Techaisle Analyst Insights

The desktop virtualization juggernaut continues to gather steam as more companies choose to use the technology to reduce costs, improve security, better disaster recovery, easier management and work from anywhere. Numerous Total Cost of Ownership reports have been published and the message from vendors to IT departments is clear – Desktop Virtualization is the way to securing desktops and reducing costs of management.

dinCloud has been making a lot of noise lately in the hosted virtual desktop area with its 100 percent channel-focused cloud-based business provisioning offerings for SMBs. We therefore had to sit down with Ali Din, CMO and Barry Weber, CTO to understand if the noise was pure cacophony in the media or were they really creating music, as their tag line says “Delivering a Heavenly Experience in the Cloud”. What followed was a series of questions and answers. (This Q&A was not sponsored by dinCloud)

What is the unique value proposition that dinCloud brings to the table for SMBs? All providers talk about customer service, understanding SMB requirements, lowering costs, etc. but we want to know what are the 2-3 unique selling points that resonates with SMBs as far as dinCloud is concerned?

dinCloud offers SMBs a fully integrated solution to run their business including backup & recovery, hosted virtual desktops (HVDs), data center security, networking, and servers. Our unique channel centric approach allows SMBs to continue to do business with the local MSP, VAR, and SI they have a relationship with, giving them local hand holding and supplemental services to run their business. Our SMB customers enjoy cost savings of up to 50 percent, enhanced security and compliance, enterprise class IT infrastructure and services, and an OPEX subscription model conserving capital.

How does dinCloud help SMBs assess and design solutions to meet SMB requirements?

We have developed a standard requirements gathering and onboarding process to rapidly migrate our SMBs’ IT infrastructure to their own virtual private Tier 3 data center. In addition, our proprietary cloud orchestration platform, dinManage, automates provisioning and migration tasks including creation and synching of the Active Directory infrastructure. dinManage is often white labeled by our partners.

How much time does dinCloud actually spend with an SMB prior to its becoming a client? What is the typical interaction?

dinCloud approaches the SMB customer through our channel partners. Engagement time varies to almost zero once our VAR/MSP partner has migrated the first of its customers, to several days of discovery for larger more sophisticated engagements.

How much time does dinCloud actually spend with an SMB on an ongoing basis once they become a client?

dinCloud’s channel partners front end most of the customer support activities; typically we will see approximately 1-2 tickets per week per customer.

In your view why does an SMB consider a hosted solution as compared to on-premise?

The SMB customer will enjoy enterprise-class infrastructure, security, and operations possibly for the first time in their history - they will conserve cash only paying for what they need, giving them unparalleled flexibility. They will now have IT compliance as well as backup and DR protecting their business. dinManage offers the remaining IT staff full visibility and control of their virtual private data center. No more HR costs and problems with training and maintaining several IT resources. Hosting in redundant tier 3 data centers not only provides enhanced security and uptime, but environmental factors such as cooling, electricity, and backup power are eliminated. Hardware, software and multiple point solutions no longer need to be purchased, supported, maintained, and managed. The SMB customer will be able to leverage BYOD and anytime, anywhere access. Additionally the SMB customer will immediately realize 30-50% cost savings when compared to a traditional on-premises model.

dinCloud has partnered with many different vendors, with which vendor solution has dinCloud seen more success? Why?

We have had a great deal of success with the purpose built custom high density super-computers by Super-micro giving us extremely competitive pricing and performance on our servers. Additionally, our investment in 100% NetApp has allowed us to leverage their industry leading tools (SnapMirror and SnapVault), as well as very efficient replication of data between our data center and the customer’s primary backup locations.

What are the top challenges you face in implementing virtualization solutions? 

From dinCloud’s perspective, there are a couple of challenges. There are so many great hypervisors to choose from today and dinCloud offers customers the choice of either VMware or KVM. We strive to stay current with hypervisor versions but coordinating the right time to upgrade hypervisor versions with customer schedules is sometimes a challenge.  While an upgrade should not impact to a customer, they are still very cautious about allowing dinCloud to do this.

