Podcast Beta
Questions and Answers
Producing data-driven insights that can guide decision-making is an essential part of ______ and business intelligence.
data warehousing
Data warehousing and business intelligence tools have become the standard for many business operations in a data-driven ______.
economy
More data is being collected and used by organizations than ever before, and those are the organizations at the ______ of their industries.
cutting edge
To build an Enterprise Data Warehouse, the Business Users will need to determine the reports they want to derive from their ______.
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The Business Users will then convene with the IT Team to iron out the technical requirements (Blueprinting) including providing information on business processes and where the data can be ______.
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Once the IT Team has worked out the actual requirements needed by the Business Users, it is time to implement the EDW to those ______.
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Testing will follow for data accuracy with the help of the Business Users. Reporting Tools Data Visualization Reporting Tools Representing Data with ______.
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Data Sources: ERP Systems Other Databases Flat Files Enterprise Data ______.
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This could take a few days to a few ______.
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Wrapping Up on Data Warehousing and Business Intelligence. This is partially because more data is being collected and used by organizations than ______ before.
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Study Notes
What is Data?
- Data refers to the information collected and stored from multiple sources, used for analytics and business decision-making.
Data Warehousing
- Data warehousing is the process of transferring and storing data from multiple sources into a single repository known as a data warehouse.
- The data warehouse acts as a central data bank for analytics through business intelligence tools.
How Data Warehousing Works
- Identify data sources across different departments in the organization.
- Conduct an audit of current reporting strategies to determine which data to source.
- Funnel data into the data warehouse using the "extract, transform, load" (ETL) process.
ETL Process
- Extract data from multiple sources to a "staging area" in raw form.
- Process the raw data to ensure quality and consistency across all databases.
- Load the transformed data into the data warehouse.
Data Processing
- Filter, organize, and clean up data for analytical purposes.
- Remove duplicate data, unusable data, and other unnecessary information.
Business Intelligence
- Use business intelligence tools to analyze data in the data warehouse.
- Produce deeper insights from the data to guide business decisions.
- Translate large data pools into digestible and actionable information.
End User Access
- Deliver insights and reports to end users in a way that is digestible and actionable.
- Use visualization functions to enable less technical users to apply insights in decision-making.
Building an Enterprise Data Warehouse
- Determine reports required by business users.
- Convene with the IT team to blueprint technical requirements.
- Implement the EDW to specifications.
- Test for data accuracy with business user input.
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Description
Test your knowledge on how data warehouses are used for analysis with business intelligence tools to produce actionable insights for decision-making.
