Answer:
data warehouse
Explanation:
A data warehouse , also known as an enterprise data warehouse , is a system used for reporting and data analysis, and is considered as a core component of Business Intelligence environment. data warehouse are central repositories of integrated data from one or more disparate sources. They store current and historical data and are used for creating analytical reports for knowledge workers throughout the enterprise. In short, a data warehouse is a database organised in a way that is conductive to producing business analytics quickly and accurately. Relevant data is extracted from one or more operational systems and brought together in a single place (warehouse) to provide a business with a central store of data. Business intelligence (BI) is a process for analyzing data and deriving insights to help businesses make decisions. In an effective BI process, analysts and data scientists discover meaningful hypotheses and can answer them using available data. For example, if management is asking “how do we improve conversion rate on the website?” BI can identify a possible cause for low conversion. The cause might be lack of engagement with website content. Within the BI system, analysts can demonstrate if engagement really is hurting conversion, and which content is the root cause. The tools and technologies that make BI possible take data stored in files, databases, data warehouses, or even on massive data lakes—and run queries against that data, typically in SQL format. Using the query results, they create reports, dashboards and visualizations to help extract insights from that data. Insights are used by executives, mid-management, and also employees in day-to-day operations for data-driven decisions.
Answer:
Explanation:
Marginal propensity to consume (MPC) = Change in consumer spending / Change in disposable income.
= (380 - 180) / (350 - 100)
= 200 / 250
= 0.80
Marginal propensity to save (MPS) = 1 - Marginal propensity to consume (MPC) = 1 - 0.80 = 0.20
Autonomous consumption (A) = Consumption spending (C) - Marginal propensity to consume * Disposable income.
= 180 Million - 0.80 * 100 Million
= 180 Million - 80 Million
= $ 100 Million.
Aggregate consumption function = 100 Million + 0.8 * YD
YD - disposable income
Answer:
Dog.
Explanation:
In 1970, Bruce D. Henderson developed and created a growth-share matrix for the Boston Consulting Group (BCG). The Boston Consulting Group (BCG) growth-share matrix is a tool used for analyzing and planning product lines in a business unit. It makes use of a graphical representation of a company's product line and services to analyze and make long-term strategic plans on which to invest more on or sell off.
Generally, products are divided into four (4) main categories in the BCG growth-share matrix;
1. Dogs.
2. Stars.
3. Question marks.
4. Cash cows.
A dog refers to a product or business unit that has a very low growth rate or market share and as such generates insufficient amount of revenues.
In this scenario, Camaro isn't able to generate sufficient (enough) cash to sustain its manufacturing or production process, the Boston Consulting Group (BCG) portfolio would classify it as a dog.
Answer
The answer and procedures of the exercise are attached in the following archives.
Explanation
You will find the procedures, formulas or necessary explanations in the archive attached below. If you have any question ask and I will aclare your doubts kindly.
Answer:
$416
Explanation:
The computation of price set by the merchant is shown below:-
We need to use the equation with the help of given information
Let us assume the price be x
x - 25% of x = $260 + 20% of $260
x - 0.25 x = $260 + 0.20 × $260
x - 0.25 x = $260 + $52 ..... (i) equ
Now we will solve the equation of x
(1 - 0.25)x = $312
0.75x = $312
x = $312 ÷ 0.75
x = $416
