Poor Data Quality as A Problem Damaging Reputation
Order ID |
53563633773 |
Type |
Essay |
Writer Level |
Masters |
Style |
APA |
Sources/References |
4 |
Perfect Number of Pages to Order |
5-10 Pages |
Description/Paper Instructions
Poor Data Quality as A Problem Damaging Reputation
Discussion1
- According to the referred articles, they talk about how poor data quality is an expensive problem that damages reputation. According to the Gartner report, organizations fail to make right assumptions about the state of their data and continue to experience inefficiencies, excessive costs, compliance risks and customer satisfaction issues as a result. These listed issues effect the data quality hence impact the business. One of the articles illustrates about how the poor data quality impacts customer satisfaction to undermines a company’s reputation, as customers can take to social media to share their negative experience.
- After referring a few articles, it guided me to understand that how Data mining, knowledge discovery, or predictive analysis mean one and the same. Data mining is nothing but a set of techniques for discovering patterns in a large data set. By making use of these patterns’ organizations create a predictive model to stay forward. In today’s world, each organization encouraging Big Data and are, hence using sophisticated analytical methods. So, the increased usage of Big Data leads the need for data mining. Both Artificial Intelligence and Machine Learning are gaining a lot of relevance in the world today, and the credit goes to Data Mining. How else do you make a system “artificially intelligent” without feeding it with relevant data and patterns? And, how do you extract relevant patterns if not by Data Mining?
- According to referred articles, it explained the right definition of ‘Text Mining’ which states that it is used to help answer specific research questions. As it would be tedious for anyone to read all the millions of research articles on the topic themselves, so, here is where Text Mining comes into picture. It is capable of filtering large number of researches and extracts the relevant information one need. For example, within academic articles, then you can apply a text mining tool which helps extract the information you need from large amounts of contents. The tool extracts by learning how to find information from each article.
Discussion2
Quiz 1
According to Redman (2018), Poor data quality causes the decision makers in a business to fail to make proper decisions or even fail to make decision at all. Poor data may also cause a business to lose sales and other business opportunities, flawed strategies, misallocation of resources, making wrong orders, having incorrect inventory levels. Eventually, such flawed issues can make customers get frustrated and go away causing a very low business return (Haug, et al. 2013). When the customers shy away from the business, the profit level goes down and thus the business faces the risk of closedown. The cost of poor data quality spreads in the entire organization and thus affects the whole systems, the accounting and customer services (Strong, Lee & Wang, 2017). There is also an additional cost for the company because employees need to take time to hunt down the correct data and make up the errors.
Quiz 2
Data mining is the process of sorting through enormous data sets with the aim of identifying patterns and establishing relations within the data to solve problems by using data analysis methods (Hand, 2017). Data mining involves creation of association rules through data analysis for frequent patterns. According to Fayyad et al. (2016), this is followed by using a criteria that supports the data analysis to locate the most important relationships within the data. Other parameters that are involved in data mining include path analysis or sequence, clustering, classification and forecasting. For the path or sequence analysis in data mining, the analysts look for patterns where one event leads to another event (Tan, 2017). For a classification parameter, it looks for any new patterns in the vast data and might observe the way data is changing and the way it is organized.
Quiz 3
With regard to Aggarwal & Zhai (2012), text mining is the process of keenly exploring and making analysis of vast amounts of texts that are unstructured. This process involves the aid of a software that has the ability of identifying patterns, concepts, topics, keywords and other data attributes within the vast text (Berry, 2014). This process is also referred to as text analytics. Text mining has recently been a popular aspect for scientists and other users because there has been the development of deep learning algorithms and big data platforms that aid in analysis of massive sets of unorganized data. According to Feldman & Sanger (2017), mining and analyzing texts is important because it helps organization to get insights of potentially valuable business ideas in customer emails, corporate documents, verbatim survey comments, call center logs and social network posts among other text sources.
