Answer:
a. The Bid/Ask spread is $0.03.
b. The statement is “False”.
c. The Bid/Ask spread at the time trade was executed is $0.02.
d. The Total Round-Trip Transaction Costs is $107.90 and the Bid/Ask spread is $0.09. It is important to have a lower commission charge. So the correct statement is “Statement C”.
Explanation:
Please check the file attached below to see the solution to given question
Answer:
To help my client quickly and easily access and understand all of this data, i will introduce Data Management.
Explanation:
Data Management is a mechanism that helps to collate and organize data into one central cache for ease of access and safety.
A data manager has the capacity to gather and analyze the data into a system that can accessed easily as at when needed. The are a lot of IT supported options for storage of data over the internet. All that will be required to access them would be a password.
When data is made available with just a click, it aids planning. It is easier to spot flaws and inaccuracy with data management and ensure that decisions and projections are reliable and well researched.
Explanation:
The stereotyping is the phenomenon, fixed and subjective, which people analyze sales and marketing. Race stereotyping is the first type of stereotyping. In a subjective view that is partly typical, it helps an observer interpret the particular race or races. This causes them to reduce their visibility and paying capacity and preferences as a target audience. This offers imprecision in the study of revenue & marketing.
The second stereotypes is the gender discrimination in which men and women are treated differently, even if they seem to be the same as in the target audience. Women are treated as caretakers, weak or weak, while men are treated as strong, leaders or men. Nonetheless, a stereotyping method may handle the analysis accordingly and the final conclusion may not be obtained.
The third type of stereotype is stereotyping of childhood. The children must be centred too much and consumer research represents a prejudicial attitude.
Following preventive steps can be taken to prevent automatic marketing promotions:
1. Establish a link between empirical data and marketing objectives. Marketing should not rely on analytical data without positive linkage and return.
2. Choose appropriate analytical metrics that properly reflect the value that the company is prepared to create. This makes the company realize the way in which promotion takes place.
3. Check analytical data regularly and make changes to brand campaigns
