Data Network Effects: Why We Make it a Design Time Decision at super{set}

light bulb on top of bowl filled with binary code
  • Capturing
  • Generating
  • Orchestrating
  • Pipelining
  • Unifying
  • Analyzing
  • Protecting, and/or
  • Activating
icons representing web, mobile, chat for systems of engagement and CRM, HCM, ERP, ITSM for systems of record
  • Aggregating log data from consumer interactions to calculate benchmarks and baselines regarding consumer trends, affinities, and behaviors (e.g., “this group of users indexes highly for household income over $150K and propensity to purchase cream cheese”)
  • Recommending a product (a movie to be streamed, a coupon, a hairbrush) based on your belonging to a cohort of people who exhibit similar behavior
  • Distilling input from workers in content and communication systems to surface employee sentiment, motivations, and talent potential to HR leaders and executives
  • Pooling identity and attribute data from third-party data providers to measure the accuracy of internet advertising and marketing spend
  • Probing user-generated content to detect and flag toxic behaviors (misogyny, racism, sexual harassment) to improve the trust and safety of online experiences

99% of the time, {More data + simpler algorithms} beats {Less data + more complicated algorithms}

  1. Trust
  2. Contracts
  3. Architecture



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