Each month we use our newsletter and a podcast to highlight one of the many talented and hardworking analysts and researchers on Forrester's Security & Risk team. If you're not signed up for our newsletters, I highly encourage you to do so; please email firstname.lastname@example.org for additional details. In the meantime, click below to listen to our analyst spotlight on senior analyst Renee Murphy, one of our leading analysts on governance, risk, and compliance. You'll hear some great insights from Renee on clients' top challenges and requirements, surprising research findings, and upcoming research and vendors to watch. To download the MP3 version of the podcast, please click here.
I'm at IDF, a major geekfest for the people interested in the guts of today’s computing infrastructure, and will be immersing myself in the flow for a couple of days. Before going completely off the deep end, I wanted to call out the announcement of the new Xeon E5. While I’ve discussed it in more depth in an accompanying Quick Take just published on our main website, I wanted to add some additional comments on its implications for data center operations, particularly in the areas of capacity planning and long-term capital budgeting.
For many years, each successive iteration of Intel’s and partners’ roadmaps has been quietly delivering a major benefit that seldom gets top billing – additional capacity within the same power and physical footprint, and the resulting ability for users from small enterprises to mega-scale service providers, to defer additional data spending capital expense.
Often lagging in priorities when it comes to data strategy, it appears that data quality is coming back in favor. As organizations expand beyond data exploration and discovery to putting real action in place organization wide based on these insights, the risk of getting the answer wrong or having dirty data is higher.
But, this may be anecdotal supposition, even in light of the wide conversations I've had with clients. What we do know quantitatively is:
1) Data quality is the most important topic for information governance according to our recent Business Technographics research for data and analytics. In fact,
2) We see an uptick in data quality inquiries from last year.
3) Vendors are introducing data preparation tools that infuse data quality and governance into analytic and BI processes
Anecdotal evidence and quantiative evidence leads me to the thought that there is a bigger shift happening in how we think about data quality, how we act upon it, and what doing so does for our buisnesses. When things are a-changing it always make my brain itch to get more data, more stories, and more evidence. And, while I'm curious, I'm assuming you are too. It is great to see that something in influencing change - and we want to know what that is in order to determine if we too need to change. However, what is more important is what are organizations doing and which are standing out in terms of success and improved ways of thinking and execution? In the end, do we need to write a new playbook* for data quality? Has the bar been reset and we need to rebenchmark?
The mobile mind shift: what is it? Forrester defines the mobile mind shift as the expectation that any desired information or service is available, on any appropriate device, in context, at a person's moment of need. It’s the reality that your customers (and employees!) live in today, where mobility isn’t just about devices or apps anymore but more about a change in attitude (e.g., individuals don’t just expect the availability of information/services, they demand it). With this mind shift comes a few other attitude shifts, notably around privacy and security of personal information and devices. In our 2013 surveys, Forrester saw that:
Given a choice of how to address security concerns on the devices they use for work, 38% of North American and European information workers prefer to do it themselves, while 20% would take action based on guidance from their employer.
When doing things online, 59% of US consumers are concerned about identity theft, 33% do not want their information permanently recorded and accessible to others, and 22% are concerned that their data will be sold to another company.
We have lots of fun at these events too. Check out this video of last year's event where we grabbed both clients and analysts and asked them an important, and to some, philosophical question: What Makes A Great Application Developer? See if you'd answer the same way.
During the internet bubble of 2000, many of us predicted E-delivery of business content would reach a 40% to 50% adoption within a few years. Here we are now almost 15 years later and it still hovers around 20%. How can this still be true in 2014? Enterprises want print to become a secondary channel because it's less expensive. They form committees to ensure output from core systems is consistent, compliant, and adds to the customer experience. Stymied by low adoption rates — except in specific demographics, such as online brokerage and banking — many enterprises have lost enthusiasm for aggressively prioritizing digital adoption. And it's hard to blame them.
Unfortunately, we are the problem. We do not link paper usage with carbon contribution, don't trust our institutions, or are just are afraid of missing a payment unless the bill lands in the mailbox. Despite the plethora of smart devices, pervasive video, and social media that allow us to interact easily with customer service agents, pass information digitally, and complete business transactions on-the-run, we still hold on to paper delivery. I discuss the reasons for this here and what firms can do about it.
Tomorrow, Apple will reportedly unveil its wearable device, widely dubbed "iWatch" (though we don't yet know for certain what Apple will actually call the device). I'll be at the event in person along with a number of Forrester analysts. In advance of the event, my colleague James McQuivey and I have released two new reports -- one targeted at CMOs and one targeted at I&O professionals -- to preview what we think this release will mean.
We've been thinking about the ramifications for several months, though we held the report until right before the event. I've been writing about wearables for well over a year, and back in February I authored a column for ComputerWorld in which I laid out what we would hope to see in the perfect smartwatch. Some of the elements of a perfect smartwatch I emphasized then were:
I had the good fortune of moderating a panel on the state of digital business at the Chief Digital Officer Global Forum in Singapore yesterday morning. The event showcased a who’s who of digital business leadership in the region, including my panelists Veena Ramesh of Johnson & Johnson, Jerry Blanton of Citi, and Veronique Meffert of Great Eastern Life.
Organizational issues are the greatest hurdle. There was not a single dissenting voice on the fact that organizational challenges represent the biggest impediment to digital business progress. The greatest organizational challenges are functional silos, business unit resistance, a lack of clear guidance from the CEO, rigid backward-looking mindsets, and a shortage of the skills needed to drive change. One approach — shared by Rahul Welde of Unilever — is to drive “digital experimentation funds” and “foundries” to drive co-creation innovation.
Media command centers are becoming critical marketing assets. Both representatives from Unilever and Philips spoke of the critical role that media command centers now play in their marketing campaigns. In the case of Philips, I was surprised to learn that its social media command center in Singapore employs 200 people — and that it is planning for expansion!
By all accounts, we’re approaching a new order of integration between technology and medicine. Real-time medical diagnostic data obtained from our mobile phones will soon be integrated directly into our electronic medical records where clinicians can use the data to make more-accurate (and potentially dynamic) treatment plans. Hospital staff can communicate and react to changing patient conditions faster and with less disruption to the patient experience than ever before, thanks to increasingly integrated mobile messaging systems and other mobile applications (for both the patients and clinical staff).
Applying big data analytics to PHI promises to improve patient outcomes and lead to more efficient —and less costly — patient care. It’s hard not to feel a level of excitement as this convergence of healthcare, mobile technology, and big data progresses at an accelerated rate. However, with all of this new patient data being collected by insurance payers, medical providers, and third-party services, healthcare employee endpoints have become an especially vulnerable source of data loss.
■Healthcare records are five times as likely to be lost due to device theft/loss.¹ If you’re a CISO at a healthcare organization, endpoint data security must be a top priority in order to close this faucet of sensitive data. Consequences will increasingly be more than just a mere slap on the wrist with fines, as consumers fight back.