How much stuff do you own? The answer for most people ranges from a few changes of clothing to a large house full of possessions – your material self. It turns out that most of us also have a digital self – the information and items we create or that others collect about us. It is your footprint, your impact on the digital world. Without a digital self, you don’t exist in the world of computers and the Internet.
The era of Internet has spawned riotous new forms of business disruption as cheap tools and services combined with Internet reach and social media have empowered anyone on the planet to compete with the largest, most established businesses. James McQuivey’s reports and book on digital disruption highlight the fast rise of new hardware devices such as Microsoft’s Kinect and Apple’s iPad, and the fast mainstreaming of new Internet services such as Dropbox, Twitter, and Facebook. Companies in the business of retail, books, movies, and music have been toppled or transformed, with more to come.
We attended the recent Glimpse Conference 2013, where members of New York's tech scene came together at Bloomberg headquarters to talk about social discovery, predictive analytics, and customer engagement.
Our key takeaway from the event: small, real-time data coming from very personal apps like email, calendar, social, and other online services will fuel next-level predictive apps and services. Specifically:
• Better insight doesn’t require more data; it needs the right data. Amassing large databases of customer profiles, purchase history, and web browser activity only goes so far, and is costing companies millions, if not billions of dollars every year. Mikael Berner from EasilyDo sees a new opportunity in better utilizing data scattered across personal email indices, calendars, social networks, and file and content repositories that directly indicate customers’ plans, interests, and motivations.
• Email, calendar, and location data is a goldmine for predictive analytics. Expedia or TripAdvisor can track web activities to recall a user searched for hotels last November and is likely to travel again this year, but a flight confirmation sitting in email or vacation time logged in calendar is a much stronger indicator of travel plans.