Traditional Businesses Are Turning Into Data Brokers
- THESE TOOLS MAKE IT
POSSIBLE TO DERIVE
MEANING FROM LARGE
DATA SETS, AND THEY
REALLY ENABLE US TO
LOOK AT PROBLEMS
DIFFERENTLY. - ONE COULD EXAMINE ALL
MEDICAL RECORDS FOR
BOTH HISTORICAL AND
CURRENT MEDICAL
INFORMATION ACROSS
THE ENTIRE POPULATION
AND USE A DATADISCOVERY
APPROACH
TO ACCELERATE TESTING
HYPOTHESES.
“I see data as the primary disruptor.”
I see data as the primary disruptor. For instance, the data warehouse and business intelligence industries as we know them today are really second-order results of the enterprise resource planning deployments from the late 1980s and 1990s that enabled businesses to digitize transactional and business process information. That became the foundation for analytics that we take for granted today, such as using data to reduce customer churn, optimize inventory, and streamline the supply chain. If a business is not doing these things today, it is not operating at scale.