RUBRIC
QUALITY OF RESPONSE |
NO RESPONSE |
POOR / UNSATISFACTORY |
SATISFACTORY |
GOOD |
EXCELLENT |
Content (worth a maximum of 50% of the total points) |
Zero points: Student failed to submit the final paper. |
20 points out of 50: The essay illustrates poor understanding of the relevant material by failing to address or incorrectly addressing the relevant content; failing to identify or inaccurately explaining/defining key concepts/ideas; ignoring or incorrectly explaining key points/claims and the reasoning behind them; and/or incorrectly or inappropriately using terminology; and elements of the response are lacking. |
30 points out of 50: The essay illustrates a rudimentary understanding of the relevant material by mentioning but not full explaining the relevant content; identifying some of the key concepts/ideas though failing to fully or accurately explain many of them; using terminology, though sometimes inaccurately or inappropriately; and/or incorporating some key claims/points but failing to explain the reasoning behind them or doing so inaccurately. Elements of the required response may also be lacking. |
40 points out of 50: The essay illustrates solid understanding of the relevant material by correctly addressing most of the relevant content; identifying and explaining most of the key concepts/ideas; using correct terminology; explaining the reasoning behind most of the key points/claims; and/or where necessary or useful, substantiating some points with accurate examples. The answer is complete. |
50 points: The essay illustrates exemplary understanding of the relevant material by thoroughly and correctly addressing the relevant content; identifying and explaining all of the key concepts/ideas; using correct terminology explaining the reasoning behind key points/claims and substantiating, as necessary/useful, points with several accurate and illuminating examples. No aspects of the required answer are missing. |
Use of Sources (worth a maximum of 20% of the total points). |
Zero points: Student failed to include citations and/or references. Or the student failed to submit a final paper. |
5 out 20 points: Sources are seldom cited to support statements and/or format of citations are not recognizable as APA 6th Edition format. There are major errors in the formation of the references and citations. And/or there is a major reliance on highly questionable. The Student fails to provide an adequate synthesis of research collected for the paper. |
10 out 20 points: References to scholarly sources are occasionally given; many statements seem unsubstantiated. Frequent errors in APA 6th Edition format, leaving the reader confused about the source of the information. There are significant errors of the formation in the references and citations. And/or there is a significant use of highly questionable sources. |
15 out 20 points: Credible Scholarly sources are used effectively support claims and are, for the most part, clear and fairly represented. APA 6th Edition is used with only a few minor errors. There are minor errors in reference and/or citations. And/or there is some use of questionable sources. |
20 points: Credible scholarly sources are used to give compelling evidence to support claims and are clearly and fairly represented. APA 6th Edition format is used accurately and consistently. The student uses above the maximum required references in the development of the assignment. |
Grammar (worth maximum of 20% of total points) |
Zero points: Student failed to submit the final paper. |
5 points out of 20: The paper does not communicate ideas/points clearly due to inappropriate use of terminology and vague language; thoughts and sentences are disjointed or incomprehensible; organization lacking; and/or numerous grammatical, spelling/punctuation errors |
10 points out 20: The paper is often unclear and difficult to follow due to some inappropriate terminology and/or vague language; ideas may be fragmented, wandering and/or repetitive; poor organization; and/or some grammatical, spelling, punctuation errors |
15 points out of 20: The paper is mostly clear as a result of appropriate use of terminology and minimal vagueness; no tangents and no repetition; fairly good organization; almost perfect grammar, spelling, punctuation, and word usage. |
20 points: The paper is clear, concise, and a pleasure to read as a result of appropriate and precise use of terminology; total coherence of thoughts and presentation and logical organization; and the essay is error free. |
Structure of the Paper (worth 10% of total points) |
Zero points: Student failed to submit the final paper. |
3 points out of 10: Student needs to develop better formatting skills. The paper omits significant structural elements required for and APA 6th edition paper. Formatting of the paper has major flaws. The paper does not conform to APA 6th edition requirements whatsoever. |
5 points out of 10: Appearance of final paper demonstrates the student’s limited ability to format the paper. There are significant errors in formatting and/or the total omission of major components of an APA 6th edition paper. They can include the omission of the cover page, abstract, and page numbers. Additionally the page has major formatting issues with spacing or paragraph formation. Font size might not conform to size requirements. The student also significantly writes too large or too short of and paper |
7 points out of 10: Research paper presents an above-average use of formatting skills. The paper has slight errors within the paper. This can include small errors or omissions with the cover page, abstract, page number, and headers. There could be also slight formatting issues with the document spacing or the font Additionally the paper might slightly exceed or undershoot the specific number of required written pages for the assignment. |
10 points: Student provides a high-caliber, formatted paper. This includes an APA 6th edition cover page, abstract, page number, headers and is double spaced in 12’ Times Roman Font. Additionally, the paper conforms to the specific number of required written pages and neither goes over or under the specified length of the paper. |
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