Answer:
Refer below.
Explanation:
I foresee that loan costs would fall with the arrival of forward-thinking, dependable data on all organizations wishing to give bonds on account of expanded buyer request. This data would make it simpler for financial specialists to decide the reliability of firms and request should rise on account of the simplicity and help in dynamic. At the point when request rises, loan fees decrease.
Answer:
D. brings buyers and sellers together
Explanation:
Answer:
Mary has increased her data literacy skills that now allow her to access, interpret, summarize, and communicate data more effectively.
Explanation:
Data analysis is the process by which data is transformed in such a way that useful information can be extracted from it. Data analysis is a key skill that is needed in most business nowadays, for example; financial data can be very crucial in the planning, budgeting and execution of projects. The process of data analysis has been automated to take raw data and produce a result that can be readily consumed easily by humans in the form of charts and graphs. From this end result, conclusions can be drawn by data experts on what the results mean.
Experts in data analysis are therefor needed to adequately access, interpret, summarize and communicate data more effectively. These are skills that need to be learned for better overall quality of the data presentation. In general, the principals are referred to as data literacy skills. Data literacy can be defined as the ability of an individual to extract useful information from raw data.
Answer:
In every form of analysis, it is always safer to take a macro or holistic view of the situation. This is true for the investment performance of a manager. One investment decision that went right does not suffice to classify an investment portfolio manager as proficient, neither is one that went south enough to tag him deficient.
The forecasting ability of managers, on the balance of probability, will vary for different cases, with a helicopter view of providing a more accurate measure of their performance.
However, if it was possible to analyse the market for volatility and adjust our forecasts it becomes unnecessary to look at and analyse all the information from a 12-month cycle before coming to terms about the performance of the manager.
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Answer:
B. False.
Explanation:
The above statement is false in that it asserts that information has not become the lifeblood of every organization. While it's true that an increasing volume of information today has increased and exchanged through the social networks and web2.0 tools like blogs, microblogs and wikisa, this further lends credence to the indispensability of information in this contemporary times.
In contrast, what Frank and Smallwood(2013) preached was that information has now become a lifeblood of every organization. This is an undisputed reality in their study and intellectual intervention. Thus, they went on give a demographic distribution of information through the use of social networks and/or web2.0 tools like blogs, microblogs, and wikisa.