#DefragCon 2013 Notes: Unpacking Data’s Baggage: Lessons from Airport Security – Stephen Messer, Collective[i]
Unpacking Data’s Baggage: Lessons from Airport Security – Stephen Messer, Collective[i] BigData will disappoint if you fixate on its size. What matters is getting fast, relevant, accurate results Many don’t think through their business, so they don’t know what they want from their data Big Data has reached the hype cycle and we are now looking for good stories of value Looking at the travel industry, there are three ways to attack big data problems: 1. Random – odd rules come out 2. Everything – leads to exhaustion and missing good results Applying Rules – looking at the past to define the rules of the future, except when you have changing behavior 3. Question anomalies – finding issues then find the questions to ask Reporting (information) vs. analytics (insight) “#BigData is worthless until a scalable and accurate process for generating insights is refined and standardized”
Unpacking Data’s Baggage: Lessons from Airport Security – Stephen Messer, Collective[i]
- BigData will disappoint if you fixate on its size. What matters is getting fast, relevant, accurate results
- Many don’t think through their business, so they don’t know what they want from their data
- Big Data has reached the hype cycle and we are now looking for good stories of value
- Looking at the travel industry, there are three ways to attack big data problems:
- 1. Random – odd rules come out
- 2. Everything – leads to exhaustion and missing good results
- Applying Rules – looking at the past to define the rules of the future, except when you have changing behavior
- 3. Question anomalies – finding issues then find the questions to ask
- Reporting (information) vs. analytics (insight)
- “#BigData is worthless until a scalable and accurate process for generating insights is refined and standardized”