A group of us just published an analysis of VMworld (Breaking Down VMworld), and I thought I’d take this opportunity to add some additional color to the analysis. The report is an excellent synthesis of our analysis, the work of a talented team of collaborators with my two cents thrown in as well, but I wanted to emphasize a few additional impressions, primarily around storage, converged infrastructure, and the overall tone of the show.
First, storage. If they ever need a new name for the show, they might consider “StorageWorld” – it seemed to me that just about every other booth on the show floor was about storage. Cloud storage, flash storage, hybrid storage, cheap storage, smart storage, object storage … you get the picture.[i] Reading about the hyper-growth of storage and the criticality of storage management to the overall operation of a virtualized environment does not drive the concept home in quite the same way as seeing 1000s of show attendees thronging the booths of the storage vendors, large and small, for days on end. Another leading indicator, IMHO, was the “edge of the show” booths, the cheaper booths on the edge of the floor, where smaller startups congregate, which was also well populated with new and small storage vendors – there is certainly no shortage of ambition and vision in the storage technology pipeline for the next few years.
Practice makes perfect. In daily life, if someone has proven experience and a good reputation in specific area for relatively long time, we would normally consider them to be trustworthy. For example, if Amazon Web Services claimed that it was a trusted public cloud service provider — if not the most trusted provider — not many professionals in the US would argue against that.
However, this does not necessarily hold true in China; cloud service providers need to receive an official authorization from the government that certifies them as a provider of trusted cloud services (TRUCS). I recently attended the International Mobile and Internet Conference, where I got an update on TRUCS.
TRUCS is an official recognition of standards compliance and quality. TRUCS is issued by the trusted cloud servicesworking group of the China Academy of Telecommunications Research of the Ministry of Industry and Information Technology. The working group defined the basic principles in June 2013; earlier this year, it finalized the evaluation standards in the form of a cloud service agreement reference framework.
The problems Rick identified in CX ecosystems seem to be the result of ossified organizations, cultures, and business relationships. This means CX leaders must drive new levels of responsiveness and creativity into their ecosystems. And the way you drive these attributes into your ecosystems is to seize on the concept of business agility. My colleague Craig Le Clair outlined 10 dimensions of business agility that provide the market, organizational, and process frameworks necessary to embrace market and operational changes as a matter of routine. This is merely setting the strategy, though; executing it requires a marriage between the business and technology strategies.
This Forum will help you identify brand new software opportunities and run with them. It will hit on the must-have competencies that will empower application development and delivery leaders to execute on their company’s engagement strategies. This includes accelerating development processes, creating digital experiences, reaching mobile customers, and exploiting analytics and big data. Forrester analysts will deliver forward-thinking content while industry specialists – from companies such as McDonald’s, Mastercard, and GE Capital - will provide insight into some real and revolutionary new business approaches that are relevant to you right now.
Behavior tracking data is the new black. It is a type of big data that can help you better understand your target consumers — everything from the amount of time they spend on each social media outlet to their most popular time of day to visit shopping websites. Compared with other data sources, it allows you to capture actions at a very detailed level with precision, eliminating measurement errors by analyzing usage of what consumers do, not what they say they do.
In our recent publication, Mobile Behavioral Data: UK, we analyzed Forrester's UK Consumer Technographics® Behavioral Study, November 2013 to March 2014, and found that:
WhatsAppkeeps UK smartphone owners engaged the longest. Forty-one percent of UK adults use the app for just over 8 hours per month (or about 2 hours per week). That is longer user engagement than for any of the other top 10 most popular apps that UK consumers use on their smartphone; this includes Facebook, the most popular app, which keeps smartphone users engaged for a little over 90 minutes per week.
Young UK smartphone owners are most likely to use finance/banking apps. More than half of 18- to 24-year-old UK smartphone owners use finance/banking apps, like the Lloyds Bank app and the NatWest app. These youngsters show the highest adoption of finance/banking apps in the UK, and rates decline with age; about 40% of 25- to 44-year-olds and 34% of 45- to 54-year-olds use finance/banking apps.
Will the iPhone 6, to be announced on September 9, have NFC and a Sapphire Crystal display?
What about the new Samsung Galaxy Note 4, to be announced at Unpacked on September 3? And will the new Nokia Lumia 730 (a.k.a Superman), to be announced on September 4, have a 5-Megapixel rear-facing camera?
As my colleague Frank Gillett puts it, “Samsung's challenge is to establish an enduring relationship with customers, rather than being an interchangeable Android device maker – and it will take more than a new Galaxy Note to do that.”
