From the course: Data Quality: Core Concepts
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Thought exercise: Understand the business model
From the course: Data Quality: Core Concepts
Thought exercise: Understand the business model
- [Instructor] The first step is to understand your business model. For the stock exercise, Sell Things Inc.'s business model aligns with a typical e-commerce organization, where they provide a marketplace for third-party vendors to sell items and consumers to purchase those items. Its revenue comes from two specific areas. First, platform fees from vendors so, that way, they can join the marketplace. And then, second, a percentage of any sale made on the platform goes to Sell Things Inc. In summary, the more vendors and items from the vendors, the stronger the marketplace. Now, take a second and think how data quality can tie to this before moving on to the next video.
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Contents
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Data quality introduction13s
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Impact of poor data quality3m 40s
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(Locked)
Defining data quality4m 48s
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(Locked)
Data quality dimensions: Intro1m 1s
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(Locked)
DQ dimensions: Validity, completeness, consistency2m 36s
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(Locked)
DQ dimensions: Integrity, timeliness, currency2m 41s
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(Locked)
DQ dimensions: Reasonableness, uniqueness, accuracy3m
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(Locked)
Common data quality assessment frameworks2m 26s
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Connecting data quality to business outcomes: Intro1m 22s
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(Locked)
Thought exercise: Ecommerce41s
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(Locked)
Thought exercise: Understand the business model44s
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(Locked)
Thought exercise: Map your data lifecycle1m 32s
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(Locked)
Thought exercise: Identify your stakeholders1m 12s
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Thought exercise: Evaluate how stakeholders drive revenue41s
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(Locked)
Thought exercise: Assess how DQ impacts revenue and risk48s
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(Locked)
Thought exercise: Synthesize research and communicate ROI3m 15s
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