Using the data file from the last two classes, write a summary report that inclu

Using the data file from the last two classes, write a summary report that inclu

Using the data file from the last two classes, write a summary report that includes tables and charts to explain key insights from the data.
The report should focus primarily on summary statistics and conclusions you can draw from it.
Make sure to provide answers to each of the main questions in the survey.
Make 3 pivot tables based on the data with a chart matching each pivot table
The qualitative part (i.e., open-ended responses) is not necessary to analyze.

In this assignment you will be using a weighted decision model (also known as a

In this assignment you will be using a weighted decision model (also known as a

In this assignment you will be using a weighted decision model (also known as a weighted matrix) to help a company select a new CRM system. Use the information given below and construct a weighted matrix model that accounts for all information to help the company make the most appropriate choice.The company is evaluating several facets of CRM systems. These facets and their relative importance are listed below:
Contact Management20%
Reporting15%
Predictive Analysis15%
Marketing Automation Integration10%
Lead Management10%
Mobile2.5%
Social2.5%
Cost25%
Each vendor’s ability to meet these criteria is rated on a scale of 1 to 5. With 5 indicating good alignment, and 1 indicating poor alignment.
Assignment Requirements:
Create a weighted decision model that evaluates these CRM systems.
Include a copy of your Microsoft Excel file that includes this model.
Below your solution output in Excel please write a 3–5-line analysis of this problem and your findings.

eply to this post with a written entry will no less than 100 words and up to 250

eply to this post with a written entry will no less than 100 words and up to 250

eply to this post with a written entry will no less than 100 words and up to 250 words. Each entry must contain some reference to either the course book (page) or an external reference (URL for example). You also must reply to another post (at least a response with at least two sentences). Please click on the icon with the three vertical dots on the upper right of the Canvas page to see the rubric for this assignment.
question
Looking at the Mini Case: Using Technology to Detect Customer Fraud, the author poses a question near the end of the mini case. The author asks how Alibaba would know if its fraud identification was successful or whether it removes honest individual from its customers lists.
Answer the following:
Do other similar platforms such as Amazon for example, fare better or worse when it comes to removing fraud or not.
Briefly explain why you agree or disagree. Provide cited references to support your claim. I uplode the mini case

Hello, I have this Excel work sheet that I don’t know how to do do due to my lit

Hello, I have this Excel work sheet that I don’t know how to do do due to my lit

Hello, I have this Excel work sheet that I don’t know how to do do due to my little experience in excel would you please follow the steps attached below for directions. Thank you so much

