Capabilities of a database management system The database management system is software support for the business organization for storing and retrieving organizational data appropriately. Capabilities of a database management system are as follows: The database management system is used for organizing, managing and accessing the organizational database It specifies data definition language, data dictionary, and data manipulation It can share organizational information It ensures quick access to information It increases data productivity It reduces storage spaces The relational database can be so powerful because of the following reasons: Relational database management system records database in a structural format using rows and columns to make data more clear and transparent It uses an algorithm to analyze the concurrent user access to the organizational database It helps in automating data and provides data backup It monitors database activity Examples of relational database systems are-Oracle database, MySQL, and Microsoft SQL Server.

Analyze the effectiveness of statistical regression to manage data Statistical regression allows the data manager to essentially crunch numbers to help the user make decisions for the business. The regression will help in making decisions that will affect the business both currently and in the future. Data in many organizations and marketing are used to show how the market is carried out daily and know the kind of progress that they are supposed to expect in the future (Bryman,2017). The regression helps in predicting sales in the near and long term future. The numbers help in understanding the supply and demand of goods in the organization; thus, the business able to make rational decisions on the type of steps they should employ for better operations. Statistical regression helps companies to analyze the data so that they can have a prediction on how sales will look like in the next six to twelve months. The effective of the regression has a significant impact on making new moves on the marketing sector since numbers never lie in statistics. Similarly, it has enabled…

Data freezing If a direct marketer does not have the necessary resources to create frozen files for every test sample, the other available option is to create a consumer-friendly data test to support the data freezing activity. Steps to perform these activities are as follows: A particular name of the test should be selected along with consumer data to promote the test A unique key code should be created on the database to mark the chosen consumer names for test promotion A file should be created for each of the names selected to address consumer identification. Later, the file can be sent to the shop for further promotional activities Hence, a record should be selected that includes all the consumer data for further analysis. The file will be called a frozen file. Later, marketers should update the consumer records on the information provided in the database using a unique key code. Hence, the information in the frozen file is further updated.

Big Data, Data Mining Aspects, and Informatics in Nursing Introduction From a medical perspective, data collection and data mining play a critical in maintaining useful patient information and more convenient access and extraction. A large amount of data is referred to as big data, while the process of extracting that data through various patens is data mining. The method of data collection, analyzing, and leveraging patient’s physical and clinical data is referred to as big data. Big data is often processed using machine learning algorithms or a computer. The data collection and mining is critical in data mining is essential in the concept of continuity planning in instances such as disaster management. All these activities incorporate the use of advanced technology that is vital in healthcare education. The information that is derived from big data helps the physicians and the healthcare management to prescribe treatment and make the right decisions with higher accuracy (Chu, 2014). Through the use of technical data that is available, it helps in eliminating guesswork while administering medication and lower cost as well as enhances patients…

big data and data mining Introduction Large amount of data is referred to as big data while the process of extracting that data through various patens is data mining. The process of data collection, analyzing and leveraging patient’s physical and clinical data is referred to as big data. Big data is often processed using a machine learning algorithms or a computer. The information that is derived from big data helps the physicians and the healthcare management to prescribe treatment and make the right decisions with a greater accuracy. It also helps eliminate guesswork while administering treatment and lower cost as well as enhances patients care. Data mining is where large data set is analyzed and patterns discovered and used to predict the possibility of events that might happen in future. Through data mining efficiency is increased and the patient quality of life improved and thus many lives are saved through data mining. One aspect of big data and data mining is the sorting and storing the most important data from huge volumes of data storage in a database and categorizing…

