Chapter 1: Using Business Analytics to Address Business Questions

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Vocabulary flashcards covering core concepts, figures, models, and analytics types from Chapter 1.

Last updated 11:16 PM on 9/13/26
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30 Terms

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Business Value

All the items, events, and interactions that determine a company's financial health.

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Business Process

A coordinated, standardized set of activities conducted by both people and equipment to accomplish a specific business task.

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Global Datasphere (2025 Prediction)

The projected annual size of the global datasphere by 2025, reaching 175 ZB.

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Business Analyst

A data specialist who curates and uses data to help an organization make effective business decisions.

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Data Overload

A situation where an increasing amount of data hinders an analyst's work because too much data cannot be properly synthesized or interpreted.

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Data

Raw facts that have little meaning on their own.

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Context

The setting, event, statement, or situation that surrounds and gives meaning to raw data.

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Information

Data combined with context, organized in a way to be useful to an analyst or user.

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Knowledge

Understanding or familiarity with information gained through experience or study.

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Decision

A conclusion reached after knowledge is considered.

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Information Value Chain

The conceptual model showing how raw data and context combine into information, which leads to knowledge, and ultimately results in a decision.

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Data Scientist

A specialist who knows how to work with, manipulate, and statistically test data.

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Decision Maker

An organizational role (such as management) that requires knowledge and information to make business decisions.

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Business Analyst as Interpreter

The liaison role of a business analyst who bridges management (the decision-maker) and the data scientist (the developer).

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Business Analytics

The use of data to create knowledge, help draw conclusions, and address business questions.

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Marketing Analytics

Business analytics focused on measuring and improving marketing performance, primarily by providing insights into customer preferences and trends.

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Accounting Analytics

The use of business analytics to measure accounting performance and address questions in audit, financial accounting, managerial accounting, and tax areas.

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Financial Analytics

The use of business analytics to measure and evaluate financial performance, such as predicting customer receivables collection or evaluating capital investment returns.

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Operations Analytics

The measurement and improvement of operational efficiency and effectiveness across human resources, IT operations, and supply chain logistics.

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Analytics Mindset

The ability to ask the right questions, extract, transform, and load relevant data, apply appropriate data analytic techniques, and interpret and share results with stakeholders.

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SOAR Analytics Model

A recursive four-step analytics framework consisting of: 1. Specify the Question, 2. Obtain the Data, 3. Analyze the Data, and 4. Report the Results.

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Descriptive Analytics

An analytics type that answers the question: 'What happened?'

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Diagnostic Analytics

An analytics type that answers the question: 'Why did it happen?'

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Predictive Analytics

An analytics type that answers the question: 'What is likely to happen in the future?'

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Prescriptive Analytics

An analytics type that answers the question: 'What action(s) should we take?' based on expected future outcomes.

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Adaptive Analytics

An autonomous analytics type that answers the question: 'How does the system adapt to changes?'

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Analytics Ascendancy Model

A model showing how analytics advances from Descriptive to Diagnostic, Predictive, Prescriptive, and Adaptive/Autonomous, increasing organizational value and required skill.

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Data Visualizations

Graphic representations of data, usually in the form of a graph, chart, or other image.

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Exploratory Data Visualizations

Visualizations used to uncover patterns, anomalies, and insights in data during the 'Analyze the Data' step of descriptive or diagnostic analytics.

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Explanatory Data Visualizations

Visualizations used as an important means of reporting business analytics findings to decision-makers and stakeholders during the 'Report the Results' step.