Big Data with Thick Data - Deepstash

Big Data with Thick Data

Thick data complements the more popular ‘big data’ (collected from large data samples), and when combined, they offer a complete view of the problem space in terms of what it is, how it occurs, and why it exists.

For organizations, big data offers quantifiable evidence from a broad sample size for informed decision-making. Alternatively, thick data offers qualitative evidence from a very small sample size, shifting the dataset from scale (macro trend) to uniqueness of experience (micro meaning) based on human motivations and choices.

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hserednytska

An effective communicator and business analyst with an inquisitive mind, strong analytical, problem-solving, and decision-making skills

“Business Design is like therapy for your business”— Starbucks executive

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Big data

  • Big data is a combination of structured and semi-structured data collected by organizations that can be mined for information, machine learning, and predictive modeling.
  • Big data draws broad patterns from massive amounts of data from large end-user or customer samples
  • Big dat...

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