A PROJECT REPORT ON “CUSTOMER SATISFACTION TOWARDS NESTLE PROJECTS” Submitted to Punjab Technical University in partial fulfillment of the requirement for the award of MASTER OF BUSINESS ADMINISTRATION SUBMITTED BY: sartaj ahmad pala M.B.A 4th sem. Roll no: 81403317015 ACADEMIC SESSION 2008-2010
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Pfizer find out that their worker spends more time on business research and data analysis to the creation of documents and other routine support like Surfing and making PowerPoint and also spending so much time on menial tasks rather than knowledge work. The average Pfizer employee was spending 20 percent to 40 percent of his or her time on supporting work(creating documents‚ typing notes‚ doing research‚ manipulating data‚ scheduling meetings) and only 60 percent to 80 percent on knowledge work(
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For this assessment a rational of a researchable issue‚ which impacts on professional practice is required. The rational will discuss the methodology and research methods used‚ analysis of data‚ conclusion of findings and make recommendations for future improvements. The research question asked “will a humanistic approach to teaching lead to better student performance when presenting project work within foundation art and design”. Art
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Nadine Khoury 201510210 Models for Decision Making DCSN 300 Competing on Analytics by Thomas H. Davenport Analytics is the ability to collect and analyze data through a systematic approach with the objective to make the best decisions in a business. Due to its passed proven capacities and its huge potential to make a difference‚ Analytics has become much more than a tool: it is a “strategic weapon” in today’s Business context. Is Analytics a key element to success in Business today? Analytics is
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the weather data (in weather.arff). For test options‚ first choose "Use training set"‚ then choose "Percentage Split" using default 66% percentage split. Report model percent error rate. ZeroR (majority class) OneR Naive Bayes Simple J4.8 C. Which of these classifiers are you more likely to trust when determining whether to play? Why? D. What can you say about accuracy when using training set data and when using a separate percentage to train? Assignment 2: Preparing the data and mining it
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free competition. This paper investigates whether this law holds or not. The analysis is based on 57 countries from all over the world. The data consists of six goods which are coke‚ rice‚ sugar‚ gasoline‚ a movie or theatre ticket and the perfume “Amor Amor” from Cacharel. Firstly the theory of the Law of One Price will be briefly explained. Secondly the prices of each product are compared within the countries in the data analyses. Finally‚ a conclusion is made out of the results and gives an answer
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Demand Forecasting. [Other Resource] Demand Forecasting System. ￭ Constructing Demand Forecasting System. 1. Determine the information that needs to be forecasted. ․ This includes defining the source of the historical data to be provided and the periods over which the data will be collected. 2. Assign responsibility for the forecast to a person which performance will be measured on the accuracy of actual sales to the forecast. 3. Setup forecast system parameters : ․ Forecast horizon.
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References: 1. Karen‚ K. 2009. 10 Most Common Uses of the Internet. http://ezinearticles.com/?10-Most-Common-Uses-of-the-Internet&id=3086972 2. Website - Wikipedia‚ the free encyclopedia. en.wikipedia.org/wiki/Website. Retrieved 2014-08-12. 3. The Importance of Alumni Relations - Supporting Education. www.supportingeducation.org/2013/01/10/importance-alumni-relations/. Retrieved 2014-08-12. http://prezi.com/qaby0xga8u-d/alumni-tracking-system-of/ Introduction Websites become more
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apply this method to lots of fields such as banking data analysis‚ investment forecasting‚ inventory controlling and so on. This paper shows us a practical banking credit card example using Holt-Winter method in Java programming for data forecasting. The reason we use Holt-Winter is that this method is simple while generally works well in practice‚ and is particularly suitable for producing short-term forecasts for sales or demand time-series data. Theorem Xt(1)= Lt+ Tt+ It-p+1 Xt(h)= Lt+ hTt+
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Groupon has built systems for merchants to track deal performance and analytics for demographic data and capacity. Groupon has also been spending to prevent counterfeit coupons by issuing the redeemable coupons with unique identifiers. Also‚ Groupon could use data analytics and business intelligence to collect and analyze the customer data. They also can use the predictive analysis techniques and tool on these data to determine the buying trend and give appropriate discounts to customers. I strongly
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