Match each component of the Data Analytic Life Cycle from the column on the left to definitions from the column on the right: •V A. Communicate Results 1-Change business environment and evolving needs for decision support and analytics by implementing ad hoc decisions that arise episodically. - v B. Discovery 2- Compare model outcomes to establish criteria for falure and success. Data Preparation 3. Prepare to deploy new approach or models in a production environment and communicate insights to diverse Operationalize stakeholders. Model Planning 4. Develop datasets for training, testing and production. - v Model Building S- Data science team identifies models for clustering and conduct data exploration and variable selection. 6. Prepare data analytic sandbox and perform extraction, loading and transformations. 7. Data science team investigates the problem and develop context to determine which resources to collect.

Principles of Information Systems (MindTap Course List)
13th Edition
ISBN:9781305971776
Author:Ralph Stair, George Reynolds
Publisher:Ralph Stair, George Reynolds
Chapter9: Business Intelligence And Analytics
Section: Chapter Questions
Problem 1CE
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I need to match both columns

Match each component of the Data Analytic Life Cycle from the column on the left to definitions from the column on the right:
1. Change business environment and evolving needs for decision support and analytics by implementing ad hoc
decisions that arise episodically.
A. Communicate Results
B. Discovery
2. Compare model outcomes to establish criteria for failure and success.
Data Preparation
3. Prepare to deploy new approach or models in a production environment and communicate insights to diverse
Operationalize
stakeholders.
Model Planning
4.
Develop datasets for training, testing and production.
Model Building
5. Data science team identifies models for clustering and conduct data exploration and variable selection.
6.
Prepare data analytic sandbox and perform extraction, loading and transformations.
7. Data science team investigates the problem and develop context to determine which resources to collect.
Transcribed Image Text:Match each component of the Data Analytic Life Cycle from the column on the left to definitions from the column on the right: 1. Change business environment and evolving needs for decision support and analytics by implementing ad hoc decisions that arise episodically. A. Communicate Results B. Discovery 2. Compare model outcomes to establish criteria for failure and success. Data Preparation 3. Prepare to deploy new approach or models in a production environment and communicate insights to diverse Operationalize stakeholders. Model Planning 4. Develop datasets for training, testing and production. Model Building 5. Data science team identifies models for clustering and conduct data exploration and variable selection. 6. Prepare data analytic sandbox and perform extraction, loading and transformations. 7. Data science team investigates the problem and develop context to determine which resources to collect.
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