The document outlines the costs and factors involved in the production, refinement, distribution, and sale of data insights from big data. It discusses the internal costs of obtaining data, refining it through processing and data mining, and the infrastructure required. External demand and risks are also covered, such as selling insights and ensuring accuracy of predictions. The document also examines variables that impact revenues and profits, such as volume, market coverage, licensing fees, decay rates, and economies of scale.

1. COST OF PRODUCTION DEMAND SUPPLY/INHIBITORS
Cost to Access
- Obtaining permission
- Licence agreement
- Extract cost
- Security /rest/motion
Internal Demand
- Value of insight (incremental margin)
- Customer experience
- Supplier/procurement value
Risk – Un-used insights
Cost of Refinement
- Refinement processing
- Data Mining
- MDM Infrastructure
External Demand
- Sale, Barter, Rent, Auction
- PII or Audience
- Repeatable sales/Exclusivity
Risk - Stalled extraction, Cost and - Accuracy of
Prediction/Insight
Supply explosion
Time to market
Cost of Distribution/Sale
- Channel access, fee (DMP)
- Decay rate of insight value
- Sales and marketing
Decay rate (value/days)
- Time to market
- Refresh cycle
- Premium first access
- Legal rights
Volume/Size
- Mkt Coverage B2C, B2B
- Country/Lang
Volume/Size
- Economies of scale/PLV
- Perishable insights
- Discount for volume licences
- Leakage
- Grey market
Total Cost (A) of Supply
Fixed
Variable Extraction (Scale) X Size
Total Revenue (B) Total Profit = Total Revenue (B) minus Total
Cost (A)
- Fixed Cost Breakeven/Profit
One Slide Big Data Infonomics Review
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