A
395395/10871087 x 100%= 3.64% of people said it was a good thing
Answer:
state government
Explanation:
Counties, towns, and cities collect their money mostly from taxes and fees charged to enterprises. The State government is in charge of collect taxes such as income, sales, and property taxes.
Answer:
The correct answer is False.
Explanation:
Every client expects and wishes to be treated with correction in an establishment. Feel well received, appreciate that it is important for the company, perceive that it is well valued. He also hopes that the relationship will be pleasant and that the bidder will fulfill his commitments.
These factors are valued in the customer service both face-to-face or telephone or virtual: courtesy, credibility, speed, personalization, professionalization and the tangible aspect of the service.
It is necessary to give a courteous treatment to the client. Courtesy is reflected in the consideration shown to customers. Treat them with the respect they deserve.
Answer:
The answer is "Incorrect and all but one".
Explanation:
It's wrong because it assumes that its millennial generations of Cold Goose through financing activities only at end of Years second and third were equivalent to both the employer payment of its organization to preserved profits, $869,437, and $1,133,180 separately. It is because transactions including payable accounts are included in everything but several of the items reported in the currently operated.
Answer:
C.
Explanation:
Data mining is the process of extracting information from the company´s various databases and reorganizing it for porposes other than what the databases were originally intended for.
It provides a means of extracting previously unknown, predictive information from the base of accessible data in data warehouse.
Data mining process is different for different organizations depending upon the nature of the data and organization.
Data mining tools are sophisticated, automated algorithms to discover hidden patterns, correlations, and relationships among organizational data.