What should vendors be doing to help you in offering and implementing virtualization solutions for SMBs?

dinCloud requires next to zero support from its vendors outside of normal bug fixes and some assistance in marketing (Netapp and Microsoft). We work very hard to provide a whole solution for the SMB market. This whole solution includes a private cloud environment with a firewall, selectable IP ranges, integration with AD, HVDs and HVSs, an easy to use cloud portal, choices of hypervisors, monitoring and white glove treatment to help the SMB easily and rapidly achieve their infrastructure goals and optimize operations costs and process.   We do not just provide a virtualization solution.

What are your top core challenges with the SMB customer? 

The SMB customer is often caught between a rock and a hard place when it comes to internal IT skills depth and breadth. dinCloud works to make infrastructure and operations easy for the SMB customer by pre-packaging the whole solution, by automating the implementation and by offering services to extend those that exist within the customer. The SMB customer is often faced with enterprise level requirements (PCI, HIPAA, etc.). They are challenged to deliver on these requirements. dinCloud’s challenge and goal is to continuously solve for their future problems. The SMB customer faces not only a budgetary challenge for skilled resources; they may also have small budgets that don’t match the typical costs of achieving the business IT goals. dinCloud works to continuously driving costs down, thereby helping customers protect their budget.

Any final words before we conclude?

dinCloud is gaining rapid momentum through our 100% channel sold model of complete end-to-end “Business Provisioning”. We believe that SMB customers have always relied on local MSPs and VARs and will continue to do so. dinCloud is emerging as the “Cloud Offering of Choice” for these traditional regional MSP/VARs, and more than any other market segment the SMB customer has a perfect use case for cloud-based IAAS, delivered by their local and trusted long time IT resellers.

Techaisle Take

dinCloud, a reseller has become a service provider. As we have written and presented several times that cloud computing is continuing to challenge the channel forcing them to develop and be trained in new competencies. These encompass service provisioning, billing, data center management, customer support and a whole host of related competencies. dinCloud by standard definition is not an IT vendor like VMware or NetApp but it has developed offerings by combining products from established vendors and instead of selling directly to customers is funneling its sales through its own channel partners.

Most SMBs rely on their local channel partners for maintenance & management of their IT infrastructure as well as for advice on new IT purchases. dinCloud is developing a network of channel partners and providing them appropriate training and skills to sell and manage cloud solutions for their local SMB customers. They are - Educating and training channel partners on what cloud actually means and how it impacts the SMBs; Developing solutions and use cases; Providing an effective and efficient pre-sales support to their channel partners to engage with SMBs.

DaaS (Desktop-as-a-Service) is poised for growth and dinCloud has positioned itself extremely well. Techaisle's survey shows that there is a growing SMB intent to use hosted VDI as shown in the chart below. The data compares the current implementation versus planning to implement. The survey shows that there is a 46 percent increase (from current 15 percent to planned 22 percent) in intent to use hosted VDI within mid-market businesses when compared with those that have currently implemented.

dinCloud is a good example of what Philippe Fossé,  Vice President of Europe, Middle East & Africa (EMEA) Channels, EMC wrote today, “More and more we see service integrators becoming resellers; resellers becoming service providers; and even users becoming service providers. This evolution is unprecedented, but is only the tip of the iceberg”

dinCloud has the right business philosophy, market understanding and product portfolio. They are making noise at the right time. They have had some major wins in the past few months such King Hawaaiin, maker of the number one branded dinner roll in the US which selected dinCloud to implement its hosted virtual desktop, server, and storage services to help IT improve efficiency and better manage operations across all its baking facilities and restaurants.

That noise they are creating could well become an orchestra.

