Descriptive Analysis : Prescriptive Analytics

Decision making and communication are at the center of business success and efficient business analytics would only be effective through the use of proper information systems and that are up to date with current trends as well as optimizing on the available channels.

The first artefact for my portfolio is Assignment 2 in Mdde 602, titled: Analyzing Quantitative Data. Part two of this assignment included an Excel spreadsheet which displayed the data. This assignment consisted of an Excel data spreadsheet containing multiple sets of data to perform the statistical analysis. The second component consisted of creating a response document on Microsoft Word in order to record the written answers to the assignment problem. The solution to each problem was only possible to solve after performing the data analysis in the Excel sheet first. The most challenging and exciting part of this assignment was explaining the concept to a person who had no understating of statistics and breaking down the material to be easily comprehensible.

Here we discuss about the common traits or ideas observed in the three research topics. Although, these three papers discuss about different ideas, they all fall under the web data mining domain. web data mining is a hot research topic in the current realm of big data. These papers discuss about the utilisation of the valuable user generated data from the social media or the the browser cookies to provide the best user experience in order to maintain the user interest in the company's product or to take effective decisions by the individual.

Business Intelligence Roadmap: The Complete Project Lifecycle for DecisionSupport Applications [VitalSouce bookshelf version]. Retrieved from http://devry.vitalsource.com/books/9781256084792

Meaningful use is the utilization of electronic medical records in an aim to achieve a higher level of patient care, that focuses on decreasing health disparities by improving the overall safety, increasing the efficiency, and surpassing the current quality of present-day healthcare. Meaningful use is accomplishing these goals by focusing on improving the coordination of care amongst interdisciplinary teams and other providers, ensuring adequate privacy and security protections for personal health information, and encouraging patients and their families to play active roles in the care they receive.

To ensure that your money isn’t wasted, you need to spend even more. The way to spend it is by following Avinash Kaushik’s “10/90” rule. This directive suggests that for every $10 you spend on your analytics tool and implementation, you should spend $90 on intelligent digital analysts who can convert your data into actionable insights. Companies are eager to collect data, but that data is worthless until someone translates it into insights that drive business results (Gibson A., 2013).

Data analysis, research analysis, statistical analysis, and any other kind of career involving the analysis of factors used to advise employers on decision making are all in a rapidly growing field. According to the Bureau of Labor Statistics, “Employment of operations research analysts is projected to grow 27 percent from 2016 to 2026, much faster than the average for all occupations.” (Operations Research Analysts, 2017) Referring to data analysis, Chris Matthews said, “…it is a very broad field… it may seem saturated but there’s a lot of people doing that because there’s a need for that, and it’s gonna continue to grow.” (Matthews, 2017) Because of this rapid growth, many techniques and ways of completing analyses are becoming outdated. According to Moreno, “Analytical methods and tools trail both the appetite and ambition of most business leaders: 23% of analytics professionals are still using spreadsheets as their primary tool for data analysis.” He also includes that “There is a dire need

This report finds that data-driven decision making involves the collection, combining and crunching of data received from multiple sources throughout the organization. The technique can contribute to the improvement of Acme’s decision making process as a whole. Acme gathers

The research designed used in this study is a descriptive pilot study. A descriptive pilot study is a standard scientific tool which allows scientists to conduct a preliminary analysis before committing to a full-blown study or experiment that also seeks a relationship between variables such as quality of life, burn out and the impact of an event has on compassion fatigue in oncology nurses.

An analysis of given workloads in the event of medication errors in nursing was conducted by an exploratory-descriptive study with a quantitative approach. People who were part of the study had experienced some medication error in their work unit, with dose errors being the most frequent and the number of staff giving to the event of medication errors. Constructing successful ways to reach goals necessary to make something as small as possible in the event of medication errors and patient safety.

This article is called “What Happens to Mental Health Treatment During Pregnancy? Women’s Experience with Prescribing Providers?” The study included pregnant women that are depressed. There are woman that don’t the help because is challenge to get mental health. They are a concern whether a medication can cause damage to the fetal. The goal for this study is examine the decision of the prescribing provider when he is inform that a depress woman is pregnant. Some of the providers that are notified about the pregnancy, they stop giving the medication to the pregnant woman.

The codes created from the transcript may be grouped to construct larger themes about the research question: “The experience and attitudes of parents towards their children eating habits” (Laureate Education (LE), 2014). The mind map below displays the themes (red), categories (green), and subcategories (purple), constructed from the research question

number 23 out of 30 top salaries in the league, they also had 96 wins

In addition to their value as learning exercises, doing a careful and thorough job on the

However, targeted advertising has raised new questions on privacy since it must collect user’s information in order to publish advertisement. When a consumer visits a website, every page they view, the time spent on each page, the new pages they click on and how they interact with the server, allow browsers to collect that data. Analyzing from the technology used in behavioral targeting advertising, web browsing history will be tracked and sent to web server. In order to best select advertisements to display, data mining and machine learning theory will be implemented for analyzing users’ behavior (Korolova 2010).