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.
Cheers
Answer:
E) Bright: No dominant strategy, Sparkle: Strategy 1
Explanation:
The payoff matrix above shows the profits associated with the strategic decisions of two oligopoly firms, Bright Company and Sparkle Company. The first entries in each cell show the profits to Bright and the second the profits to Sparkle. What are the dominant strategies for Bright and Sparkle, respectively?
Bright: No dominant strategy, Sparkle: Strategy 1
Answer: C) noncompensatory rule
Explanation:
The non-compensatory rule is used to describe a situation where a person does not believe that the good traits of a product in one area will compensate for perceived bad traits in another area.
For Elton, the good trait is well known brand names and the bad trait is brand names that are not well known. Even if for the brand that is not well known, the price is lower, the discount is higher or the store is well known, these still will not be enough to compensate for the bad trait of not being well known.
Answer:
Alternation ranking method.
Explanation:
Tony, a production manager at Brighton Biometrics, needs to measure the performance of 10 subordinates. He writes their names on a paper and circles Paula's name as the best-performing employee of the group. He then circles Erma's name as the worst employee of the group. He rates the remaining employees as second best, second worst, and so on. In the context of methods of performance measurement, Tony is using the alternation ranking method.
This method basically ranks employees from the very best to the worst based on a particular trait. Choosing the highest down to the lowest until every one of them are ranked.