 

In our recent SMB survey in North America, Europe and Asia/Pacific we explored 14 potential sources of information on technology solutions. Some of these, such as TV or newspaper/magazine advertising, are clearly ‘top of the funnel’ options, intended to build awareness. Some options, including brochures and fact sheets, help to build consideration for specific solutions amongst prospective customers who are considering a specific type of solution. A third set of information sources, including product reviews on websites, case studies and whitepapers are primarily intended to build preference. And a fourth set, including seminars and face-to-face sales calls are used to convert prospects into closed business. Complicating these categorizations is the presence of options, such as the manufacturer’s website, that address multiple points in this process spectrum.

Which of these sources is most important to reaching a potential SMB buyer? Unsurprisingly (given the increasing complexity of the DMU [Decision Making Unit]), the answer is “it depends”.  Our research, as shown in the figure below, demonstrates that manufacturer website is an important source of information for small and medium businesses, and for ITDMs and BDMs [ITDM and BDM data not shown in the figure]. We also see that recommendations, IT news and analysis sites and personal sales calls help drive behavior.

What is really interesting, though, is the extent to which the data indicates use of multiple sources. Except in the mid-market, each of the top five information sources is used by more than one-third of the target audience; except in small business, each of the top 10 sources is used by at least 19% of the target. As the statistics regarding pre-contact information gathering above suggests, buyers are doing extensive research before connecting with potential suppliers – and potential suppliers need to be present in the media that the buyers are using, to make it past awareness to the consideration and preference stages that often occur beyond the purview of the IT vendor.

If we look again at the information sources listed in the figure above, we can appreciate the ways in which the channel can support the overall sales process. For example, small businesses like to get personal calls from suppliers – but calls like these to small businesses are far more likely to originate from a local channel representative than from a manufacturer. Similarly, BDMs are looking for personalized service and recommendations – but many IT suppliers, OEMs and channel partners alike, lack the understanding needed to communicate meaningfully with this audience. Who needs to be involved to help direct these discussions?

Vendors need to engage with SMB customers while the solution is being defined – not when the only decisions remaining are “whose components, and at what cost”? SMB buyers are using high-value content to define their IT buying approaches. Vendors need to build messages around/within high-value content to ensure that they can influence solution design and preferences.

Asia/Pacific version of above Infographic is here.

This is the second in a series of BI-related posts and it deals with what platforms are being selected and what objectives are being served with SMB Business Intelligence customers. Despite a much shorter history than packaged BI, our survey found a higher level of Cloud-based  than packaged BI applications within the SMB respondent base. You may want to open it up to full size as the charts are a little crowded.

Wall Street Journal Article

This is an interesting article from the WSJ concerning how we are slowly allowing decision-making processes to move away from people and be handled by algorithms instead. It caught our attention at a time when we are completing survey work for Business Intelligence report. As discussed in an earlier post, one of the key trends in BI is how deeply it is being embedded into all kinds of applications , and this article is a good example. Please let us know what you think: comment, like, tweet or forward.

Laying the Foundation

Analytic software has evolved through several generations over the last 70 years from around WWII, when a series of unprecedented number-crunching challenges gave rise to Decision Support Systems (DSS) designed to solve problems such as best equipment production mix given material constraints, how to logistically support the Allied invasion of Europe, split the atom, or break the Japanese code. These kinds of problems tended to be monolithic, using stochastic models to find the best answer – and were a major catalyst to development of the mainframe computer.

Business Intelligence (BI) followed this linear and iterative approach with one that supported solving business problems, mostly operational, within divisions and departments of large commercial organizations, using more distributed equipment within a wider audience, i.e., Finance, Operations and Distribution. In the late 1990s there was an explosion of data resulting from widespread adoption of CRM, the killer app of the Client/Server era, adding mountains of Sales and Marketing Data to the volumes of operational information. There was a growing need to get a top down view of how performance in one area of the organization was impacting the others, to begin taking a more structured approach at understanding cause and effect, setting objectives and consistently measuring performance to improve results. BI was evolving into Enterprise Performance Management (EPM) - which is where market leaders are today.

EPM is characterized by using Business Intelligence software to understand the best performance scenarios, measure actual performance indicators (KPIs) and determine how to close the gaps, using exception reporting for most front office functions (CRM/SFA) and rules-based processing for the back office (Process Manufacturing/Real Time Bidding, SCM/Advanced Web Analytics).

