Answer:
Data mining refers to the ability of an organization to extract relevant information for a large reservoir of data that belong to its users for the purpose of increasing service/product efficiency.
One example of a company that requires data mining for the success of its business is Amazon. Amazon is categorized by many as an online retail giant. Their Customer-Centric approach to doing business is enhanced by their ability to leverage off historical data to reduce the time spent on resolving customer queries and/or complaints.
Generally, there are four basic data mining functions. They are:
- Prediction Function: This function allows for the owner to spot patterns in behavior and use this as a yardstick to predict for forecast other variables that will enable the increment in the quality of value offered/delivered.
- Function Description: This functionality highlights attributes of a set of data in the database
- Classification Function: This is very close to Function Description only that in this case, it helps in the creation of a model that describes the class or concept of data.
- Association Function: This functionality highlights the relationship between data
The above functions cannot be carried out by data query processing or simple statistical analysis because data mining involves the identification of patterns and relationships using algorithms whilst data query refers to the issuance of instructions in search of specific results.
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True! companies examine the demographics of people in a population, then selectively pick out a demographic among the many for whom they want to target their products and services at
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Note:
I wasn't able to access the Chester Income Statement but I successfully accessed a similar question Digby.
The Complete Question is as under:
Refer to the HR Reports in the Inquirer. Through past investments in recruiting and training Digby has obtained a productivity index of 109.6%. This means that Digby's labor costs would be increased by 9.6% if it did not have these productivity improvements. This is a competitive advantage that Digby can sustain or even widen further if its competitors have no HR initiatives. Now, refer to the Income Statement in Digby's Annual Report. How much did Digby's productivity improvements save it in direct labor costs (in thousands) last year?
A. $766
B. $29818
C. $3137
D. $3211
Answer:
Option D. $3,137
Explanation:
The Productivity Index of 9.6% shows that if the improvement plan is implemented then the efficiency gains would result in saving of 9.6% of total direct cost. So if we total the direct cost for the year for all of the four products then we have an amount of $32,680 which is given at the second last column.
The amount saved last year would be:
Savings = $32,680 * 9.6% = $3,137
Hence the option C is correct here.
Answer:
E) if the firm evaluates these projects and all other projects at the new overall corporate wacc, it will probably become riskier over time.
Explanation:
Before the merger, Audaco would have rejected any project with an IRR of less than 12% (more risky investments) while Careco only required a 10% IRR (less risky projects). But after the merger the combined WACC will be lower than Audaco's, but higher than Careco's. Therefore, the new merged company will start accepting more risky projects and that tendency will continue over time. Eventually, the company's WACC will have to adjust and increase, and the cycle will continue.
