Evaluation Of A Company 's Application Software Essay

It has recently come to my attention that Target Co. utilizes data mining to extract a wide spectrum of information about its customers by accumulating, analyzing and storing data about customer purchases. While I understand that this practice enables Target Co. to simultaneously deliver individually targeted advertisements across its diverse customer groupings, thereby increasing the potential for sales and improving customer retention, I also understand that large amounts of data unearthed by data mining can be manipulated to uncover hidden purchasing patterns to predict and shape future purchase decisions. Therefore, although there are significant benefits to using data mining, there are also serious costs associated with data mining that

It became an issue for consumer, and they felt uncomfortable due to companies invaded consumers privacy without their consent. Another issue regarding data mining is there no clear policies around how the company uses data once they have collected the information. After Target received negative publicity regarding its original data mining approach, they change their strategy by mixing all their ads, so it not that obvious that they were spying on them. It makes customers’ to assume that everyone else gets same coupons and ads. Data mining has given Target awareness into the relationship between product sales and online reviews. Target retailers identify guests how write reviews, examining their history of purchasing and invited to write review on their products. This program was highly successful, leading Target to obtain incremental reviews and increase sales of those key products. More importantly, data mining has empowered companies to find new opportunities for growth, make better decisions to succeed business goals and safe money. The retailer industry utilizes data mining and customer analytics to support customer decisions. Exploring how collected data can be manipulated to identify customers buying patterns and increase profitability is a growing business

Data mining software allows users to analyze large databases to solve business decision problems. Data mining is, in some ways, an extension of statistics, with a few

In today’s society businesses accumulate all the data they can gather into the data warehouse, from which they can do data mining. This means that when we go to the grocery store and use our “saver card”, to get the tiny percent off, that store automatically tracks what you purchased and then enters it into their data warehouse. This allows the businesses to later go through that information and look for particular trends, seeing what products are popular what time of year, and as well as try figure what would we most likely to purchase. The art of looking through the data warehouse is referred to as data mining.

1) Data mining is a way for companies to develop business intelligence from their data to gain a better understanding of their customers and operations and to solve complex organizational problems.

Data Mining, a sub-branch of computer science, involving statistics, methods and calculations to find patterns in large amount of data sets, and database systems. Generally, data mining is the process to examine data from different aspects and summarizing it into meaningful information. Data mining techniques depict actions and future trends, allowing any individual to make better and knowledge-driven decisions.[1][2]

Data mining can aid direct marketers by providing them with useful and accurate trends about

mistakes.  This type of algorithm allows businesses to test all sorts of situations and scenarios it

In this paper, the author will attempt to define data analytics in general and provide a brief overview of the evolution of utilizing data analytics in business. Next, analyze the main advantages and disadvantages of using data analytics within the industry or company that you have chosen. Determine the fundamental obstacles or challenges that business management in general must overcome in order to implement data analytics. Next, suggest a strategy that business management could use to overcome the obstacles or challenges in question. Provide a rationale. Analyze the overall manner in which data analytics transformed the industry or company you selected with regard to customer responsiveness and satisfaction. Speculate on the trend of using data analytics for the chosen industry or company in the next ten (10) years. Next, determine at least one (1) additional type of data that one could collect by using data analytics. Provide a rationale for the outcome.

it is useful to use this criterion), dysfunctional, or both The criterion for selecting off-the-shelf software which presented in this chapter was: cost, functionality, vendor support, viability of vendor, flexibility, documentation, response time, and ease of installation. I believe that we can use other criteria for choosing off-the-shelf software in the real world is "System Usability". This criterion concentrate on users in the organization, by making investigation on the packages that they used and the new software packages this criteria can detect the gap between the two software which will reflect how they will interact with new software and decrease problems as less as possible. In the other hand, the converting process from using old software to new one will not take big effect since the users are fully understood the current software package. And we can summary some of measures used in this criterion: Graphical User Interface (GUI). The sequence in solving problems. The sequence in generation reports. I/O interaction.

While it's also described as methods for enhancing ease-of-use during the process of design, usability is also defined as the quality attribute that evaluates how easier it is to utilize user interfaces. Together with utility, usability is regarded as a significant element that determines whether something is useful. As an essential quality attribute, utility consists of five major components i.e. efficiency, memorability, learnability, errors, and satisfaction. In relation to the internet, usability is an essential factor for survival since people will leave a website as long as it's difficult to use. Some of the most vital aspects regarding usability include the appropriate criteria for measuring it, responsible people to make usability judgments, and resolution of usability disagreements.

The similar software will be procured through public procurement, and users will be tested on the platform, which are going to avail and offer the services. Then they will be inter-viewed again to know their viewpoints on the platform.

The rest of this paper is organized in the following way. Section 2 determines the place of usability among other software quality characteristics. The usability evaluation approaches are considered

The teams must also research software applications and decide which systems will need different software. The teams need to look into licensing and implementing services. If the team chooses to buy the package rather than build, they need to consider which applications will come with the package. Below is the application software required for each system.

It is important that the software to be used must satisfy the flow of business activities, the set-up of the establishment so as to minimize expenses and maximize profit and to avoid incurring unnecessary expense add-ups.