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Other V’s in Big Data
Other V’s | Meaning | Key Question / Use Case |
---|---|---|
Value | Business/Customer Impact | What value does this data bring to the business or end users? |
Visualization | Data Representation | Can the data be visualized clearly to aid understanding and decisions? |
Viability | Production/Sustainability | Is it viable to operationalize and sustain this data in production systems? |
Virality | Shareability/Impact | Will the message or insight be effective when shared across channels (e.g., social media)? |
Version | Data Versioning | Do we need to maintain different versions? Is the cost of versioning justified? |
Validity | Time-Sensitivity | How long is the data relevant? Will its meaning or utility change over time? |
Example
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Validity: Zoom usage data from 2020 was valid during lockdown, can that be used for benchmarking?
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Virality: A meme might go viral on Instagram and not received well in Twitter or LinkedIn.
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Version: For some master records, we might need versioned data. For simple web traffic counts, maybe not.