Answer:
a. $365,000
b. $346,800
Explanation:
The computations are shown below:
a. For product cost:
= Direct materials used + Direct labor + manufacturing overhead
where,
Manufacturing overhead = Indirect labor + Property taxes, factory + Depreciation of production equipment
= $45,000 + $18,900 + $42,200
= $106,100
So, the product cost would be
= $168,100 + $90,800 + $106,100
= $365,000
b. For period cost
= Marketing salaries + Administrative travel + Sales commissions + Advertising
= $51,700 + $100,800 + $50,000 + $144,300
= $346,800
Answer:
The correct answer is True.
Explanation:
The term Business Intelligence (BI) refers to technologies, applications and practices for the collection, integration, analysis and presentation of commercial information. The objective of Business Intelligence is to support better business decision making.
The automatic aspect of Business Intelligence should not go unnoticed. Daily information monitoring allows you to evaluate performance, monitor inventory and track expenses in real time.
Planning strategies without a thorough data analysis is like aiming in the dark. Business intelligence lights the way to make the best decisions in the management of your hotel.
The usefulness of technology to take data from the environment for strategic knowledge is evident as soon as it is launched. By extracting essential data from the environment and presenting it on dashboards, business intelligence allows managers and managers to make informed strategic decisions.
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The invention of (cash register) addressed two challenges faced by department store owners in the late 19th century: creating detailed sales records and embezzlement by employees.
<span>The research method that involves manipulating a variable in order to determine how it affects another variable (in a cause and effect relationships) is the experimental method. In this method, the experimenter would undergo several processes and along the way, he would manipulate the variables in order to see how it affects the other variable thus uncovering the cause and effect relationships of these variables.</span>
