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WGU D596 Task 1: The Data Analytics Life Cycle and Real-World Application latest update

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Brennen Goode The Data Analytics Journey — D596 Task 1 The Data Analytics Life Cycle and Real-World Application A. The Seven Phases of the Data Analytics Life Cycle The data analytics life cycle includes seven important steps that help organizations go from identifying a problem to finding a data driven solution. 1. Business Understanding This step focuses on identifying the real business problem. You need to understand the organization’s goals and what success looks like for the business you're working for. Example: A hospital wants to reduce patient discharge wait times. How to gain expertise: Practice active listening, learn about the business, and ask thoughtful questions. You can also gain insight by reading industry reports, attending stakeholder meetings, or working closely with business leaders. 2. Data Acquisition This is where data is collected from various sources like internal databases, APIs, or external files. Example: Pulling patient time logs from hospital systems. How to gain expertise: Learn SQL and Python for data retrieval. Familiarity with

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WGU D596 Task 1: The Data Analytics Life Cycle and Real-
World Application



Brennen Goode

The Data Analytics Journey —

D596 Task 1



The Data Analytics Life Cycle and Real-World Application


A. The Seven Phases of the Data Analytics Life Cycle


The data analytics life cycle includes seven important steps that

help organizations go from identifying a problem to finding a data-

driven solution.


1. Business Understanding

This step focuses on identifying the real business problem.

You need to understand the organization’s goals and what

success looks like for the business you're working for.

Example: A hospital wants to reduce patient discharge wait
times.

How to gain expertise: Practice active listening, learn

, about the business, and ask thoughtful questions. You can

also gain insight by reading industry reports, attending

stakeholder meetings, or working closely with business

leaders.



2. Data Acquisition

This is where data is collected from various sources like

internal databases, APIs, or external files.

Example: Pulling patient time logs from hospital systems.

How to gain expertise: Learn SQL and Python for data
retrieval. Familiarity with

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