These dashboards help teams keep track of the progress and success of company-wide metrics and enable management to make data-driven decisions on future business goals. Management dashboards may include graphs, images, tables, numeric data, and data from case studies, or a combination of these elements.
The marketing of services differs from product marketing because of the four fundamental differences involved in services: services are intangible, inseparable, heterogeneous, and perishable
Answer and Explanation:
The journal entries are shown below:
On September 1
Cash $520
Sales $520
(Being the sale is recorded)
On September 1
Cost of goods sold $220
To Merchandise inventory $220
(Being the cost is recorded)
On September 1
Warranty expense $41.6 ($520 × 8%)
To Estimated warranty liability $41.60
(Being the warranty expense is recorded)
On July 24
Estimated warranty liability $36
To Repair parts inventory $36
(Being the estimated warranty liability is recorded)
Answer:
DR Inventory $609,000
Land $1,086,750
Buildings $2,138,250
Customer Relationships $842,250
Goodwill $965,750
CR Accounts Payable $102,000
Common Stock $56,400
Additional Paid-In Capital $1,353,600
Cash $4,130,000
Working
Common Stock = 28,200 shares * $2 = $56,400
Additional Paid in Cap = 28,200 shares * ( 50 - 2) = $1,353,600
DR Additional Paid-In Capital $32,400
CR Cash $32,400
DR Professional Services Expense $49,800
CR Cash $49,800
Answer:
Explanation:
A Supervised learning allows you to collect data or produce a data output from the previous experience while an unsupervised learning you do not need to supervise the model.
A. Deciding whether to issue a loan to an applicant based on demographic and financial data (with reference to a database of similar data on prior customers). - Supervised learning
B. In an online bookstore, making recommendations to customers concerning additional items to buy based on the buying patterns in prior transactions. - Unsupervised learning
c. Identifying a network data packet as dangerous (virus, hacker attack) based on comparison to other packets whose threat status is known - Supervised learning
d. Identifying segments of similar customers. - Unsupervised learning
e. Predicting whether a company will go bankrupt based on comparing its financial data to those of similar bankrupt and nonbankrupt firms. - Supervised learning
f. Estimating the repair time required for an aircraft based on a trouble ticket. - supervised learning
g. Automated sorting of mail by zip code scanning. - Supervised learning
H. Printing of custom discount coupons at the conclusion of a grocery store checkout based on what you just bought and what others have bought previously - Unsupervised learning
