(1)
Cluster analysis
is a technique used to divide an information set into mutually exclusive groups such that the members of each group are as close together as possible to one another and the different groups are as far apart as possible.
What is the process of organizing data into categories or groups for its most effective and efficient use?
Classification analysis
: is the process of organizing data into categories or groups for its most effective and efficient use.
What is the common term for the representation of multidimensional information?
A cube
is the common term for the representation of multidimensional information. … A dimension is a particular attribute of information.
What is analysis latency?
Analysis latency;
the time taken to analyze the data and turn it into actionable information
. Action latency; the time taken to react to the information and take action.
What is it called when each transaction entity and event is represented only once in the data?
Unique
. is each transaction and event represented only once in the information (no duplicates) Entity.
How are data classified and arranged in research?
The tabular form of such classification is known as statistical series, which may be inclusive or exclusive. The classified data may be arranged in
tabular forms (tables) in columns and rows
. Tabulation is the simplest way of arranging the data, so that anybody can understand it in the easiest way.
What is the process of analyzing data to extract information?
Data mining
is the process of analyzing data to extract information not offered by the raw data alone. Data Analysis can be divided into Estimation Analysis, Affinity Grouping Analysis, Cluster Analysis, and Classification Analysis.
What is extraction transformation and loading quizlet?
ETL (extraction, transformation, and loading) A
process that extracts information from internal and external databases
, transforms the information using a common set of enterprise definitions, and loads the information into a data warehouse.
What is a process that weeds out and fixes or discards inconsistent incorrect or incomplete data?
Information Cleansing or Scrubbing
. A process that weeds out and fixes or discards inconsistent, incorrect, or incomplete information. Data Rich Information Poor.
What was the CRM metric Sprint used to analyze?
What was the CRM metric Sprint used to analyze
customer calls
? Takes information entered into a given system and sends it automatically to all downstream systems and processes. The integration of data from multiple sources, which provides a unified view of all data.
What is latency in data processing?
1. Data latency is
the time it takes for data packets to be stored or retrieved
. 2. In business intelligence (BI), data latency is how long it takes for a business user to retrieve source data from a data warehouse or business intelligence dashboard.
How can we handle data latency?
Browser caching
: Another type of caching that can be used to reduce latency is browser caching. Browsers will cache certain resources of a website locally in order to help improve latency times and decrease the number of requests back to the server.
How do you measure latency of data?
The more common way of measuring latency is called
“round-trip time” (or RTT)
, which calculates the time it takes for a data packet to travel from one point to another on the network and for a response to be sent back to the source.
Which of the following represents the information levels in an organization?
Which of the following represent the information levels in an organization?
individual, department, and enterprise
. Which of the following represent the information formats in an organization? document, presentation, and database.
Which of the following represents a subset of the data in an enterprise data warehouse?
Data Mart Layer
– Data mart represents subset of information from the core DW selected and organized to meet the needs of a particular business unit or business line. Data mart can be relational databases or some form on-line analytical processing (OLAP) data structure.
What maintains information about various types of objects events people and places?
- Database. maintains information about various types of objects, events, people and places.
- A databse management system (DBMS) …
- Query-by-example. …
- structured query language. …
- data element. …
- metadata. …
- data dictionary. …
- relational database model.
What are data collection techniques?
Data collection techniques include
interviews, observations (direct and participant), questionnaires, and relevant documents
(Yin, 2014). For detailed discussions of questionnaires, interviews and observation, see Chapter 16: Questionnaires, individual interviews, and focus group interviews and Chapter 17: Observation.
What methods are used to analyze qualitative data?
- Qualitative content analysis.
- Narrative analysis.
- Discourse analysis.
- Thematic analysis.
- Grounded theory (GT)
- Interpretive phenomenological analysis (IPA)
What is data analysis technique in research?
Data Analysis. Data Analysis is
the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data
. … An essential component of ensuring data integrity is the accurate and appropriate analysis of research findings.
How do you implement data classification?
- Complete a risk assessment of sensitive data. …
- Develop a formalized classification policy. …
- Categorize the types of data. …
- Discover the location of your data. …
- Identify and classify data. …
- Enable controls. …
- Monitor and maintain.
What methods are used in qualitative data analysis?
Data collection. The methods of qualitative data collection most commonly used in health research are
document study, observations, semi-structured interviews and focus groups
[1, 14, 16, 17].
What are the methods of analyzing data in quantitative research?
The two most commonly used quantitative data analysis methods are
descriptive statistics and inferential statistics
.
