Data Analytics
In what decade did disjointed information systems begin to be integrated
1980s
Natural language processing (NLP) is associated with which of the following areas?
All of these
What does Web content mining involve?
Analyzing the unstructured content of web pages
Consistent high quality, higher publishing frequency, and longer time lag are all attributes of industrial publishing when compared to web publishing....
False
Dashboards provide visual displays of important information that is consolidated and arranged across several screens to maintain data order -
False
Data mining can be very useful in detecting patterns such as credit card fraud, but is of little help in improving sales----
False
Information sysyems tyhat support such transctions as ATM withdrawls....
False
K-Fold cross validation is also called sliding estimation....
False
Search engines are only used in the context of the WORLD WIDE WEB (WWW)----
False
to respond to its market challenges, SiriusXM decided to focus on manufacturing efficiency....
False
what does the robustness of a data mining method refer to?
Its ability overcome noisy data to make somewhat accurate predictions
what does the scalability of a data mining method refer to?
Its ability to construct a prediction model efficiently given a large amount of data
Oper marts are created when operational data needs to be analyzed
Multidimensional
which of the following BEST enables a data warehouse to handle complex queries and scale up to handle many more requests?
Parallel processing
What type of analytics seeks to determine what is likely to happen in the future?
Predictive
Data is the main ingredient for any BI, data science, and business analytics intivative...
TRUE
One of SIRIUSxm's challenges was tracking potential customers when cars were sold
TRUE
Regional accents present challenges for natural language processing. ----
TRUE
In sentiment analysis,s, which of the following is an implicit opinion
The Customer service I got for my TV was laughable
what do voice of the market (VOM) applications of sentiment analysis do?
They examine customer sentiment at the aggregate level.
In the Opening vignette on sports analytics what adjusted to drive one-time ticket sale
Ticket prices
Current use of sentiment analysis in voice of the customer applications allows companies to change their products or services in areal time in response to customer sentiment.----
True
If using a mining analogy " knowledge mining" would be more appropriate term than data mining"--
True
In data mining, classification models help in prediction....
True
The cost of data storage has plummeted recently, making data mining feasible for more firms...
True
Sentiment analysis projects require a lexicon for use. If a project in English is undertaken, you must generally make sure to
Use an english lexicon appropriate to the project at your discretion.
Search engine optimization (SEO) is a means by which
Website developers can increase website search rankings
which of the following is an umbrella term that combines architecture, tools, databases, analytical, tools, applications and methodologies?
BI
Which broad area of data mining applications analyzes data, forming rules to distinguish between defined classes?
Classification
In which stage of extraction, transformation, and load (ETL) into a data warehouse are anomalies detected and corrected?
Cleanse
In text analysis, what is a lexicon?
catalog of words, their symptoms and their meanings.
In text mining, tokenizing is the process of
categorizing a block of text in a sentence.
Which data mining process/methodology is thought to be the most comprehensive, according to kdnuggets.com
crisp-dm
Business Intellience(BI) is a specific term that describes architectures and tools only....
false
Computerized support is only used for organizational decisions that are responses to external pressures, not for taking advantage .....
false
Managing information on operations, customers internatal...
false
Search engine optimization (SEO) techniques play a minor roles in a website's search ranking because only well-written content matters.---
false
organizations seldom devote a lot of effort to creating metadata because it is not important for the effective use of data warehouse...
false
properly trivial
false
the data storage component of a business reporting system...........................
false
the hub and spoke data warehouse model uses a centralized warehouse feeding dependent data marts...
false
What types of analytics seeks to recognize what is going on as well as the likely forecast and make decisions to achieve the best performance possible?
prescriptive
Prediction problems where the variables have numeric values are most accurately defined as
regression
Articles and auxiliary verbs are assigned little value in text mining and are usually filtered out---
true
Computer applications have moved from transaction processing and monitoring activiaties to problem analysis and solution applications....
true
During the early days of analytics, data was often obtained from the domain experts using manual processes to build mathematical or knowledge-base models.....
true
Many business users in the 1980s referred to their mainframes as "the black hole"......
true
one way an operational data store differs from a data warehouse is the recency of their data...
true
the "islands of data: problem in the 1980s describes the phenomenon of unconnected data being stored in numerous locations within an organization...
true
with key performance indicators, driver KPIs have a significant effect on outcome KPIs, but the reverse is not necessarily true...
true
Which broad area of data mining applications partitions a collection of objects into natural groupings with similar features?
