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Friday, January 4, 2019

How Much Is a Database Worth Essay

1) Many small line proprietors project found it financially profitable to purchase their own building. As sensation owner remarked upon his incommodement, We did well with the line of credit, entirely we crap our genuine m unmatchedy by buying the building. Explain why this world power be so. There are three reasons why a small business owner readiness want to own the building in which they operate. First, the cost of moving just ab come on is expensive. Some small business magnate hire great equipment to operate and complete a walk step to the fore might fulfil months. This would interrupt the flow of the business and be sick a dent in profits. FlexTime is a comfortably example.FlexTime, a gym has an get down of work forbidden machines that would be impractical to move over night. Most all those machines lack to be taken a fortune and reassembled which is costly. The bet on reason is that historically, the price of commercial real ground has g nonpareil u p. Which means spot the owner is paying off his owe the value of the building get come forth be increasing. Finally there is very midget commercial real terra firma organism developed. Due to this fact, va merchant shipcy order give birth dropped and rents are rising. According to Conerly (2011), Very smaller new construction has been completed, and what has been built is roughly all owner-occupied or build-to-suit. virtually no speculative real estate has been constructed this past year. Thus when the economy improves, rents will rise immediately (p. 1). 2) To what extent does the dynamic you identified in your answer to spot 1 pertain to a selective informationbase? Do you think it samely that in 2050, many small businesspeople will retire and make statements equivalent, We did well with the business but we made our real money from the infobase we generated? why or why not? In what ways is real estate una wish well from database data? Are these differences signi ficant in your answer? Three times Pulitzer pry winner Thomas L. Friedman wrote a admit titled The World is Flat. Friedman maintains that due to the step-up in the use of technology the planetary competitive playing field is world leveled (p. 8). Now, in 2012 it is evident that his theory is true. In 2050, small business owners will make the above statement because like expound about real estate in question one, the owner of the business whitethorn dole out his database upon retirement. Along with real estate, data or information does not deprecate in value. There are almost differences. Some databases meet been collecting central data, related to guests, for years.This information could prove to be to a greater extent precious than real estate to a competitor in ones respective industry. Information on customers is priceless. A detailed, in depth database is slavish in contracting out customer needs, habits and reactions to discomforts in the market and can best ow immensely to a small business owners success. 3) Suppose you had a national database of bookman data. Assume your database includes the name, email forebode, university, grade level, and major for each student. come across five companies that would find that data valuable. And apologise how they might use it.Corporate gyms like La fitness and Lifetime fitness would find the student records named above useful. using the name field they could figure out if the student is male or female. From there they could decide whether to offer jazzercise or fisticuffs classes. Based on what university they belong to the gym can figure out if they have a location in that reach to pursue the student. Using e-mail address they could send out promotion deals. Chegg. com is an online troupe that buys, sells and rents student textbooks. Using the fields name, major and email address Chegg. om could effectively come out students in certain majors and consequently rid their textbooks more e fficiently. Major hotels would be all over a student database. Though the university field they could figure out what lands to hindquarters which universities. For example, hotels in Florida are seeming to send information to students in universities on the east coast, where as Mexico and California hotels might stick to universities a little more west. Hotels in Vegas could use student records like grade level to find out if students are of age. It would be hard to sell Vegas to a student under aged.Delta Airlines would find the information equally valuable because they could foster flights based on universitys holiday schedules along with student names and emails. BikesDirect. com is an online friendship that allows you to buy, sell and rent bikes. A large number of students ride bikes and for a follow like this a student database can be instrumental in their success or expansion. Figuring out which university to target is important. For a bike company they might want to ta rget larger campuses. finished the name field they could figure out gender and email is a good place to send promotions and receive rders. 4) string a product or proceeds that you could develop that would induce students to provide the data in item 3. Students in need of tutoring would have to go forth the germane(predicate) data. If one were to set up a tutoring attend that connects all the universities to one database would be useful. From a students email deem they could request a tutoring session. The university the student provides would be relevant data because the online tutoring service would have to contact one of its tutors in that area so they could easily meet.They would have to supply grade level and major so that the database can match them with a relevant tutor. 5) Considering your answers to items 1 through 4, identify 2 organizations in your community that could generate a database that would potentially be more valuable than the organization itself. Conside r business, but in addition think about social and political science offices. If the Department of Motor Vehicles lost its database it would be catastrophic to the segment and our community.The DMVs database is massive and contains all kinds of records that are important to separate government agencies as well. The police department collaborates with the DMV on a daily butt when dealing with traffic situations and suspended licenses. another(prenominal) organization or agency that has an long database is the Department of beat back. They store information like the amount of full time and part time employees, average wage. The Department of Labors data is instrumental in figuring out the median income, unemployment rates and the overall direction of the economy.

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