Design a database and write CREATE TABLE SQL statements Objective The objective

Design a database and write CREATE TABLE SQL statements
Objective
The objective

Design a database and write CREATE TABLE SQL statements
Objective
The objective of this exercise is to learn how to design a database with additional relationships including more than one relationship between two entities, a unary relationship, and a time-dependent relationship.
To accomplish that objective, create a logical ERD using the crowsfoot format provided in the presentations and in the Modern Database Management text. Be sure each entity has the entity name at the top of the box, the primary key attribute or attributes in the middle of the box, and the non-key attributes in the bottom of the box. Lines should separate each part of the entity box.
Follow these instructions about each ERD:
●The ERD must not have any m:n relationships.
●All attributes must be placed within an entity.
●Each entity must have a primary key defined. A primary key may consist of one or more attributes.
●Each relationship is between two entities.
●Each relationship must include both a maximum and minimum cardinality for both sides of the relationship.
●Each relationship must have a foreign key. The foreign key is placed in only one of the two entities in the relationship. For a one-to-many relationship, the foreign key is placed in the entity that is on the many side of the relationship. For a one-to-one relationship, the foreign key can be placed in either entity, but is most often placed in the entity that you anticipate will have the fewest number of rows so it will have the fewest number of null values. Denote the foreign key(s) with the notation (FK) on the ERD.
●Do not differentiate between an identifying or non-identifying relationship – just use a solid line for each relationship.
Deliverables:
1) An ERD with relational crowfoots of the database model for points #1-11 below.
2) Type into a Word document the SQL CREATE TABLE statements necessary to create the Employee, SalesOffice, Property and EmployeeAssigned to a SalesOffice entities. There will be four CREATE TABLE statements required to satisfy this deliverable. Use data types you think are reasonable for the fields required to include in the CREATE TABLE statements. Be sure to include a primary key for each table and a foreign key for each relationship. A primary key should be either an INT or CHAR data type. A primary key should not be a VARCHAR data type.
Include the ERD in #1 above into that same Word document that has the CREATE TABLE statements.
Application Scenario:
A large real estate firm wants to keep track of its offices and employees, as well as the properties that are for sale through each office. Here is some information about the organization and data that is to be stored.
The firm has a number of sales offices in several states. Draw an entity for the sales office and include attributes of officeID (primary key) and address, city, state and ZIP Code. The firm only has offices in the U.S.
The firm has employees. Draw an entity for employee and include attributes of employeeID (primary key) and employee lastname and firstname. An employee is assigned to work in one and only one sales office; a sales office could have many employees assigned to it.
For each sales office, there is always one and only one employee assigned as the administrator for that office. An employee can administer only one office. Hint: It is possible to have more than one relationship between two entities. Each relationship must have its own relationship line and its own foreign key.
In the U.S., the 9-digit ZIP Code is used to determine a city and state, so create an entity for the location with the ZIP as the primary key, then relate that entity to the SalesOffice ZIP Code so the city and state are stored separately from the address in the SalesOffice entity.
The firm lists property for sale. Some of the attributes of property include propertyID (primary key), and address, city, state and ZIP. The firm lists properties only in the U.S., so the data for a city and a state should be consolidated into an entity. In the U.S., the 9-digit ZIP Code is used to determine a city and state, so create an entity for the location with the ZIP as the primary key, then relate that entity to the SalesOffice ZIP Code so the city and state are stored separately.
Each unit of property must be listed for sale with one and only one of the sales offices. A sales office may have any number of properties listed or may have no properties listed. For each unit of property, store the address and ZIP. A unit of property can have one location (city and state), but a location could be related to multiple units of property.
A unit of property is categorized by its type. For example, a unit of property may be a commercial building. Other category types are undeveloped residential land, single family residence, and multi-family residence. There are a number of pre-determined category types that are available, but a given unit of property can be of only one category type.
A unit of property is owned by one or more owners. An owner is uniquely identified by an ownerID and the attributes of an owner are lastname, firstname, and phonenumber.
It is possible an owner owns more than one unit of property. For each unit of property an owner owns, the real estate firm wants to keep track of the date of purchase and the percentage that the owner owns.
Some employees serve as managers of employees in the firm. Most employees have a manager. It is possible an employee does not have a manager. An employee can manage many employees, but an employee may not manage any employees. If an employee has a manager, then the employee has only one manager. A manager is always an employee of the firm. (Hint: this is an example of a unary relationship.)
It is possible an employee has worked for more than one sales office over time. We want to keep track of this time-dependent data. We want to keep track of all the offices that an employee has been assigned to, including the start and end date when the employee was assigned to work in a given sales office.

Case Study 4 – Mostashari Food Distribution Across from the Short Stop gas stat

Case Study 4 – Mostashari Food Distribution
Across from the Short Stop gas stat

Case Study 4 – Mostashari Food Distribution
Across from the Short Stop gas station on Marshbanks Street in Buies Creek, North Carolina, Mostashari Food Distribution (MFD) operates a food delivery service covering the Carolinas and southern Virginia. To stay competitive in the market, MFD closely follows global food prices. The dataset they use is assembled monthly by the United Nations’ World Food Program (https://www.wfp.org/) and is distributed by HDX (https:// data.humdata.org/) to, among other places, here: https://www .kaggle.com/datasets/salehahmedrony/global-food-prices. The dataset is updated monthly and has 18 columns and more than 1.048M rows
1. Download the current month’s dataset and describe each of the 18 columns.The File is too big of excel. So what are the other options / other analytics software that are available in the market to provide summaries of the numeric columns ( like average., median, and sample standard deviation).
2. Choose atleast one of the software if possible and provide the above summaries of the numeric columns.
Be very descriptive and show what software you use. Make sure you do your research properly.

I have completed Part 1: The topic I chose for the final project is “Zillow Data

I have completed Part 1: The topic I chose for the final project is “Zillow Data

I have completed Part 1: The topic I chose for the final project is “Zillow Data Analysis”.
And the reason I chose this topic is because as a licensed real estate agent I am familiar with Zillow, but I have never done statistical analysis of zip codes, so I am looking forward to learning how to do that with this project.
I need help to complete Part 2 and Part 3 of the project. See link for explanation and attachments for details.
Here is a link with explanation of the project: https://pasadena-edu.zoom.us/rec/play/QCHllvuO2OSz…

Download, calculate, and interpret the descriptive statistics of the quarterly e

Download, calculate, and interpret the descriptive statistics of the quarterly e

Download, calculate, and interpret the descriptive statistics of the quarterly effective Federal Funds rate (FEDFUNDS) from Fred : https://fred.stlouisfed.org . Your answer should include the Code, output, graph, and analysis.

The chart is to be visuals are to be created in Tableau Public. I would like st

The chart is to be visuals are to be created in Tableau Public.
I would like st

The chart is to be visuals are to be created in Tableau Public.
I would like step-by-step guidance to Create three displays showing the sample respondents’ skill set: A vertical bar chart, a radar chart, and a stacked bar chart.
And assistance to answer the following question for each chart: How would you use preattentive attributes in the charts you created? Add one to each chart and briefly explain what you added/changed and why?