Infonomics big data review
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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.
Infonomics big data review
- 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 狠狠撸 Big Data Infonomics Review ? Copyright The Wildcat Data Company