Optimization Nation

Equally important as the individual BI technology advances are some of the underlying rules that have accompanied the evolution: Moore’s Law, Metcalfe’s Law, the Law of Accelerating Returns all drove exponential growth in production, adoption and utility. Over a 20 year period, these have resulted in a slow-motion Black Swan event based on the cumulative effect of technology investments, and having huge impacts on our society, including but not limited to the following optimization activities:

Economy – development of consumer mortgage products designed to optimize sales volume regardless of risk, bundling them into bonds to optimize profit on the debt, creation of derivatives to optimize transactions and create demand for increasingly suspect debt, development of new financial instruments that have no underlying value such as  synthetic derivatives that truly have nothing but conceptual paper profits behind them, etc. By 2008 these financial instruments had optimized leverage to create risk greater than the combined GDP of industrialized world.

Employment – The WSJ article goes into depth about how algorithms have already replaced a hiring manager's decisions based on probabilities of how the employee might behave under certain circumstances. Employer choices have also been optimized by a flattening of the market caused by oceans of virtually unlimited supply from sites like Monster.com, 100K Jobs, Dice, etc. Middle management has been optimized out of the organizational chart and replaced with productivity tools, more efficient communications and a lower ratio of managers to workers. And the actual number of staff required to hit the bottom line has been optimized while CEO salaries have been optimized. If we look a little further down the line, Andrew McAfee's POV is deep on this subject, and more technical than mine.

Industry – We all know that manufacturing was moved offshore en masse over the past three decades to optimize production costs, but several other industry segments have been optimized as well, including Retail which has optimized through consolidation and healthcare which has optimized revenue per patient. Retail has been optimized at a structural level, to provide one-stop shopping for almost everything you need in a single location while volume has been optimized to produce the absolute lowest price and any cost, including optimizing the number of worker hours to keep an optimal ratio of full time to part time employees and save the resulting benefit costs. And it has also optimized the number and variety of retail outlets and small businesses required to service an optimized population in square miles. Healthcare prices have been optimized to take advantage of tax structure, potential law suits, healthcare insurance gaps, maximizing federal matching funds, Board and C-Suite compensation, pharma industry profits, and many more.

Government – Automation has also enabled a profitable business model that optimizes the use of Federal Government funds and ensures that every available dollar is spent, whether it is to make sure everybody gets a state-of-the-art mobile wheelchair, their 120 monthly catheters, a speaking glucose meter, maximum disability benefits, etc.  “Don’t worry - we’ll handle all the paperwork.”

Set it and Forget it

The imminent next generation of analytics involves truly “optimized” complex systems with human intervention largely removed from the process. Not to single out Wall Street, but they offer one of the best examples of unbridled application of technology in the singular pursuit of optimization, in their case, profit for themselves and their shareholders. The Financial Services industry has invested billions into technology and employed thousands of physicists and Ph.D.-level mathematicians to achieve a couple-millisecond transaction advantage, and programmed algorithms to use the advantage and change the rules (i.e., share price represents perfect information is no longer true). This has not proved to always produce predictable results, and the ghost in the machine has put us back on the precipice more than once, as seen in this TED video by Kevin Slavin. As we move into a brave new world that combines optimization software with networks that operate too fast for human intervention, more of our lives will be controlled by how rules are programmed into the system than what we do as individuals to impact the results. One of the best examples of where this is heading is the IBM’s Smarter Cities Initiative, which combines intelligent networks that manage Traffic, Water and Electric Utilities, Transportation, Healthcare, Public Safety, Education and others into an overall “Intelligent City”. Everyone hates traffic, so the video example from the IBM innovation site does more to explain this than I can by writing more on the subject.

Whether you agree with it or not, we are on a direct course to this future that is almost impossible to divert. This is a philosophical question and everyone will have their own opinion about the cost/benefit of chasing optimization. Comments and Opinions are welcome, please let us know what you think.