New social media scams and marketing #fails are common fodder for water cooler banter today – even a recent episode of HBO’s Veep ran a joke where the President blames a Chinese cyberattack for sending an ill-advised tweet.
In chaos theory, the butterfly effect posits that seemingly small changes at one moment in time can result in large, dramatic changes at another. The subtle flap of a butterfly’s wing can trigger a violent hurricane that occurs miles away or days later. Rationally, the idea may seem like a stretch, but in a digital sense, we are witnesses to – and victims of – the butterfly effect every day through social media. A few individuals’ posts online can escalate into a chorus of voices that mobilizes communities and creates new standards. We saw this last year after a homeless man in Boston turned in a backpack and, more recently, when Cecil the lion was killed in Zimbabwe.
Social media has always been a catalyst for bringing people together as well as an outlet where consumers can vent. But when a surge of voices results in change, social media posts are more than ephemeral cybertext. And, according to Forrester’s Consumer Technographics® data, consumers around the world leverage social media to generate buzz about current events, although members of some countries are more vocal than others:
An inquiry call from a digital strategy agency advising a client of theirs on data commercialization generated a lively discussion on strategies for taking data to market. With few best practices out there, the emerging opportunity just might feel like space exploration – going boldly where no man has gone before. The question is increasingly common. "We know we have data that would be of use to others but how do we know? And, which use cases should we pursue?" In It's Time To Take Your Data To Market published earlier this fall, my colleagues and I provided some guideance on identifying and commercializing that "Picasso in the attic." But the ideas around how to go-to-market continue to evolve.
In answer to the inquiry questions asked the other day, my advice was pretty simple: Don’t try to anticipate all possible uses of the data. Get started by making selected data sets available for people to play with, see what it can do, and talk about it to spread the word. However, there are some specific use cases that can kick-start the process.
Look to your existing customers.
The grass is not always greener, and your existing clients might just provide some fertile ground. A couple thoughts on ways your existing customers could use new data sources:
The vast majority of Facebook and Twitter usage is coming from mobile devices, and both companies generate a significant proportion of their revenues via mobile ads (53% for Facebook and more than 70% for Twitter end Q4 2013).
Facebook is splitting into a collection of apps (Instagram, WhatsApp, Messenger, Paper, etc…) and likely to announce a mobile ad network at its F8 developer conference in San Francisco in a couple of days. While failing brand marketers, according to my colleague Nate Elliott, Facebook is increasingly powerful at driving app installs for gaming companies and performance-based marketers who have a clear mobile app business model.
For consumers, there are two key insurance moments: when coverage is bought and then when it’s used, with hopefully a long span of time between the two. And if there is a claim, then it’s up to the insurer to react to help the claimant recover. But too often, the claims experience spurs policyholders to consider changing insurers, especially among policyholders who’ve been customers longer (and have been paying premiums longer).[i] What else happens when there’s a policyholder unhappy about a claim? Claimants readily take to social bully pulpits with their claims grievances, effectively using Twitter and Facebook to “regulate” insurers into action.
In addition, they also file complaints with state insurance regulators, an activity that about 34,000 US consumers did in 2013.What’s their biggest gripe? A look at the National Association of Insurance Commissioners (NAIC) stats reveals that 56% of consumer complaints filed in 2013 were issues related to claims handling, with the biggest chunk, 24%, because of perceived delays. And that’s not counting delays associated with getting referrals, pre-authorizations, and finding willing providers.[ii]
Over the past year, I’ve been involved in a variety of client advisories focused on the claims experience for both consumers as well as insurer work teams responsible for getting claims paid. Why is the claim experience so easy to go off track? For starters:
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.
In our research on eBusiness and channel strategy, we often come across clusters of innovation where innovation by one company in a sector causes its competitors not only to match it, but to try to leapfrog it -- resulting in a rapid cycles of innovation. Among the examples of these clusters are insurance companies in the US (Progressive, Geico and a growing number of others) and banks in Spain (Bankinter, La Caixa, BBVA and Banco Sabadell).
Another of those clusters is the retail banking market in Turkey. Last week I was in Istanbul and was able to see some of the innovations in person and meet a number of heads of eBusiness at Turkey's big banks. Turkey's banks have been quick to adopt digital technologies and achieved some world firsts for the banking industry. Here are a few examples you might like:
Ziraat Bank has deployed a network of unstaffed video kiosks (see picture, right), which it calls video teller machines, that use video-conferencing to connect customers with agents in the bank’s contact centre. Customers can use the kiosks to deposit and withdraw money, buy and sell foreign exchange, pay bills, transfer money and buy bonds. The kiosks let the bank expand its network much more quickly than building conventional branches would do.
As some of you might know, I'm quite an active twitterer. Earlier this month, there was a lot of discussion on Twitter about how unique we all were. Why? Because only a very small percentage of people actually tweet regularly. Forrester's Technographics® data shows that only 11% of US online consumers tweet monthly, while more than 84% say that they never tweet.
So who are these “tweeps,” and why are they so attractive to marketers? As one would assume, people who tweet monthly or more display many characteristics of early adopters: They are more educated, more likely to own a smartphone, more likely to be male, and more likely to have a higher income.
What really makes them unique, and at the same time very interesting for marketers, are their attitudes:
Are you interested in business intelligence, wonder about the future of the analytics market or have a question on advanced analytics technologies?
Then join the Forrester analysts Rob Karel, Boris Evelson, Clay Richardson, Gene Leganza, Noel Yuhanna, Leslie Owens, Suresh Vittal, William Frascarelli, David Frankland, Joe Stanhope, Zach Hofer-Shall, Henry Peyret and myself for an interactive TweetJam on Twitter about the state of advanced analytics on Wednesday, December 15th, 2010 from 12:00 p.m. – 1:00 p.m. EDT (18:00 – 19:00 CET) using the Twitter hashtag #dmjam. We’ll share the results of our recent research on the analytics market space and discuss how it will change with new technologies entering the scene and maturing over time.
Business intelligence is the fastest growing software market today as companies are driving business results based on deeper insights and better planning, and advanced analytics is the spearhead of BI technologies that can untap new dimensions of business performance. But what exactly is ‘advanced’ analytics, what technologies are available and how to efficiently use them?
Much more detailed information can be found in the blog of Forrester analyst James Kobielus who will lead us through the discussion during the TweetJam. Above you see an overview graphic listing the different elements of advanced analytics today, taken from his blog.
Here are some of the questions we want to debate during our TweetJam discussion:
What exactly is and isn’t advanced analytics?
What are the chief business applications of advanced analytics?
On September 15th between 11am-12pm EDT Forrester held an interactive TweetJam on the future of cloud computing including Forrester analysts Jennifer Belissent, Mike Cansfield, Pascal Matzke, Stefan Ried, Peter O’Neill , myself and many other experts and interested participants. Using the hashtag #cloudjam (use this tag to search for the results in Twitter), we asked a variety of questions.
We had a great turnout, with more than 400 tweets (at last count) from over 40 unique Tweeter’s. A high level overview of the key words and topics that were mentioned during the TweetJam is visualized in the attached graphic using the ManyEyes data visualization tool.
Below you will find a short summary of some key takeaways and quotes from the TweetJam:
1. What really is cloud computing? Let’s get rid of 'cloud washing!'