I’ve recently been thinking a lot about application-specific workloads and architectures (Optimize Scalalable Workload-Specific Infrastructure for Customer Experiences), and it got me to thinking about the extremes of the server spectrum – the very small and the very large as they apply to x86 servers. The range, and the variation in intended workloads is pretty spectacular as we diverge from the mean, which for the enterprise means a 2-socket Xeon server, usually in 1U or 2U form factors.
At the bottom, we find really tiny embedded servers, some with very non-traditional packaging. My favorite is probably the technology from Arnouse digital technology, a small boutique that produces computers primarily for military and industrial ruggedized environments.
Slightly bigger than a credit card, their BioDigital server is a rugged embedded server with up to 8 GB of RAM and 128 GB SSD and a very low power footprint. Based on an Atom-class CPU, thus is clearly not the choice for most workloads, but it is an exemplar of what happens when the workload is in a hostile environment and the computer maybe needs to be part of a man-carried or vehicle-mounted portable tactical or field system. While its creators are testing the waters for acceptance as a compute cluster with up to 4000 of them mounted in a standard rack, it’s likely that these will remain a niche product for applications requiring the intersection of small size, extreme ruggedness and complete x86 compatibility, which includes a wide range of applications from military to portable desktop modules.
Language is evolving; the written word is giving way to visual vocabulary.
Interpersonal communications are shifting from being text-based to image-based, and you don't have to look far for the evidence: We spell using the Emoji alphabet; we comment with photographs; we engage through pictures.
Therefore, it’s no surprise that consumer adoption of visual social networks is growing and that social chatter is becoming increasingly pictorial. Forrester's Consumer Technographics® data shows that US online consumers across generations are interacting with content on Instagram and Pinterest more than before:
As consumers become increasingly versed in the language of visual content, curated images become a powerful means of expressing opinions, conveying emotion, and recounting experiences. As a result, pure text analytics no longer suffice to interpret social chatter; instead, insights professionals have an opportunity to mine the wealth of media-rich data that increasingly pervades social networking sites.
[UPDATE 4 Sept: I have updated this post to the original draft, which includes specific and strong recommendations to publishers and marketers. They had been redacted, but a colleague asked "What would you DO about this?" so I saw fit to reinclude them. These are my answers; there are no easy solutions, but these are a step towards guidelines. Updates at the end of the piece, in bold.]
Publishers Are Engaged In Self-Harm, With Marketers As An Accessory
You remember when the email spam problem maxed out almost a decade ago? Or when content farms threatened to turn Google search results into useless piles of keyword-slurry? Or peak belly fat?
There should be a word for the moments when the mechanisms that aim to keep our electronic information corridors running well fail.
It’s shaping up to be one of those moments for the content distribution space (and particularly its subdiscipline native advertising, or sponsored content).
You can pity the reader who arrives at an article on many publishers’ websites today; I’m talking about you, Guardian and Forbes, but also you, New York Times and Washington Post. How is the reader to know if the article they’ve come to read is the product of a straightforward pay-to-publish play, an informal “link exchange” relationship, an “influencer” play, an independent opinion piece, or a piece of pure editorial? They can’t.
For the record: The “clear labeling” commandment is a fig leaf. By the time a reader has gotten so far through the article that they’re wondering why it keeps promoting a particular mindset, product, or opinion and started searching for cruft around the article, the trust in the information, the source, and the medium is lost.
Last week, Aetna decided to decommission CarePass, its consumer data aggregation platform. It was initially much heralded; however, this development highlights some of the fundamental problems with the health plan’s early forays into this space. I have outlined these issues in my new report, “The Unfulfilled Promise of Plan-Owned Digital Health and Wellness Platforms.” The report went to publication before the CarePass development was announced, but this decision is not at all surprising and validates many of the fundamental challenges with early platforms identified in the report.
The decision to unplug CarePass underscores the fact that there are lots of hurdles for enterprises when it comes to growing digital health as a business. What’s interesting about CarePass is it actually cycled through several different business models during the course of its evolution – ultimately repositioning the business model late last year to go directly after employers. With this pivot, CarePass essentially became a “bring your own” wellness tool servicing the traditional book of health plan business. This may have been the best approach for CarePass, but it came late in the game. Insurance, as a whole, is going to change dramatically over the next three years — with exchanges, defined contribution, etc. Given the competing priorities and the struggles to gain adoption, CarePass may have been doomed before the final pivot back to the employer. However, CarePass did a lot of things right and the CarePass team should be congratulated for their forward approach to the market.