The Sunday night v Monday morning disconnect forced enterprises to adopt BYOD and web services – as the retina displays and mobile apps and other attractiveness of consumer tech contrasted with aging laptops and ugly enterprise systems.
I get the feeling we will see a similar trend around analytics.
Look at some of the rich data we have access to as consumers
- channels like ESPN are bringing an amazing amount of data to sports – as their Numbers Don’t Lie show and their magazine’s Analytics issue regularly document
- “the quantified self” is becoming reality with health wrist bands and smart clothing
- with wi-fi on flights, passengers with access to sites like Flightaware and Weather.com have better information on their flight path than do flight attendants, and in some cases even pilots
- the drilldown analysis CNN’s Magic Wall brings viewers on Election Day
- Wired magazine’s analysis of food trends by analyzing a large repository of Food Network content
- A regular section called “The Numbers” in an airline magazine, not typically where you expect such insights
- the growing amount of content which we are being streamed via Google Glass and other wearable technology
Expect a similar Monday morning change in expectations when it comes to enterprise data. Cash flow, aging analysis, employee listings are still essential, but expect way more insights.
Imagine a weekly employee bulletin which highlights some operational factoid they can be proud of and brag to the world about. Expect more social listening displays. Count on dazzling visualization of mountains of sensory data.
And many more ideas we are getting on Sunday night and and countless other hours away from the office.