Clustering
How are enterprise resources planning (ERP) systems related to supply chain management (SCM) systems?
Complementary systems.
The need for more versatile reporting than what was available in 1980s era ERP systems led to the development of what type of system
Executive information systems.
Data mining requires specialized data analysts to ask ad hoc questions and obtain answers quickly from the system...
False
Decision support system (DSS) and management information system (MIS)...
False
In sentiment analysis, sentiment suggests a transient, temporary opinion reflective of one's' feelings. ----
False
In the Miami- Dade Police Department case study, predictive analytics helped to identify the best schedule for officers in order to pay the least overtime...
False
Moving the data into a data warehouse is usually the easiest part of its creation....
False
Open-source data mining tools include applications such as IBM SPSS Modeler and Dell Statistica...
False
Since little can be done about visitor website abandonment rates, organizations have to focus their efforts on increasing the number of new visitors....
False
Text analytics is the subset of text mining that handles information retrieval and extraction, plus data mining ----
False
The BPM development cycle is essentially a one-slot process where the requirement is to get it right the first time ----
False
The growth in hardware, software, ....
False
Web Based media has nearly identical cost and scale structures as traditional media...
False
data source reliability means that data are correct and are a good match for the analytics problem..
False
data warehouses are subsets of data marts....
False
in the opening case, police detectives used data mining to identify possible new areas of inquiry---
False
successfull BI is a tool for the information systems department, but is not exposed to the larger organization...
False
All of the following are benefits of hosted data warehouses EXCEPT
Greater control of data
How does the use of cloud computing affect scalability of a data warehouse?
Hardware resources are dynamically allocated as use increases.
In the opening vignette on sports analytics, what type of modeling was used to predict offensive tactics?
Heat maps
which data warehouse architecture uses a normalized relational warehouse that feeds multiple data marts?
Hub-and-spoke data warehouse architecture
Data warehouses provide direct and indirect benefits to organizations. Which of the following is an indirect benefit of data warehouses?
Improved customer service
Which kind of data warehouse is created separately from the enterprise data warehouse by a department and not reliant on it for updates?
Independent data mart
Which of the following statements about Big Data is true?
Pure big data systems do not involve fault tolerance
Which of the following is NOT an example of transaction processing
Sales report
Clustering partitions collection of things into segments whose members share
Similar characteristics
Categorization and clustering of documents during text mining differ only in preselection of categories----
True
Clickstream analysis does not need users to enter their perceptions of the website or other feedback directly to be useful in determining their preferences.----
True
In sentiment analysis, it is hard to classify some objects such as news as good or bad, but easier to classify others, e.g., movie reviews, in the same way,---
True
Predictive algorithms generally require a flat file with a target variable, so making data analytics ready for prediction means that the data sets must be transformed into a flat file format and made ready for ingestion into those predictive algorithms.....
True
because of performance and data quality issues. Most expert agree that the federated architecture should supplement data warehouses, not replace them...
True
using data mining on data about imports and exports can help to detect tax avoidance and money laundering.
True
when a problem has many attributes that impact the classification of different patterns, decisions trees may be a useful approach...
True
Website usability may be rated poor if
Website visitors download few of your offered pdfs and videos.
when telling a story during presentation, it is best to avoid describing hurdles that your character to overcome......
false
with the balanced scorecard approach, the entire focus is on measuring and managing specific financial goals based on the organization's strategy...
false
Identifying and preventing incorrect claim payments and fraudulent activities falls under which type of data mining applications?
insurance
The data field" ethnic group can be best described as
nominal data
why is a performance management system superior to a performance measure system?
because measurement alone has little use without action
What is Six Sigma?
A methodology aimed at reducing the number of defects in a business process.
which of the following is a data mining myth?
Data mining requires a separate, dedicated database
Business applications have moved from transaction processing and monitoring to other activities. Which of the following is NOT one of those activities?
Data monitoring
In data mining, finding an affinity of two products to be commonly together in a shopping cart is known as
Decision trees
A data mining study is specific to addressing a well-defined business task, and different business tasks require
Different sets of data
all of the following are challenges associated with natural language processing EXCEPT
Dividing up a text into individual words in English
When querying a dimensional database, a user went from summarized data to its underlying details. The function that served this purpose is
Drill down
The very design makes an OLTP system efficient for transaction processing makes it efficient for
End-user ad hoc reports, queries, and analysis.
Which approach to data warehouse integration focuses more on sharing process functionality than data across systems?
Enterprise application integration
