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Improvement Project of Science Construction CS

Abstract Science Construction’s business is in planning, developing and building road projects. The major of its clients are municipalities, city governments, and other public sector entities. While the bankruptcy rates for these clients is very low, when economic downturns happen, their ability to pay in a timely fashion also suffers. This leads to businesses such as Science Construction needing to take on additional debt and to find creative methods in order to stay afloat during times of recession. Methods such as selling accounts receivables at discounted rates and taking larger lines of credit through banks and other lending institutions are some of the ways organizations can remain viable when their cash inflows have turned into a trickle. Science Construction is asking the Turkish Courts to postpone their bankruptcy proceedings for a year while they attempt to restructure. Through this, suggestions such as forcing shareholders to pay their debt to the organization, gaining credi
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Define and differentiate between data, information, and knowledge:

Define and differentiate between data, information, and knowledge:  Along with the physical hardware and the software used by computers, "data" is the third component of an "information system". (Bourgeois. Information Systems for Business and Beyond. Page 39).  Data is raw, random, unorganised facts that need to be processed; and could be considered useless until such a time that it is organised. Once data is processed, organised or, structured in a given context it starts to become useful and relevant. At this stage, we can call it "information". The information being shared or presented is often referred to as a "Database", and multiple databases can share information within networks and "Relational Databases", which are the most widely used form of databases.  The information itself could again be considered meaningless, as it remains static and one dimensional. Only once the information is presented in the right context or with par
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Differences between data, information, and knowledge

In the corporate world, we have always heard words such as Data, Information, and Knowledge. Often used as synonyms, they do not have the same meaning. Data are understood differently in different sectors. In the basic form, data are different symbols and characters whose meaning only becomes clear when they connect with context. Collecting and measuring observations generates data.(Mies, 2017). Data reaches a more complex level and becomes information by integrating them into a context. The information provides expertise about facts or persons. As Stefan Mies said, for example, The information about a date of birth is not totally completed because the value s still little when we don't know which person it belongs. And as soon as we add more information like the name, region, and others,  the linked information creates knowledge about a person. (Mies, 2017). The knowledge, in this case, will describe the collected information available on a particular fact or person that could inf
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Discuss knowledge can contribute to organizational competitive advantage.

Data is information in the raw form, which is the initial fact, without any modification or placing in a particular frame that makes it important and valuable (Gallaugher, 2015). In other words, the data is considered knowledge or information, but in its first position without any modification or addition. The data are usually in the form of numbers, symbols, words, pictures or phrases that are not modified and have no treatment or meaning, making them unrelated to each other. Information is the output generated from the system after entering the data. Therefore, information can be defined as a quantity of data that has been organized and coordinated in a context that makes data valuable and becomes useful in decision making (Gallaugher, 2015). It is a synthesis that has been formulated to give an appropriate meaning to the benefit it is used for. The information must be homogenous, reflecting non-conflicted ideas and concepts . Knowledge is the result of data and information. It can b
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Discuss the role of data and data management solutions in organizational decision making.

Define and differentiate between data, information, and knowledge.  Discuss how each can contribute to organizational competitive advantage. Information System processes the inputs and generates outputs that are sent to the user or to other systems. A feedback mechanism that controls the operation of a business. Data   are raw facts and elementary descriptions of things, events, activities, and transactions that are captured, recorded, stored, and classified, but not organized to convey specific things. Example of data would include grade point averages, bank balances, or the number of hours employees worked in a pay period. Information   is a collection of facts (data) arranged in some manner so that they are meaningful to a recipient. For example, if we include student names with grade point averages, customer names with bank balances, and employee wages with hours worked, we would have useful information. In other words, information comes from data that have been processed. Knowledg
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Discuss how each can contribute to organizational competitive advantage.

Define and differentiate between data, information, and knowledge.  Discuss how each can contribute to organizational competitive advantage.      The knowledge economy has taken hold of world, especially the business world. Our industries have embraced the fact that knowledge must be managed and used effectively to stay competitive, to stay relevant, and to stay in business. Understanding the knowledge economy comes with the process of understanding the elements involved in and of its existence: data, information, and knowledge. As my research went on, I found there are different underlying feelings about how to define the three elements.      Some knowledge economists give rise to the definitions with different underlying philosophies. For instance, Tracy Waller comes off as a hardcore IT philosopher with her raw and factual definitions. “As I see it, data is the raw facts we collect and track. Information is data that’s been organized and aggregated. Knowledge results from analyzing
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