recognized is the ‘ring as a marital symbol’ group. The finger at which the ring is placed also play different role. It speaks for the individual if he is married, divorced, widowed or engaged. These symbolic values and their representation are crucial by events to individual identityRead MoreOne Significant Change That Has Occurred in the World Between 1900 and 2005. Explain the Impact This Change Has Made on Our Lives and Why It Is an Important Change.163893 Words   |  656 Pagescolonies after 1870 as a predictable culmination of the long nineteenth century, which was ushered in by the industrial and political revolutions of the late 1700s. But at the same time, without serious attention to the processes and misguided policies that led to decades of agrarian and industrial depression from the late 1860s to the 1890s, as well as the social tensions and political rivalries that generated and were in turn fed by imperialist expansionism, one cannot begin to comprehend the