Thursday, November 28, 2019

Precision Buying, Merchandising and Marketing at Sears free essay sample

What were the drivers of SPRS? Sears started with 18 data centers, originally consisting of ten geographical regions and eight departmental centers During 1980 Sears started loosing market share. One of their response strategies was restructuring its mall based stores. When Sears reorganized, only seven geographic regions remained. This reduction produced numerous mismatches in query results and required multiple queries to produce answers to seemingly simple problems. Summarized data made it difficult to conduct analysis. Finally, errors were virtually inevitable when calculations were based on data from several sources. This forced Sears to implement SPRS How did the data warehouse solve Sears’ problems? The single sales data warehouse replaced eighteen obsolete legacy sales reporting systems. The single repository enabled removal of redundant and conflicting information with following benefits: †¢ Sears now fine-tunes its buying, merchandising and marketing strategies with previously unattainable precision. †¢ SPRS allows authorized employees to view necessary information from a multidimensional perspective (by region, district, store, product line and individual item). We will write a custom essay sample on Precision Buying, Merchandising and Marketing at Sears or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page †¢ Sears managers can monitor examine and adjust inventory quantities, merchandising and order placement along with myriad other variables, so they can respond quickly to environmental changes. Why was it beneficial to integrate the customers’ database with SPRS? Sears is able to coordinate all of their customer records. The benefit is the ability to offer customized sales and targeted discounts to improve customer sales and satisfaction. The testimony to this is Sears retailing profit have climbed more than 20% annually since SPRS was implemented. How could RFID change Sears’s operations? With the aid of RFID implementation Sears can reduce inventory, speed up it operations and simplify data storage.

Sunday, November 24, 2019

NIcholas Coppernicus essays

NIcholas Coppernicus essays Nicolaus Copernicus was a Polish astronomer, best known for the astronomical theory that the sun is stationary and Earth, spinning on its axis once daily, revolves around the sun annually. He was very intelligent and was educated at various universities. If Copernicus hadnt challenged Pltolmys theory, it would have affected us in many ways. Space travel, satellites, and weather prediction would not be as advanced. Nicolaus Copernicus was born on February 19, 1473 in Torun, Poland (Wood 87). He was born into a family of merchants. Copernicus uncle, Bishop Lukasz Watzerode, made sure his nephew obtained a solid education. In 1491 Copernicus enrolled in Jagiellonian University. From there he studied liberal arts for four years but received no degree. Like many others he went to Italy to study medicine and law (Smith 1039). Before he left, his uncle appointed him a church administrator in Fronbork. He then used the money from there to pay for school. Copernicus began to study canon lay at the University of Bologna in 1497. At that time he, was living at the home of mathematics professor, Domenico Maria de Novara. Copernicus astronomical and geographical interests were greatly inspired by Novara (Westman). Around 1500 Copernicus gave speeches on astronomy to people in Rome. Later that year he gained permission to study medicine at Padua University. Copernicus, without completing his medical studies, received a doctorate in canon law from Ferrara in 1503, after which he returned to Poland to take up his administrative duties (Smith 1039). From 1503 to 1510, Copernicus stayed in his uncles bishop palace in Lidzbark Warmiski. From there he published his first book, a Latin translation of letters on morals by a Byzantine writer. Between the times of 1507 and 1515, he completed a short astronomical book. It was not published until the 19th century (Wood 87). ...

Thursday, November 21, 2019

Econometrics formative assignment Research Paper

Econometrics formative assignment - Research Paper Example -0.067 31.280 0.260 *|. | *|. | 28 -0.079 -0.077 32.913 0.239 .|. | .|. | 29 -0.020 -0.019 33.016 0.277 .|. | .|. | 30 0.029 -0.015 33.237 0.312 .|. | .|. | 31 -0.029 -0.035 33.462 0.349 .|* | .|** | 32 0.183 0.197 42.344 0.104 .|. | .|. | 33 -0.019 -0.013 42.444 0.126 .|. | .|. | 34 0.027 0.042 42.636 0.147 .|. | .|. | 35 -0.052 -0.047 43.368 0.157 .|. | *|. | 36 0.019 -0.072 43.470 0.183 Correlogram for Vodafone Date: 08/17/09 Time: 21:05 Sample: 1/01/1990 12/31/2008 Included observations: 224 Autocorrelation Partial Correlation ACPAC Q-Stat Prob .|. | .|. | 1 0.002 0.002 0.0007 0.979 .|. | .|. | 2 0.019 0.019 0.0826 0.960 .|* | .|* | 3 0.182 0.182 7.6489 0.054 *|. | *|. | 4 -0.061 -0.063 8.4992 0.075 .|* | .|* | 5 0.146 0.145 13.451 0.019 .|. | .|. | 6 0.015 -0.021 13.502 0.036 .|* | .|* | 7 0.088 0.116 15.322 0.032 .|* | .|* | 8 0.132 0.076 19.422 0.013 .|. | .|. | 9 -0.027 -0.009 19.596 0.021 .|. | .|. | 10 0.048 -0.006 20.139 0.028 .|* | .|* | 11 0.153 0.140 25.713 0.007 .|* | .|* | 12 0.115 0.116 28.881 0.004 .|. | .|. | 13 0.006 -0.033 28.889 0.007 .|. | .|. | 14 0.009 -0.041 28.907 0.011 .|. | *|. | 15 -0.032 -0.083 29.153 0.015 .|. | .|....The two vertical lines in the first column enclose the 95% confidence interval. Id k that extends past the broken line, reject the null hypothesis that k = 0 at 5% level of significance. Otherwise, do not reject the null hypothesis" (Danao). In this particular tests, the result for BARC, VOD and FTALLSH show that we do not reject the null hypothesis that k = 0. But for the GSK graph, the result is opposite. We have necessary proof to reject the null hypothesis. Decision Rule: "If the absolute value of the ADF Test Statistic is less than the value of the McKinnon Critical Values at the chosen level of significance, then the series has a unit root and is therefore non-stationary.