They need to do it if the cost is affordable. And the fact the cost of Big Data processing became cheap enough to do it en masse is a driver.
Take a simple example. Every small offline shop will not refuse to count every customers head turn (with direction, angle and frequency), calculate averages, and get sales floor attention heatmap divided by day, hour, age and sex.
If that would cost them $500 one-time fee for 10 cameras and $5/day for the cloud service, and produced by pressing one big green key.
That's the Big Data driver, businesses are opening their eyes to the ability to analyze (cheap!) a huge number of small (and even smaller) factors and make better decisions.
Take a simple example. Every small offline shop will not refuse to count every customers head turn (with direction, angle and frequency), calculate averages, and get sales floor attention heatmap divided by day, hour, age and sex.
If that would cost them $500 one-time fee for 10 cameras and $5/day for the cloud service, and produced by pressing one big green key.
That's the Big Data driver, businesses are opening their eyes to the ability to analyze (cheap!) a huge number of small (and even smaller) factors and make better decisions.