online Information is changed through analytical processing in order to produce business intelligence to aid in strategic decision-making.
MEANING
Online analytical processing, also known as OLAP, is a method used in computing to quickly respond to multi-dimensional analytical (MDA) inquiries. The broader field of business intelligence, which also includes relational databases, report writing, and data mining, includes OLAP as one of its subcategories. Business reporting for sales, marketing, management reporting, business process management (BPM), budgeting and forecasting, financial reporting, and related sectors are typical OLAP applications. New applications, such agricultural, are emerging.
Online transaction processing, a traditional database phrase, was slightly modified to become OLAP (OLTP).
Users of OLAP technologies can interactively evaluate multidimensional data from many angles. area, etc.
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B ) it should provide the name and address of your business
This scenario exemplifies "integration".
<u>Answer:</u> Option D
<u>Explanation:</u>
A set of procedures necessary to maintain proper coordination of the different components of the programs is termed as "Integration management". It involves making trade offs between competing goals and options to meet or exceed the needs and wishes of the stakeholders.
The primary reason companies are using system integration is their want to boost productivity and organizational performance. An instance of integration is when the schools were desegregated, and African Americans no longer had segregated schools.
Answer:C. Buying equipment on account.
Explanation:
If a supply chain manager can reduce inventory while keeping the flow rate constant, little's law predicts flow time will go down.
Little's Law is a theorem that calculates the average number of items in a stationary queuing system based on an item's average waiting time and the average number of items arriving at the system per unit of time.
The law establishes a straightforward and obvious method for evaluating the efficiency of queuing systems.
The notion is extremely important for business operations since it states that the number of items in the queuing system is determined primarily by two essential variables and is unaffected by other factors such as service distribution or service order.
Hence, the answer is that the flow time will go down.
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