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oee [108]
3 years ago
7

Why do you think p2p apps have become so popular?

Business
1 answer:
Sphinxa [80]3 years ago
4 0

P2P payment apps are popular in the U.S. because they make the exchange of money easy. Nearly half (46%) of smartphone owners say they regularly use peer-to-peer payment apps. These apps offer convenience and flexibility when it comes to making payments.

You might be interested in
What are the principal tools and technologies for accessing information from databases to improve business performance and decis
slamgirl [31]

Answer:

There are many principal tools and technologies for accessing information from databases that help make business performance and decision making better.

Data warehouse:

  • A data warehouse is a big database that houses all the data that is needed to make decisions throughout the whole organization.

How a data warehouse works:

  • The data warehouse first takes all the data from the company's operational systems and combines it with the data that is pulled from outside sources.
  • This collection of data is reformatted into one database that is used for management reporting analysis.

How it benefits organizations:

  • A data warehouse benefits organizations by making data available for anyone to access as needed.
  • This keeps the data information secure and can prevent redundancies or inconsistencies.
  • It ultimately helps management make decisions that will help the company move forward.

Business intelligence:

  • Business intelligence is the term used to describe the data and software tools for organizing, analyzing, and providing access to data in order to help a company make better decisions.
  • The tools give user the opportunity to analyze data in hopes of seeing new patterns and relationship that are useful for better decision making.

How it relates to database technology:

  • The tools for business intelligence consist of software that performs database querying and reporting, multidimensional data analysis, and data mining.
  • The data can be analyzed by the company once it is made available in the data warehouse. Online analytical processing (OLAP):
  • OLAP allows end users to view data in many ways through the support of multidimensional data analysis.
  • Different information on a certain piece of data would be represented in a different dimension. Comment

OLAP capabilities:

  • A multidimensional model can be designed to represent products, regions, actual sales, and projected sales.
  • A matrix of actual sales is put on top of a matrix of projected sales in order to form a cube consisting of six faces.
  • Rotating the cube 90 degrees one way will show the product versus actual and projected sales.
  • Rotating the cube 90 degrees again will show the region versus actual and projected sales.
  • Rotating the cube 180 degrees from the original view will show the projected sales and product versus region.

Data mining:

  • Data mining is defined as a process that provides a business with insights into company data through the searching of patterns and relationships that will help better foresee future behavior.
  • Data mining helps make better decisions and predicts the effects that may result from those said decisions.

How it is different from OLAP:

  • OLAP requires the user to have a good idea about the information for which they are looking.
  • Data mining doesn't require the need to have a good idea about the information for which they are looking.
  • Also, OLAP doesn't have the capabilities to search for hidden patterns and relationships in large databases.

The type of information that data mining provides:

Associations:

  • Occurrences that are connected to a single event.
  • Patterns in sales can be analyzed to provide managers with better decision making.

Sequences:

  • Occurrences when events are connected over time.

Classifications:

  • The recognition of patterns and relationships that define the group to which an item belongs.
  • Classification helps discover the characteristics of a customer so that managers will be able to come up with ways to keep those customers from leaving.

Clusters:

  • Similar to how classifications operate except for the fact that groups haven't been defined.
  • Clusters make it possible to discover different groupings in the company data.

Forecasts:

  • Forecasts make predictions by using existing values to predict what other values will be.
  • Forecasting provides a way for the company to predict the values of their sales figures.

Text mining:

  • Tools for analyzing data that work by obtaining important elements from unorganized data sets, finding patterns, and summarizes the data so that a company can make better decisions for the business.

Web mining:

  • Web mining is defined as the analysis of patterns and relationships from the World Wide Web.  

How they differ from conventional data mining:

  • Conventional data mining finds patterns and relationships in information that is structured.  

The way that users can access information from a company's internal databases through the Web:

  • A user can access information from a company's internal databases through the Web is by using Web browser software on their PC.
  • The requests are done by using HTML commands to communicate with the Web server.
  • The Web server passes the requests for data to software that translates HTML commands into structured query language (SQL) so that they can be processed by the DBMS working with the database.
  • The DBMS receives the SQL requests and provides the needed data.

8 0
3 years ago
When the insured knows more about their circumstances than the insurer, there is
elena-s [515]

When the insured party knows more about his or her circumstances than the insurer, then there is: B. All of these.

<h3>What is an insurance company?</h3>

An insurance company is a business firm that is establish to collect premium from all of the insured for losses which may or may not occur, so they can easily use this cash to compensate or indemnify for losses incurred by those having high risk.

In Economics, when the insured party knows more about his or her circumstances than the insurer, then there is:

  • Adverse selection
  • Propitious selection
  • Moral hazard
  • Asymmetric information

Read more on insurance here: brainly.com/question/16789837

#SPJ1

4 0
1 year ago
The process of developing budget estimates by requiring managers to estimate sales, production, and other operating data as thou
user100 [1]

Answer:

Zero based budgeting

Explanation:

Zero-based budgeting is a process of developing budget estimates by requiring managers to estimate sales, production, and other operating data as though operations were being initiated for the first time.

It is time consuming compared to other method of budgeting ( traditional).

Zero-based budgeting (ZBB) is a method of budgeting where income less expenditure is equal to zero.

It is a budgeting in which all expenses must be justified for each new period. It is detail-oriented.

Zero-based budgeting can be used to lower costs by avoiding blanket increases or decreases to a prior period's budget.

zero-based budgeting may be a rolling process done over several years.

8 0
3 years ago
Read 2 more answers
A. English Common Law<br> B.Ethical dilemmas<br> C.Stare decisis<br> D.Utilitarian decision making
kumpel [21]

Answer:

C

Explanation:

no idea what a,b,c, and d are for. no question?

3 0
3 years ago
Currently, the yield curve is ascending. A customer believes that the Federal Reserve will start to tighten credit by raising sh
sleet_krkn [62]

Answer:

Short-selling long-term bonds and taking long position on short-term assets

Explanation:

When the yield curve ascends, the long-term bond's price will go down. Hence, do short-sell the long-term bonds. On the other hand, short-term asset's price will be depreciated because Fed tightens credit and raise short-term rate, which is the chance to purchase and make profits from capital gains.

3 0
3 years ago
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