“Data Driven Input”

Research a scholarly paper on “Data Driven Input” and reflect on only one (1) of the following topics:

“Analytics Centric”: How can input be designed to support an Analytics Centric organization?
“Competency Centers”: The benefits of Analytics Competency Centers in data-driven organizational change.
“Roles”: The role of Systems Analysts, Business Analysts and Super Users in data-driven decisions.

Using Analytic Techniques To Add Meaning To Data

Download data on a company’s stock history. From this data, create scatterplots, histograms, and calculate the mean, median, mode, and standard deviation of some data points. Write a 4-6 page report including the graphs and descriptive statistics you have created.
Business analytics techniques are used to facilitate decision making by transforming large amounts of raw data into meaningful information. Many businesses rely on analysis of relevant historical data to make key strategic and operational decisions. Therefore, understanding how to use techniques such as graphical representation and descriptive statistics to translate raw data into useful information can be a valuable skill in an organization.
In this assessment and the next, you will have the opportunity to sharpen your analytics skills by locating and interpreting real-life stock data.
You have been learning about how to explore data. In this assessment, you will apply those skills by downloading a practical dataset and creating graphical representations of that data. The work you do in this assessment will lay the foundation for future assessments in which you analyze and interpret those graphical representations. Since the purpose of business analytics is to make sense of large quantities of raw data, this assessment helps you develop skills in applying analytics to business contexts by practicing the exploration and display of data.
In addition to graphical and tabular summary methods, numeric or quantitative variables and data can be summarized numerically using various techniques of description and display.
Descriptive methods, which describe existing data, are also methods for using a subset of the available data to estimate or test a theory about a measurement on a larger group. This larger group is called the population, and the measurement being studied is the parameter. The smaller group, or subset, of the population that is taken in order to make an inference (to make an estimate or test a theory) is referred to as the sample. The measurement taken on that sample is then referred to as the statistic, which is usually the best single-number estimate for the population parameter of interest. Most often, however, the estimate should not be restricted to a single number that would be exactly correct or incorrect. Instead, it is preferable to calculate some range of possible values between which there can be a certain percent confidence that the true population parameter falls. These are referred to as confidence intervals.
Scenario
Business analytics techniques are used to facilitate decision making by transforming large amounts of raw data into meaningful information. Many businesses rely on analysis of relevant historical data to make key strategic and operational decisions with the goal of gaining or maintaining competitive advantage. Therefore, understanding how to use techniques such as graphical representation and descriptive statistics to translate raw data into useful information can be a valuable skill in an organization.
In this assessment and the next, you will have the opportunity to sharpen your analytics skills by locating and interpreting real-life stock data, creating a business report, and presenting the information from the business report with your supervisor and colleagues as part of a decision-making effort.
Your Role
You are a member of a business analyst group interested in a publicly traded company. Your supervisor has asked you to create a presentation, including graphical representations from raw stock data. From that raw stock data, you are to create a business report for a company-wide meeting at the end of the quarter. Your work and the work of others will result in a Business Report, which will be utilized to help company leadership make decisions.
Your first task is to pick a publicly held company with only one business platform. So do not pick Apple, Amazon, Disney, et cetera. You want a company that plays in only one industry. Then you are to provide an overview of the company, including business context. Remember that business context includes many aspects of the company, industry, competition, et cetera.
The second task is prepping stock history data from the business or company and creating scatter plots and a histograms.
The third task is to calculate mean, median, mode, and standard deviation of the adjusted daily closing stock price and the stock volume.
The fourth task is to provide a summary of the information you provide (including data analysis) without bias and with factual information including citations.
It is your responsibility to present visually and to interpret the data into meaningful information using analysis and descriptive statistics.
Instructions
Select a publicly traded business or stock that plays in only one industry in which you have interest. Download the raw data on the company’s stock history.
Follow these steps to locate and download stock history from Yahoo! Finance:
Go to Yahoo Finance.
Search for and find the stock information of your chosen company. Remember do not use a company that plays in multiple industries.
Once you pull up the general data on the company, review the screen links throughout until you find the link for Historical Data. Click on the Historical Data link. Then select the following settings above the table:
Select Time Period of one year.
Select “Historical Prices.”

Database

Explain the relationship between entities / attributes and tables / columns. Discuss why understanding the theoretical concepts during the design process is an important facet of successful database implementation.