What is distributed computing quizlet?
Definition: distributed computing.
A series of computers networked together, each working on solving the same problem, sharing the same processing
.
What do data warehouses support *?
At its simplest, data warehouse is a system used for storing and reporting on data. … It is used to analyze data. Data warehouses are analytical tools, built to support
decision making and reporting for users across many departments
. They are also archives, holding historical data not maintained in operational systems.
What is extraction transformation and loading in the context of data warehouse quizlet?
Extract Transform Load (ETL) The
process of pulling data out of the source system
and into the data warehouse. Extract, transform (clean the data), load.
What is a process that extracts information from internal and external databases transforms it using a common set of enterprise definitions and loads it into a data warehouse?
ETL
is a process that extracts information from internal and external databases, transforms the information using a common set of enterprise definitions, and loads the information into a data warehouse. … The data warehouse then sends subsets of the information to data marts.
How do you calculate recency?
Recency (R) as days since last purchase: How many days ago was their last purchase?
Deduct most recent purchase date from today
to calculate the recency value.
What is a sprint in CRM?
A sprint is
a time-boxed iteration of software development during
which we analyse, design, develop and test working CRM software based on the highest priority items in the product backlog.
How do you calculate customer recency?
Recency =
the maximum of “10
– the number of months that have passed since the customer last purchased” and 1. Frequency = the maximum of “the number of purchases by the customer in the last 12 months (with a limit of 10)” and 1.
Is the process of detecting patterns in data?
Data mining
is the process by which organizations detect patterns in data for insights relevant to their business needs. It’s essential for both business intelligence and data science.
Which of the following creates updates and deletes data in a database while controlling access and security?
provide real-time information in response to requests. … maintains information about various types of objects (inventory), events (transactions), people (employees), and places (warehouses).
database management system
. creates, reads, updates, and deletes data in a database while controlling access and security.
How do you calculate network latency distance?
To that estimate, add 100 miles for the local metro fiber path at each end, double the result (to get the round-trip distance),
divide
by 124 miles/msec, and add 2 milliseconds (for the electronics). For example, a Chicago/Dallas wavelength latency estimate might be: 925 miles x 110% = 1017.5 miles.
What is ping or latency?
What is latency? While the ping is the signal that’s sent from one computer to another on the same network, latency is
the time (in milliseconds)
that it takes for the ping to return to the computer. So latency is a measurement of the entire round trip of that signal while ping is just one way.
How is latency and throughput calculated?
Formula to Calculate TCP throughput
TCP-Window-Size-in-bits / Latency-in-seconds = Bits-per-second-throughput
So lets work through a simple example. I have a 1Gig Ethernet link from Chicago to New York with a round trip latency of 30 milliseconds.
What is database latency?
Database latency is
the time it takes to send, execute and receive a response for a minimal database query
.
What is high latency?
When delays in transmission are small, it’s referred to as a low-latency network (desirable) and longer delays are called a high-latency network (
not so desirable
). Long delays that occur in high-latency networks create bottlenecks in communication.
What is analysis latency?
Analysis latency;
the time taken to analyze the data and turn it into actionable information
. Action latency; the time taken to react to the information and take action.
What are the 4 components of latency?
As depicted in Figure 1, end-to-end latency is commonly broken down into four compo- nents of 1)
processing delay
, due to processing speed, 2) queueing delays in nodes (hosts and network routers and switches), 3) trans- mission delay due to the bit-rate of transmission, and 4) propaga- tion delays due to physical …
What is latency in data communication?
Latency is
a measure of delay
. In a network, latency measures the time it takes for some data to get to its destination across the network. It is usually measured as a round trip delay – the time taken for information to get to its destination and back again. … Latency is usually measured in milliseconds (ms).
What factors affect latency?
Latency is affected by several factors:
distance, propagation delay, internet connection type, website content, Wi-Fi, and your router
.
What is a logical data structure that details the relationship among data elements?
A logical data model
establishes the structure of data elements and the relationships among them. It is independent of the physical database that details how the data will be implemented.
What includes different forms of structured and unstructured data?
Variety
includes different forms of structured and unstructured data. Veracity includes the uncertainty of data, including biases, noise, and abnormalities. Volume includes the scale of data. Velocity includes the analysis of streaming data as it travels around the Internet.
Which of the following is an example of structured data quizlet?
Structured data is data that can be organized in a format easily used by a database or other technology. Examples of structured data would include
numbers and dates
.