Data description The data can get described as an interval dataset that encompasses the analysis and measure of scales analyzed in the clinical practices. It is by navigating through the differences of hours and percentages of the exercise with the variables required for analysis (Chair, Thompson & Li, 2007). The dataset has several features, such as measurements and interval differences. The measurements used in the analysis is to show the period taken in the exercises, while interval difference analyzes the difference in time in hours concerning the position. The other feature that can help describe the data is a calculation (Chair et al. 2007). It shows the values of positions in the exercise, and explanations get given concerning the relevant arithmetical analysis. The primary curb of using the data set is that the information obtained gets limited as they provide a measurable description. The assessment process of the patient that deals with questionnaires may provide a bias and false representation of data (Valiee et al. 2016). The data analysis is limited to accuracy as several information gets approximated, such as…

Annotated Bibliography on Data Mining Thesis: Data handlers have benefitted immensely from data mining and should be allowed to continue with their activities as long as they are legal. Rao, Rajinder Singh, and Jyoti Arora. “A survey on methods used in web usage mining.” Int.        Res. J. Eng. Technol 4.5 (2017): 2627-2631. The information found on the World Wide Web is rich with the knowledge required for most of the challenges facing the world. However, obtaining information from the internet is not an easy task, and data handlers are needed to help in the required access for the information. Rao and Arora surveyed the methods used in web usage mining where data handlers employ data mining techniques to avail data for potential users from the internet. The article combines the implementation of traditional data mining methods to embrace technology to obtain information from the internet. The researchers identify three classes of knowledge developed through data mining: Web activity obtained from server logs and Web browser activity tracking, Web graph that is derived from the links between the pages and Web content…

 Pursuasive argument about how the US should follow the european data protection policy I need 4 arguments for the persuasive argument the topics are 1. Security: 2. how unsecure medical information and banking 3. how people ignore user agreements becuase they are long or boring and in the EU they are short and easier to understand. 4. In the EU people have control of what data can be shared but in the US we dont know exactly everything that is being shared. you have to follow the directions in the checklist.  in the first one the topic sentence for the first argument is the line where the US should enact legislations.citation must be hanging indentation with alphabetical order also. the introduction and background part are already done so i just need the persuasive argument for #8 in the checklist. my argument is how the US should adapt to the same legislations to the EU because the us is really unsecure with data and information unlike the EU. must be about these 4 arguments that i provided[unique_solution] Pursuasive argument about how…

Data Mapping and Coding             Data mapping and coding are essential processes applied in the healthcare system. HIM professionals rely on these processes to capture patient data that bear accuracy (Rains, Skurka, & White, 2017). Therefore, mapping is a process that associates elements of any given domain or set with items of another set. At the same time, coding is an operation that assigns codes to things based on identification or classification (DeAlmeida et al., 2019). The content of this paper is going to outline in detail how mapping and coding work hand-in-hand to showcase proper association and assignment of codes to various elements. The table below maps the following stages of diagnosis in healthcare systems from SNOMED to the unique ICD-10-CM. However, some of the presented codes might have a one-to-many kind of relationship (Heslin et al., 2017). Cerebral edema The above condition happens when there is fluid accumulation or builds up in areas surrounding the brain. The processes of mapping and coding are as shown below. Diagnosis                                SNOMED CT Coding’s   ICD-10-CM Coding’s   Names Respiratory-based Acidosis           12425000                      E88.2                …

Linkedin report data shows that Blockchain is the most demanded skill in 2020 Blockchain is the very technology that grew parallel with the popularity of cryptocurrency. Cryptocurrency, at its initial state, was only known to the computer and technical geeks, although it widely used in darknet and deep web. Little known about the technology behind cryptocurrency and its continued support, which has prompted its growth till now. Yes, Blockchain is the tech that has been holding the crypto world together. Blockchain has now become the most popular and in-demand skill in the world as a whole, not necessarily dealing with cryptos. It has also found other uses in technological advancements such as Fast Computing, AI, and especially cybersecurity. With countries now going all technological and development concerning using digital technology over the traditional ones, it’s no wonder why Blockchain is so much in demand right now. Growing Demand for Blockchain. Blockchain first introduced in the year 1991 by two university professors, who thought about a solution for tamper-free storage of data. However, this wasn’t realized or brought in to picture…