Las Vegas – Hello from the Consumer Electronics Show (CES) 2014, an industry gathering point for technology vendors, retailers, partners, media, and industry analysts. Like many, I’m here to meet with the innovators, witness demonstrations, and assess the state of the technology industry in 2014 (and beyond).
As they were at last year’s conference, wearables will be a very hot topic at CES 2014. But in the fast-moving world of technology, a year is a long time. In 2014, wearables will graduate to their 2.0 state. To understand this 2.0 iteration, Forrester released two new reports that clients can read and download. The first is an overarching view of the enterprise aspect of wearable technology, The Enterprise Wearables Journey. The second focuses on wearable health, Building A Fitter Business With Wearable Technology. Let me offer a sneak peak into why Wearables 2.0 is a critical topic.
Forrester has just published our forecast for the 2014-2015 global tech market (January 2, 2014, “A Better But Still Subpar Global Tech Market In 2014 And 2015”), and we are predicting that business and government purchases of information technologies (IT) will grow by 6.2% in US dollars in 2014, and by 5.5% in exchange-rate-adjusted or local currency terms. (Note that this data includes purchases of computer equipment, communications equipment, software, IT consulting and systems integration services, and IT outsourcing services, but does not include purchases of telecommunications services.) The US dollar growth rate will be distinctly better than the 1.6% growth in US dollars in 2013, though constant currency growth will be only somewhat better than the 4.3% growth in 2013. Still, the global tech market won’t see strong growth until 2015, and even then the 8.1% US dollar and 6.9% local currency growth rates will be well below the double-digit growth rates of the late 1990s and 2000 era.
Three interconnected and reinforcing themes will define the global tech market this year:
I’ve been experimenting for the past year or so with several proactive assistant apps to guide my day — they remind me to get on conference calls with clients, offer to text participants if I'm running late to an in-person lunch, and keep me in touch with friends and colleagues. Some of these apps also integrate Salesforce, Yammer, and BaseCamp for job-specific context and assistance.
Among the most popular apps, Google Now personalizes recommendations and assistance by applying predictive analytics to data stored in email, contacts, calendar, social, docs, and other types of online services users opt in. Other examples include Tipbit applying predictive analytics to make a more intelligent inbox, and EasilyDo using the notification system to recommend ways to automate common everyday tasks. Expect Labs is tackling this space from the other end of the spectrum, offering an intelligent assistance engine for enterprises to plug into and add proactive features to their own apps.
Here’s what we think:
• Vendors will experience burnouts and early customer frustration, much like in voice recognition. In the music industry, it’s said that an artist is only as good as her last hit. We saw that analogy apply to voice recognition when users got frustrated at Siri as soon as she failed once on them. Expect a similar dynamic with all types of predictive apps.
I regularly hear CIOs and IT suppliers discussing the “four pillars” of cloud, social, mobile, and big data as if they’re an end in themselves, creating plenty of buzz around all four. But really, they’re just a means to an end: Cloud, social, mobile, and big data are the tools we use to reach the ultimate goal of providing a great customer experience. Most CIOs in Australia do understand that digital disruption and customer obsession are the factors that are changing their world, and that the only way to succeed is to embrace this change.
Insurance carriers are pulling out the stops when it comes to their mobile strategies. It’s now rarer to find an insurer that doesn’t offer at least one app plus a mobile site. But just how effective are all these mobile insurance apps and sites at meeting the needs of auto insurance customers? At the end of the summer, we decided to check out the mobile sales and service functionality that leading US auto insurers – Allstate, Farmers, Geico, Liberty Mutual, Progressive, and State Farm – were offering to their customers. We reported what we learned in our just-published 2013 US Mobile Auto Insurance Functionality Rankings report.
Our approach followed these steps:
Define a user scenario. We defined a target persona: Ryan and his wife Nicole live in Chicago and are in the market for a new car and will need to change the vehicle on their policy. Their mobile goals are to research and apply for insurance, pay their bill, see how easy it is to file and manage claims, get help on the road, and see what other help they can get through their insurer on a mobile phone.
Score mobile functionality based on user criteria. Forrester’s mobile functionality benchmark methodology examines 26 individual criteria that measure how well an auto insurance app helps customers achieve their goals. Each criterion has a potential score ranging from -2 to +2.
If you believe the idiom "a bird in the hand is worth two in the bush," then Snapchat believes it will be worth more than $6B to a future buyer — or the public through an IPO. The service is appealing not just for the UI but also for the limited time the content is stored. That appeals to me as a middle-aged adult, let alone to a teen with poor judgement who may be applying for college or a job in a few years. We've probably all felt awkward at some point about something someone posted.
If you believe the movie "The Social Network," Mark Zuckerberg was also advised to turn down early offers. Remember the shockwaves that rippled down the West coast when Microsoft invested $240M in the fall of 2007 for what is now a 1.6% stake or $1.36B valuation? (See Source)
I am not our social media expert. I am also not our primary mobile marketing expert, though I've covered it extensively at times. This POV is from a mobile analyst who has spent a lot of time looking at social networks on mobile devices.
Here's what we do know:
- There are about 7 billion people on earth.
- 6 billion of them have mobile phones.
- 1 billion (and growing) of them have smartphones, with nearly 400m of those in China.
- People communicate, consume media, and transact on mobile phones — in that order.
- Mobile phones sit at the core of our social graph. We create photos and we share good times with friends. I don't often post while I am sitting at home working. I post when I am out and about doing fun things that I want to share.
What drives a $6B+ valuation beyond pure speculation, optimism, and wishful thinking?
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.
The bank I mainly use for my daily banking needs does not offer that many examples of great customer experiences. The two reasons why my family continues to use that bank are the high number of ATMs in the area where we live and a very customer-oriented branch advisor. Our most recent interaction with that bank (but not with that advisor) delivered yet another example of “great” customer service across channels, an experience that will likely cause us to look for a new bank. The chances that this yet-to-be-determined bank can offer better cross-channel capabilities at least at some point in the future are not bad at all: Many financial services firms are evolving beyond using just a single channel to get in touch with their customers (see the figure below).
[note: this was written live last week while I was attending Finovate]
Greetings from the Big Apple! I’m here attending the fancy schmancy Finovate Fall 2013 conference featuring tech solutions and innovations from – and for – the financial services industry. Here are some of the offerings and presentations that stood out for me, in the order they were presented at Finovate:
Kofax offers process automation software for lenders, but the big takeaway for me was their recent expansion of mobile, cross-channel, and multichannel analytics for financial providers. Focused on how customers shop for a loan, the dashboard and data are digestible and actionable. The jury’s still out, but strong analytics and easy-to-use tools can help banks improve sales in their lending lines of business.
MoneyDesktop offers digital money management tools – also known as personal financial management or PFM – and their demo at Finovate continued to show their strengths: Nifty tools, clean design, and intuitive UI and UX. The question mark for banks, however, continues to be how well integrated – or better yet, embedded – the experience can/will be for end users.
All of the fighting has resulted in multiple casualties. BlackBerry couldn't keep up the pace and was eventually chopped off at the knees. Microsoft has yet to gain enough developer volume to be a real threat and will eventually reinvent itself as a new company under new leadership. Third-party app stores are distributed and nimble but really amount to nothing more than splinter groups using guerrilla tactics against the major nation states. They just can't compete in the long term.
In the United States, Google Play and Apple iTunes have become the two superpowers in the mobile app war. With exceptional mobile application uptake, these two players have come to dominate the consumer mobile space. Phones don't sell phones. . .applications sell phones, and these two players have won.