Chapter 3: Data Management, Big Data Analytics, and Records Management

a. Big data analytics
b. Data discovery
c. Master data management
d. Information optimization
________ enable managers to predict how customers would behave and use that knowledge to be prepared to respond quickly. Section Reference: Data Warehouse and Big Data Analytics
a. Active
b. Always-on
c. Dynamic
d. Operational
In the past, data was transferred from OTLP databases to data warehouses periodically, say once a month or even once a week. Now, the trend is toward ___________, or real-time, data warehousing so that analysis and decision support apps use current data.
a. The ADW is less expensive to install and operate
b. Data from an ADW can be used for DSS, report generation and Business Intelligence
c. Data in an ADW is constantly updated, providing more current data than a traditional data warehouse
d. The ADW is more widely available from a larger number of vendors
What is the key advantage of an active data warehouse compared to a traditional data warehouse? Section Reference: Data Warehouse and Big Data Analytics
a. 10
b. 20
c. 40
d. 60
The McKinsey Global Institute (MGI) estimates that retailers using big data analytics increase their operating margin by more than ________ percent. Section Reference: Data Warehouse and Big Data Analytics
a. Big data analytics
b. Data mining
c. Extract, transformation, load (ETL)
d. Data de-duplication
________ processes move data from databases into data warehouses or data marts, where the data are available for access, reports, and analysis. Section Reference: Data Warehouse and Big Data Analytics
a. physical objects
b. satellites
c. smartphones
d. vehicles
Machine-generated sensor data from________ are becoming a much larger proportion of big data and analytics. Section Reference: Data Warehouse and Big Data Analytics
a. Oracle
b. Hadoop
c. ADW
d. MySQL
Big data volumes that exceed the processing capacity of conventional infrastructures are processed using the ________ platform. Section Reference: Data Warehouse and Big Data Analytics
a. NoSQL
b. Data mining
c. Hadoop
d. Nexus
____________ software enables users to analyze data from various dimensions or angles, categorize them, and find correlations or patterns among fields in the data warehouse.
a. Media metrics
b. Unstructured analytics
c. Text mining
d. Media mining
_____________ helps companies tap into the massive volume of customer opinions expressed online. Section Reference: Data and Text Mining
a. Slower response time
b. Security risk
c. Backup risk
d. Increased costs
Which of the following is not a risk associated with cloud-based BI?
a. Smart devices and demand for 24/7 access to insights
b. Proprietary information systems
c. Cloud-enabled BI and analytics
d. Increased amounts of data
All of the following are factors contributing to the increased use of BI, except:
a. data
b. reports
c. information
d. records
________ are documentation of business events, actions, decisions, or transactions.
Section Reference: Electronic Records Management
a. Electronic records management
b. Business management
c. Compliance
d. Digital Document
______________ systems consist of hardware and software that manage and archive electronic documents and image paper documents; then index and store them according to company policy. Section Reference: Electronic Records Management
a. Senior management
b. CIOs
c. Corporate lawyers
d. Workers
________ must ensure that their companies comply with legal and regulatory duties by managing electronic records. Section Reference: Electronic Records Management
a. archives
b. liabilities
c. breach of contracts
d. lawsuits
Improperly managed or destroyed business records become ________.
a. The volume of documents that must be reviewed to determine if they should be retained or destroyed
b. Loading documents onto company websites
c. Sharing documents across geographic locations
d. Translating documents into other languages
Companies have always faced the challenge of managing physical documents. Which of the following is the most significant challenge associated with managing physical documents?
a. megabyte
b. petabyte
c. millabyte
d. gigabyte
________ equals 1,000 terabytes. Section Reference: Chapter Snapshot and Opening Case
a. Human skill
b. Human experience
c. Human knowledge
d. Human expertise
___________ and judgment are needed to interpret the output of data analytics.
a. warehouses
b. clouds
c. mining
d. text
Data ________ are the primary source of cleansed data for analysis, reporting, and BI.
