Week 7 Flashcards

1
Q

A ______ is an organized collection of data, generally stored and accessed electronically

A

database

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2
Q

A ______ is a software package designed to define, manipulate,
retrieve and manage data in a database.

A

database management system

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3
Q

_______is the discovery, interpretation, and communication of meaningful patterns in data;
and the process of applying those patterns towards effective decision making.

A

Analytics

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4
Q

______ is a domain-specific language used in programming and designed for managing data held
in a relational database management system, or for stream processing in a relational data stream management system.

A

Structured Query Language (SQL)

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5
Q

________is an approach to manage a company’s interaction with
current and potential customers. It uses data analysis about customers’ history with a company
to improve business relationships with customers, specifically focusing on customer retention
and ultimately driving sales growth.

A

customer-relationship management

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6
Q

In commerce, _______ , the management of the flow of goods and services,
involves the movement and storage of raw materials, of work-in-process inventory, and of finished goods from point of origin to point of consumption.

A

supply-chain management

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7
Q

_______ is the integrated management of core business processes,

A

enterprise resource planning

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8
Q

In computing, a _______ , also known as an enterprise data warehouse, is a system used for reporting and data analysis, and is considered a core component of business intelligence.

A

data warehouse

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9
Q

________ is a structure / access pattern specific to data warehouse environments, used to
retrieve client-facing data.

A

data mining

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10
Q

Programs that infect other software or files. They require an executable (a running program) to spread, attaching to other executables.

A

viruses

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11
Q

Data relevance pertains to which of the following questions?

A

What data is needed to compete on analytics and to meet our current and future goals?

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12
Q

What are some key things to watch out for while building a model?

A
  • black swan events,
  • Basing a decision or action purely on the results of a model, without taking the business context into account, -Looking at a random but meaningless statistical fluke (because you did not set aside a portion of data to verify the results),
  • Over-engineering the model (building it with so many variables that the solution arrived at might only work on the subset of data used to create it)
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13
Q

Which of the following tasks can be performed using online analytical processing (OLAP)?

A

Drill down to uncover new insights, Slice and dice data to uncover new insights

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14
Q

Data governance pertains to which of the following questions?

A

What rules and processes are needed to manage data from its creation through its retirement?

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15
Q

Anyone can acquire _________, but ____________ is oftentimes considered a defensible source of competitive advantage.

A

technology; data

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16
Q

Data quality pertains to which of the following questions?

A

Can our data be trusted as accurate? Is it clean, complete, and reasonably free of errors?

17
Q

The use of frameworks and being compliant is not equal to security. Security is about trade-offs, both economic and intangible. Firms need to understand their assets and risks in order to best allocate resources and address needs.

A

true