Earlier this spring I was determined to tell the responsive web site management/operation story as a linkage between RWD’s business metrics and operational/site performance metrics and improvement tactics. Instead, I found a fragmented story: The business teams have different processes, tools, and goals from technical teams, whereby ‘management’ happens in isolation from ‘operation.’ Business teams that need to prove the ROI of RWD simply did not have a direct linkage to site performance, operations, and monitoring efforts. Compounding the problem, many front-end development agencies that build responsive sites don’t focus on metrics because they aren’t contracted for managed services after the site goes live. As a result, responsive site owners/committees must find their own fix, and our recent research is designed to address both RWD’s performance operations (i.e., speed) issues and business-value analysis for responsive sites:
When the first Linux distributions based on the 3.0 kernel were released almost a year ago, I was struck by how far Linux had advanced. The latest turn of the crank for Linux, in the form of Red Hat Enterprise Linux 7 (RHEL 7), reinforces this opinion. Built primarily on recent versions of the Linux 3.0 et seq kernel available to the entire Linux community, including SUSE, Red Hat, Cannonical and others, RHEL 7 continues the progress of the Linux community toward an OS that is fully capable of replacing proprietary RISC/UNIX for the vast majority of enterprise workloads. It is apparent, both from the details on RHEL 7 and from perusing the documentation on other distribution providers, that Linux has continued to mature nicely as both a foundation for large scale-out clouds as well as a strong contender for the kind of enterprise workloads that previously were only comfortable on either RISC/UNIX systems or large Microsoft Server systems. In effect, Linux has continued its maturation to the point where its feature set and scalability begin to look like and feel like a top-tier UNIX.
In addition to the required low-level plumbing – schedulers, memory management and file systems capable of keeping up with both high-volume transactions and operating effectively in large distributed clusters – Red Hat has also focused on features to improve the installation and management experience, thus directly reducing cost of ownership, following in the footsteps of other modern OS development trajectories.
Among the enterprise technology that caught my eye:
Business needs and requirements demand expertise and coordination for privacy programs and practices. As a result, chief privacy officers, data protection officers, and other designated privacy professionals like privacy analysts are a fast growing presence within the enterprise today. The International Association of Privacy Professionals (IAPP) is 16,000 members strong today (compared to 7,500 back in 2010) and growing!
In many organizations, a dedicated privacy professional (e.g., a full-time employee who focuses on privacy and not someone who has privacy responsibilities attached to another role) is a new role. Privacy professionals come from a variety of backgrounds from legal to IT, and the details of their role and focus can vary depending on the organization and the size of the privacy team. Yet they all have one thing in common: they must work together with multiple privacy stakeholders – IT, security, legal, HR, marketing, and more! – across the enterprise. And honestly, it’s not always easy. Like any relationship, there are ups and downs.
At the Cisco Live Event 2014 in San Francisco last week, we heard about plenty of updates, extensions, and new acquisitions to expand the business. The major technologies highlighted were InterCloud, Application Centric Infrastructure (ACI), and the Internet of Everything (IoE). Among these new offerings, I reveal that Cisco’s extended big data and analytics capabilities excited me the most. Why? Because its data virtualization techniques can help customers easily analyze large volumes of virtual data, no matter where it physically resides; enhanced video analytics technology could improve the customer experience when checking out in retail stores or waiting for a train; while IoE analytics and digital intelligence increase customer engagement.
Data virtualization supports big data analytics. End user organizations realize the importance of quickly and carefully making decisions; to do this, they plan to centralize data from different branch offices or departments. Consolidating data that resides in multiple systems and in global locations — or that is locked away in spreadsheets — is expensive. For example, telecom operators in China have hundreds of millions subscribers and need to consolidate and analyze this customer data — but it resides in 31 provincial companies. Data consolidation will be a huge and expensive project, but data virtualization technology can help solve this problem. Customers could consider adding Cisco to their data virtualization vendor shortlist, especially given Cisco’s acquisition of Composite Software last July.
Apple’s new "Extensibility" feature took somewhat of a backseat to a host of exciting new developer tools announced at Apple’s developer conference a week ago. I’d like to briefly highlight its importance to the enterprise.
In short, Extensibility makes it easy for apps to talk to each other, facilitating more complex mobile workflows and easy access to data stored in personal cloud services. It will spur app developers work together to speed the advancement of what employees will be able to accomplish on mobile.
To elaborate, Extensibility will enable:
Complex inter-app workflows for mobile employees. More advanced content creation apps have been slow to develop on mobile platforms, in part due to lack of app interoperability. Think of the multiple software tools we use to pull a contract from email, sign it, and send it back on a PC. Data must similarly flow across a variety of apps to accomplish this on mobile. Apple has done little to address this, until now.
