Introduction to Business Analytics

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Comprehensive flashcards covering key terms and definitions from the Introduction to Business Analytics lecture notes, including types of decisions, analytical categories, big data characteristics, and ethical/legal issues.

Last updated 6:42 PM on 7/19/26
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30 Terms

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Strategic Decisions

Decisions that involve higher-level issues concerned with the overall direction of the organization, defining overall goals and aspirations for the future.

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Tactical Decisions

Decisions concerning how the organization should achieve the goals and objectives set by its strategy, usually the responsibility of midlevel management.

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Operational Decisions

Decisions affecting how the firm is run from day to day, typically the domain of operations managers.

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Business Analytics

The scientific process of transforming data into insight for making better decisions.

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Descriptive Analytics

The set of techniques that describes what has happened in the past, including data queries, reports, and visualization.

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Data Query

A request for information with certain characteristics from a database.

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Data Dashboards

Collections of tables, charts, maps, and summary statistics updated as new data becomes available.

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Unsupervised Learning Technique

A descriptive method that seeks to identify patterns in data based on notions of similarity (cluster analysis) or correlation (association rules).

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Predictive Analytics

Techniques that use models constructed from past data to predict the future or ascertain the impact of one variable on another.

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Supervised Learning Techniques

Data mining techniques that use past data to find patterns or relationships among data elements in a large database.

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Simulation

The use of probability and statistics to construct a computer model to study the impact of uncertainty on a decision.

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Prescriptive Analytics

Analytics that indicate a course of action to take; it is often a predictive model combined with a rule.

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Optimization Models

Models that give the best decision subject to the constraints of the situation.

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Simulation Optimization

A technique that combines probability and statistics to model uncertainty with optimization techniques to find good decisions in complex settings.

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Decision Analysis

A method used to develop an optimal strategy when a decision maker faces several alternatives and an uncertain set of future events.

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Utility Theory

A branch of decision analysis that assigns values to outcomes based on the decision maker’s attitude toward risk.

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Big Data

Any set of data that is too large or too complex to be handled by standard data-processing techniques and typical desktop software.

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Volume (Big Data)

One of the four Vs, referring to data at rest and existing data to process in the range of terabytes\text{terabytes} to exabytes\text{exabytes}.

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Velocity (Big Data)

One of the four Vs, referring to data in motion and streaming data requiring response times from milliseconds\text{milliseconds} to seconds\text{seconds}.

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Variety (Big Data)

One of the four Vs, referring to data in many forms, including structured, unstructured, text, and multimedia.

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Veracity (Big Data)

One of the four Vs, referring to data in doubt due to inconsistency, incompleteness, ambiguities, or latency.

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Hadoop

An open-source programming environment that supports big data processing through distributed storage and cloud computing.

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MapReduce

A programming model used within Hadoop that performs two major steps: the map step and the reduce step.

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Cloud Computing

The use of data and software on servers housed externally to an organization via the internet.

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Artificial Intelligence (AI)

The use of big data and computers to make decisions that would have required human intelligence in the past.

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Data Scientists

Analysts trained in computer science and statistics who know how to process and analyze massive amounts of data.

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Sentiment Analysis

A technique that allows companies to monitor "the voice of the customer" to adjust services and products based on customer feedback data.

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Conjoint Analysis

A predictive technique used to design stadium premium seating based on fan survey data.

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Data Breaches

Unauthorized uses of data, which are a major concern for companies obligated to protect stored data.

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GDPR (General Data Protection Regulation)

One of the strictest privacy laws that went into effect in the European Union in May 2018\text{2018}, regarding data consent and individual rights.