The modular structure would be more effective for a company making technology with specialized components (false option)
Business modular structure is a term that refers to a type of structure in which a company is subdivided into specialized small units in some particular aspect of the production process.
This type of structuring is the best option for a company that makes specialized technological objects because each subdivision of the company can focus on different processes with greater specificity.
On the other hand, this structure allows the company to constantly improve itself because a major restructuring is not required when a failure is detected but can be quickly amended in the subdivision that presents problems.
Additionally, customer divisional structure is not the best option for this company because it is not necessary to segment the target audience since its products are highly specialized and are already aimed at a specific market segment.
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Answer and Explanation:
The capital expenditure is the expenditure which is held for a capital asset i.e fixed assets for improving life, production, etc. It is a one-time expenditure
While on the other hand the revenue expenditure is the expenditure which is incurred on daily basis i.e frequently like repairs, maintenance
So based on the above, the classification is as follows
a. Capital expenditure
b. Revenue expenditure
c. Revenue expenditure
d. Capital expenditure
Answer: none is correct.
Explanation:
Given data:
2 years ago = $500
1 year ago = $300
Today = $800
Solution:
PV ( presents value )
= p * r * t
Where:
p = principal ( $500, $300, $800 )
r = rate = 4%
t = duration (time) ( 2years, 1 year and present ).
= ( $500* 2 * 0.04 ) + ( $300 * 1 * 0.04 ) + $800
= $40 + $12 + $800
= $852
PV = $500 + $300 + $852
= $1,652.
Answer:
The data-mining technique that creates a report or visual representation is summarization.
Explanation:
The business world has changed drastically over the years in terms of marketing and service delivery because of growth in technology. The use of machines and internet has caused a greater need for access and analysis of information in such a way that can make a business thrive in the market. This means that most businesses have to look into better data-mining techniques that can assist them in the competitive business environment.
The different data mining techniques include; association-rule learning, classification, summarization and regression. They are explained further as follows:
1. Association-rule learning: this is a machine learning technique that discovers a relationship between large databases using the concept of strong rules.
2. Classification: this technique finds similarities in features of two or more data sets and groups them into the same category.
3. Regression: this is a predictive technique that is used to identify and analyse the likelihood of a specific variable.
4. Summarization: this technique takes the results from the data and puts it in a way that it is short and understandable by most people. It usually involves the use of tables and other data summarization software like Excel sheets to represent the data in a way that conclusions can easily be drawn. Data summarization is important especially in the digital world where large amounts of data are available for analysis and transfer. This technique helps in breaking down huge data into short comprehensible reports that can easily be used for quick decision making.