a. Report
b. Query
c. Period
d. Transitional
An ad-hoc request for specific data or information from a database or warehouse is called a ______________. Section Reference: Database Management Systems
a. volatile
b. useless
c. secure
d. stable
Databases are ________ because data are constantly being updated, added, or edited. Section Reference: Database Management Systems
a. SQL
b. Hadoop
c. MicroQuery
d. Chiefs
A widely used big data processing platform is Apache ________. Section Reference: Database Management Systems
a. Database
b. Data mine
c. SQL
d. cloud
Data generated by business apps, sensors, and transaction processing systems (TPS) are typically stored first in a ___________. Section Reference: Data Warehouse and Big Data Analytics
a. Warehouses
b. base
c. marts
d. clouds
Data ___________ integrate data from multiple databases and data silos and organize them for complex analysis, knowledge discovery, and to support decision making. Section Reference: Data Warehouse and Big Data Analytics
a. Data mines
b. Cloud-storage
c. Database
d. Data marts
___________ are small-scale data warehouses that support a single function or department. Section Reference: Data Warehouse and Big Data Analytics
a. Cloud-Com
b. Enterprise
c. Cloud-computing
d. Experience
Data warehouses that integrate data from databases across an entire organization are called ____________ data warehouses. Section Reference: Data Warehouse and Big Data Analytics
a. Inactive
b. Open
c. Active
d. Closed
_____________ data warehouses are relatively new OLAP systems that are updated in real-time, providing the most current data available for analysis and decision support apps. Section Reference: Data Warehouse and Big Data Analytics
a. Chiefs
b. SQL
c. Hadoop
d. MicroQuery
A widely used platform for processing big data is Apache ________. Section Reference: Data Warehouse and Big Data Analytics
40.a. Database
b. Data text
c. Data mining
d. Data search
Specialized software used to analyze large data sets to find patterns, correlation, trends, or other meaningful relationships are called __________ tools. Section Reference: Data and Text Mining
a. Text mining
b. Text data
c. Texting
d. Data search
_____________________ is a process used to analyze an organization’s non-structured data that comes from word processing documents, social media, text messages, audio, faxes, memos, call center or claims notes, and so on. Section Reference: Data and Text Mining
a. plan
b. design
c. arrangement
d. record
A business ________ is documentation of a business event, action, decision, or transaction. Section Reference: Electronic Records Management
a. arrangement
b. tax
c. daily
d. legal
Companies have a(n) ________ duty to retain business records. Section Reference: Electronic Records Management
True/False
Volatile refers to data that change frequently. Section Reference: Database Management Systems
True/False
Online transaction processing (OLTP) systems are designed to manage transaction data, which are volatile. Section Reference: Database Management Systems
True/False
Operational intelligence refers to the credentials, technological skills, decision making abilities, and industry experience of key leaders in an organization. Section Reference: Database Management Systems
True/False
Traditional databases are not well suited for managing unstructured data such as customer comments and tweets. Section Reference: Database Management Systems
True/False
According to the 90/90 data-use principle, a majority of stored data, as high as 90 percent, is often accessed after 90 days. Section Reference: Database Management Systems
True/False
Profit margin is a measure of the percent of a company’s revenue left over after paying for its variable costs, such as wages and raw materials. Section Reference: Data Warehouse and Big Data Analytics
True/False
Big data can have a significant positive impact on the success of any enterprise, or be a low-contributing major expense. Section Reference: Data Warehouse and Big Data Analytics
True/False
Data analytics will produce results, but those results might be meaningless or misleading. Section Reference: Data Warehouse and Big Data Analytics
True/False
Data are worthless if you cannot analyze, interpret, understand, and apply the results in context. Section Reference: Data Warehouse and Big Data Analytics
True/False
MapReduce breaks up the huge dataset into smaller subsets; then distributes the subsets among multiple servers where they are partially processed. Section Reference: Data Warehouse and Big Data Analytics
True/False
Data and text mining are used to discover knowledge that you did not know existed in the databases. Section Reference: Data and Text Mining
True/False
To improve quality, McDonald’s bakery operation replaced manual equipment with high-speed photo analyses to inspect thousands of buns per minute for color, size, and sesame seed distribution. Section Reference: Data and Text Mining
True/False
Up to 25 percent of an organization’s data are nonstructured word-processing documents, social media, text messages, audio, video, images and diagrams, fax and memos, call center or claims notes, and so on. Section Reference: Data and Text Mining
True/False
Data mining is important because any customer can become a brand advocate or adversary by freely expressing opinions and attitudes that reach millions of other customers on social media. Section Reference: Data and Text Mining
True/False
Social commentary and social media are mined for sentiment analysis or to understand consumer intent. Section Reference: Data and Text Mining
True/False
Mining text or nonstructural data enables organizations to forecast the future instead of merely reporting the past. Section Reference: Data and Text Mining
True/False
Using BI, Quicken Loans has increased the speed from loan application to close, which allows it to meet client needs as thoroughly and quickly as possible. Section Reference: Business Intelligence
True/False
BI systems are powerful, but limited to the support of strategic decision making because of their cost and complexity. Section Reference: Business Intelligence
True/False
BI programs usually combine a database, dashboard, and platform to transform data into usable, actionable business information. Section Reference: Business Intelligence
True/False
Companies invest in BI in order to be able to analyze all of their data.
True/False
.In order to help align business and BI strategies, each department identifies its targets, KPIs, and plans to achieve those targets. Section Reference: Business Intelligence
True/False
ERM systems consist of hardware and software that manage and archive electronic documents and image paper documents; then index and store them according to company policy
True/False
The major ERM tools are servers, word processors, presentation software, and spreadsheets.
True/False
ERM systems have query and search capabilities so documents can be identified and accessed like data in a database
True/False
Companies need to be prepared to respond to an audit, federal investigation, lawsuit, or any other legal action against them
True/False
Effective ERM systems capture all business data and documents at their first touchpoint—data centers, laptops, the mailroom, at customer sites, or remote offices.
True/False
A key benefit of ERM is that it creates a paperless office as had been predicted.