Access to the personal cloud in enterprise apps. Employees rely on personal cloud services like Dropbox and Evernote to manage an expanding array of digital content online. But these repositories don’t integrate with the enterprise off the bat. Extensibility can act as a router to connect personal data with the apps your employees use every day on the job.
Banks are burdened with sizable infrastructure, struggle to service traditional and emerging channels, are severely boxed in by increasing compliance demands, and are not particularly nimble — also due to overly seasoned business applications. At the same time, the banking industry is ripe for digital disruption, as banks’ traditional strengths of size and breadth aren’t sufficient to ward off a mix of alternate financial service digital disruptors such as Google, new digital banks, emerging payment networks, and traditional institutions like Wal-Mart entering this market.
Business agility will be their most fundamental strength and competitive weapon. But how do leading banks today compare on agility? We surveyed 30 banks and determined that high performers excelled in market agility dimensions. We then ranked US banks using customer experience and product expansion scores. This report is due out this month so stay tuned.
Clients now have a report that helps them make more informed choices about selecting a PIM solutions. PIM is not always a well understood master data solution option for Enterprise Architects. Questions arise about, do I need PIM or MDM or do both? Aren't PIM and Product MDM the same? How does this fit in my architecture? This report takes away the confusion, answers these questions. It gives insight into how vendors satisfy PIM demands, differentiate from MDM and operate in hybrid scenarios.
The first Forrester Wave collaboration across the Business Technology and Marketing and Strategy groups. In the age of the customer, tighter collaboration between business decision makers and technology management professionals is critical. This wave addresses both perspectives providing the business requirements for marketing and product professionals while also addressing the technical questions that are important when selecting tools. Yes, business and technology management can work together, be on the same page, and produce great results!
In advance of next week’s Forrester’s European Forum For Technology Management Leaders in London (June 12-13), we had an opportunity to speak with Oliver Bussmann, one of our industry keynote speakers, about digital business and how UBS is responding to the challenges of digital disruption and to rising customer expectations.
Oliver Bussmann joined UBS in June 2013 as Group Chief Information Officer (CIO), responsible for the Group Technology organization. As Oliver will explain in his presentation on day 2 of the Forum, digital business transformation success in his view hinges on three key factors: A joint and strong partnership of IT and the business working together; creating a culture of innovation and entrepreneurship; consistent and authentic support of senior leadership to demonstrate by example that this transformation is real, necessary and appreciated.
I hope you enjoy Oliver's responses as much as I did, and do join us on June 12-13 to hear the full story!
Q: What is your agenda as CIO at UBS?
As CIO my job is to position IT as a business enabler, this involves understanding the firm's strategic priorities, and ensuring we strike the right balance between (1) managing the traditional IT functions to ensure a cost-effective, reliable and secure infrastructure and (2) focusing on strategic IT, driving transformational change through innovation, to increase revenue opportunities and deliver real value to our business.
It’s no surprise that digital disruption is everywhere. Empowered customers are disrupting every industry, and infrastructure and operations (I&O) leaders must adapt to this new reality. We believe that technology management is in the middle of a new evolutionary cycle that will transform I&O from its traditional role as infrastructure provider to a new role as a broker and manager of technology services.
It’s should also be no surprise, then, that cloud and mobile disruption is putting a strain on traditional infrastructure team organizational structures. Consolidated and hybrid cloud infrastructure needs a new organization, and you need to prepare your team for the new business technology era. To do so, you need to encourage your team to develop service management, automation, collaboration, and marketing skills, to name a few. We’re seeing a spike in inquiries about new organization models to speed the path to cloud.
Two years ago, I published one of my most popular reports, Understand The True Cost Of Cloud Services. In it I laid out a model to help compare current infrastructure costs against the costs of running equivalent workloads at a traditional hosting provider and in the AWS public cloud. This type of comparison is often the first step in a company’s journey to cloud. Before you start moving workloads to any cloud provider, are you sure the cost savings are really there? The answer isn’t always obvious, and depends on measuring a set of critical metrics, including:
· Your application load patterns
· Your current operations team staff costs
· Your virtualization consolidation ratio
· Your storage and network hardware, license and administrative costs
· Your facilities (space, power, cooling) costs
The problem with cloud cost modeling is that it can be hard to get accurate estimates for current costs – find the right people, ask them for cost details, work through the numbers, verify accuracy, project future costs, etc. – and things that take too long just don’t get done. In our model, we used our Relative Cost of Operations methodology to simplify analysis and focus on what changes when you shift to cloud infrastructure. I also faulted some of the public cloud providers for low-balling cloud costs or hiding assumptions in their own on-line cost comparison tools.