Business Analytic Model and Analytics Maturity

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Comprehensive practice flashcards covering the Business Analytic Model layers, jobs/competencies in data analytics, and the DELTA Plus organizational maturity frameworks.

Last updated 1:06 AM on 7/30/26
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20 Terms

1
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What does the Business Analytic Model serve as within an organization?

It serves as a map or guide that fosters an understanding of how an effective BA will be implemented in any organization.

2
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How does information flow across the layers of the Business Analytic Model?

Information requirements flow from the top layer down, while the information supply moves from the technical-oriented layer to the business-driven layer.

3
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Which individuals are responsible for the First Layer (Strategic Level) of the Business Analytic Model?

The top management, which includes the top bosses of the organization.

4
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What are two specific examples of Key Performance Indicators (KPIs) mentioned in the transcript?

The increase of sales target by at least 20%20\% compared to the previous year and return of equity (ROEs) of 1520%15-20\%.

5
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Who composes the Third Layer (Analytical Level) of the model and what are they responsible for?

Analysts, controllers, and report developers; they are responsible for identifying business requirements and creating information and knowledge by applying analytical methodologies.

6
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What is the responsibility of the Fourth Layer (Data warehouse Level)?

Database specialists and ETL (extract, transform, load) developers are responsible for ensuring data availability to business users and collecting data based on user requirements.

7
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Which professionals manage the primary data generating source systems in the Fifth Layer (Operational Level)?

Information Technology professionals from IT operations and developers.

8
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What is the primary focus of a Data Steward (also known as a data keeper)?

IT specialists concerned with the governance process, maintenance, and usage of data, as well as the development and enforcement of data security policies.

9
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What infrastructure-related tasks are performed by a Data Engineer?

They design, construct, test, and maintain the infrastructure needed to store, extract, clean, transform, and analyze data and information.

10
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Which specific programming languages are identified as useful for a Data Scientist?

Julia, Python, Scala, and R.

11
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What are the primary analytic domains for a Data Scientist versus a Functional Analyst?

Data scientists concern themselves with diagnostic and predictive analytics, while functional analysts work in the domain of prescriptive analytics.

12
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What two primary software management methodologies should an Analytics Manager understand?

SCRUM and Kanban.

13
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What does the APEC project acronym "DARE" stand for?

Project Data Analytics Raising Employment.

14
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What are the three levels of proficiency defined for APEC analytics competencies?

Entry-level, intermediate level, and top-level (expert level).

15
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Which workplace skill refers to the ability to keep abreast with changes by continuous monitoring of self’s skills and knowledge?

Dynamic Self Re-skilling.

16
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What are the seven elements of the DELTA Plus Model?

Data, Enterprise, Leadership, Targets, Analysts, Technology, and Analytic Techniques.

17
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Describe Stage 1: Analytically Impaired of the Analytics Maturity Model.

Companies do not have formal plans for becoming more analytical and rely on gut feel in decision making because leaders are unaware of analytics benefits.

18
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How is Stage 5: Analytical Competitors defined?

The highest maturity stage where organizations use analytics strategically and pervasively across the entire enterprise to maximize competitive advantage.

19
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In the DELTA Plus Model, what does the "E" (Enterprise) orientation signify?

Taking an enterprise approach to managing systems, data, and people rather than working in silos.

20
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Which authors introduced the original Five Stages of Analytics Maturity in 2007?

Tom Davenport and Jeanne Harris.