Research naming conventions and discuss some of the good practices when assigning names for the elements in your physical model.

Research principles of data validity and reliability tie into data collection

  1. How do the research principles of data validity and reliability tie into data collection in project management? Should data that do not have confirmed validity and reliability play any role in evaluation?
  2. How does one determine the cost of data collection and management compared to its relative value in project evaluation?

The Development Early

 

Utilizing a power point to discuss the development early , include the following areas:

change Cognitive
change Behavioral
change Physiology
Common diseases
Common Issues
support programs for these diseases in miami
Share a brochure to provide basic information regarding your age group.

Behavior data

A. Indicate how you collected the behavior data (frequency, latency, rate, intensity) and what data needs to continue to be collected (submit raw data)

B. Include a “context summary” (time of day, environment, other students, curriculum, teacher exception of the task, day of the week) and compare the two observations

C. Function (hypothesis and rationale)

D. Summarize data into a parent-friendly document

Looking Ahead: Utilizing information from the textbook and/or additional resources: recommend a Tier 2 intervention, which should be evidence-based/research-based

A description and the rubric are added to this assignment. Please review the rubric for specific expectations.

DESCRIPTION of what to include in your summary:

Your written summary should include:
A. Summarize each observation objectively:
Observation #1: 5 Points: Identified target behavior clearly & specifically, Describe the context, i.e. date, time, setting, and activity, Identified the method of data collection, Described findings in narrative form, Attach raw data collection form.
Observation #2: 5 Points: Identified target behavior clearly & specifically, Describe the context, i.e. date, time, setting, and activity, Identified the method of data collection, Described findings in narrative form, Attach raw data collection form.
B. Compare findings across Observations 5 Points
What behaviors, antecedents, and consequences (ABC) were the same across both observations? What differed in relation to setting, peers, expectations, and consequences across the observations? Was the intensity or frequency of the target behavior similar across settings? Have you observed the behavior elsewhere?
C. Hypothesize the function of the behavior 5 Points
What typically seems to happen before the behavior? What happens after the behavior? What does the student seem to gain from the behavior? What might the student be avoiding? What do you propose as the function of the behavior? What specifics from your 2 observations support your proposed function?

Analyzing And Visualization Data

Research a scholarly paper on “Agile Modeling and Prototyping” and reflect on only one (1) of the following topics:

“Agile vs Structured”: How is Agile Modeling better or worse than Structurred Methods?
“Agile Types”: What types of Agile Modeling exists and which seems better?
“Prototyping”: How important is Prototyping and when would it be used?

Monitoring data

btain monitoring data analyzed within a Healthy People objective, and then interpret this information for its influence on the decision-making process.

Step 1—Healthy People Data Visualization: Visit the Browse Objectives page of the Healthy People 2030 website. Scroll through the list of health conditions and select one of interest. Then, select a specific objective report. Clicking on the selection will open a new page that depicts a visual representation (infographic) of the specific objective’s data. To view the graph, click on the See detailed data for this objective button. Then, you can either print the graph by clicking on the printer icon to the right of the graph, or take a screenshot of this data visualization to be included in your initial post.

Step 2—Public Health Research, Policy, or Practice: Use the Shapiro Library and identify a peer-reviewed journal article pertaining to the topic area you selected in Step 1. The article should be published in a public-health specific (i.e., nonmedical) journal and should involve research, policy, or practice within the topic area. Download the full text of this article and review it carefully.

Using the data visualization (from Step 1) and the journal article (from Step 2), please proceed with your initial discussion post.

In your discussion post, please address the following:

Part 1—Explanation of Topic Area and Data Visualization (100 words): First, summarize the topic area and indicate the selected Healthy People Objective. Interpret the findings/trends from the data visualization. Is progress being made towards the desired outcome? Please explain your rationale for interpreting the data in this manner. Include a screenshot of the visual with your submission.

Part 2—Summary of Journal Article (100 words): Discuss the public health research, policy, or practice and its relationship to the Healthy People Objective identified in Part 1.

Part 3—Connecting Data Trends and Decision Making (100 words): Imagine that you are a health professional who (co)authored the selected journal article. How would the Healthy People data visualization inform the decisions you make? What would you have done differently compared to the actual author(s)? Please explain your rationale and provide examples.