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Introduction to Data Analysis
Data analytics is a strategy-based science where raw data is analyzed to detect trends, answer questions, or draw conclusions from a large batch of data. Using various techniques, raw data is converted into a form that allows companies and organizations to analyze important metrics. Without data analytics, these metrics would likely be buried under a mass of information. This process helps companies increase their overall efficiency.
Learning outcomes:
- Discuss strategies to deal with special and common cause variations
- Identify data performance tools like the Pareto chart, histogram, run chart, and control chart
- Explain the structures of performance management
- Differentiate between the "voice of the customer" and the "voice of the people"
- Describe how to use data to drive improvement in your business
- Explain special cases where the method for creating a control chart changes
Resource details
Contributed by: | Digital Academy |
Authored by: |
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Licence: | More information on licences |
Last updated: | 05 July 2024 |
First contributed: | 01 July 2022 |
Audience access level: | Full user |
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