Data Warehousing and Analytical Architecture Quiz

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Questions and Answers

What is the purpose of assessing the resources available to support the project during the Discovery phase of the Data Analytics Lifecycle?

To negotiate for resources at the outset of the project

To identify gaps related to tools, technology, and skills (correct)

To determine the level of analytical sophistication within the organization

To frame the analytics problem and share it with key stakeholders

Why is it crucial to state the analytics problem and share it with key stakeholders in the Discovery phase of the Data Analytics Lifecycle?

To ensure the project team has the right mix of domain experts

To negotiate for resources at the early stage of the project

To determine the level of expertise within the organization

To emphasize why and to whom the analytics problem is important (correct)

What is the significance of developing initial hypotheses in the Discovery phase of the Data Analytics Lifecycle?

To identify gaps related to tools, technology, and skills

To form ideas that the team can test with data (correct)

To frame the analytics problem and share it with key stakeholders

To determine the level of analytical sophistication within the organization

Why is it important to ensure the project team has the right mix of domain experts, customers, analytic talent, and project management in the Discovery phase of the Data Analytics Lifecycle?

To assess the resources available to support the project Signup and view all the answers

What is the purpose of holding aside some data for testing the model?

To make sure the test and training datasets are stable for the model and analytical methods Signup and view all the answers

What is the purpose of running models from analytical software packages on file extracts and small datasets?

To confirm or deny the model's efficacy for execution in the data Signup and view all the answers

What is the focus of phase 5: Communicate Results in the Data Analytics Lifecycle?

Compare the outcomes of the modeling to the criteria established for success and failure Signup and view all the answers

What is one of the common tools used in the Model Planning Phase of Data Analytics Lifecycle?

Python (Google Colab) Signup and view all the answers

What is the purpose of centralizing data in the data warehouse?

To enable security, backup, and failover of critical data Signup and view all the answers

What is the limitation of stand-alone systems like departmental warehouses and local data marts?

They are isolated and not backed up Signup and view all the answers

What happens at the end of the workflow in relation to analysts and data?

Analysts get data provisioned for their downstream analytics Signup and view all the answers

What type of processes receive critical data feeds from the data warehouses and repositories?

Additional applications for BI and reporting purposes Signup and view all the answers

Study Notes

Discovery Phase of the Data Analytics Lifecycle

Assessing resources available to support the project helps to identify potential constraints and opportunities for the project's success.
Stating the analytics problem and sharing it with key stakeholders ensures everyone is aligned and working towards the same goal.
Developing initial hypotheses helps to guide the project's direction and focus on the most important aspects of the problem.

Project Team Composition

Having the right mix of domain experts, customers, analytic talent, and project management ensures that the project team has a comprehensive understanding of the problem and the necessary skills to solve it.

Data Management

Holding aside some data for testing the model helps to validate the model's performance and accuracy.
Running models on file extracts and small datasets helps to test and refine the models before applying them to larger datasets.

Communicate Results Phase

The focus of this phase is to effectively communicate the insights and results of the data analysis to stakeholders.

Model Planning Phase

One of the common tools used in this phase is decision trees.