Techaisle Blog

Techaisle’s detailed survey on Hybrid Cloud Adoption trends covering small, midmarket and enterprise firms shows that although Amazon AWS has established its initial presence within the US businesses, Microsoft Azure is quickly becoming the cloud platform of choice.

Microsoft Azure, a public cloud computing platform, is a growing collection of integrated cloud services that includes analytics, computing, database, mobile, networking, storage and web. Microsoft Azure initially focused strictly on PaaS but has now entered into IaaS market and launched a technical preview of Azure Stack, a platform designed to allow business to deploy an on-premise private cloud and manage a hybrid cloud environment. Microsoft Azure offers Hyper­-V-­virtualized multi-tenant compute with multi-tenant storage along with many additional IaaS and PaaS capabilities, including object storage and a CDN, Azure Marketplace which offers various third party software and services and Azure ExpressRoute that meets the colocation needs of various small and medium businesses.

The respondents for the survey were CIOs, CSOs, CTOs, VP of IT, Director of IT, Senior manager of IT as well as key business decision makers responsible or influential in adopting cloud platforms within their organizations.

Businesses cited many different reasons as to why Microsoft Azure is becoming a platform of choice.

Data from Techaisle’s study channel partners (research analysis documented in Techaisle’s series of reports either delivered individually or as Channel Partner Research Annual subscription service) tell fascinating stories. Excerpt from the specific study of 650 US channel partners selling managed services, based on Techaisle’s database of over 250,000 partners, shows that the sales cycle length varies not only by line of business, but also by expertise levels:

• Cloud provider channel, on average takes 2 weeks longer in its sales cycle as a cloud provider channel
• Systems Integrators’ average sales cycle is ~1.5X of VARs because of complexity of SI’s engagement with an SMB. VARs, are often selling products into existing accounts, have relatively short sales cycles, while SIs, who are positioning complex solutions, have longer sales cycles than other channel businesses
• Even a consultant who is usually familiar to an SMB organization has to prove that they are the right partner and it involves building a plan and showcasing why their advice and solution would be ideal for SMBs

More fascinating are the four charts below.

Intrinsic to positioning any IT-enabled solution is an understanding of the benefits that the customer anticipates obtaining from deployment of the technology. Buyers need to understand how the solution helps them to increase revenues, cut costs, improve efficiency or otherwise enhance shareholder value; vendors need to be able to position their offerings as a means to achieving these objectives.

While there is a close relationship between “analytics” and “Big Data” – and they are often conflated in the press – the two technologies follow somewhat different paths into SMB user environments. Techaisle research has found that analytics solutions tend to be driven by BDMs – business users looking for better ways of approaching high-priority business issues. In some cases, this requires access to vast quantities of high-velocity, variegated sources, which in turn demands a Big Data solution – but in contrast to analytics adoption, Big Data initiatives rely heavily on IT for implementation and ongoing management, and represents a solution area that requires collaboration between BDMs and ITDMs.

While SMB Big Data buyers view support for (predictive) analytics as their top acquisition driver, they also have distinct needs and preferences that suppliers must consider in building a sales and marketing strategy.

One interesting observation contained within Techaisle’s 2016 SMB & Midmarket Analytics Adoption survey results is the relationship between sales channel and analytics strategy. The survey of 1,116 US SMBs found that a higher percentage of businesses with an omni-channel approach that includes both online and offline sales channels are using analytics than those relying entirely on either online or offline sales. In fact, overall, 85% of omni-channel SMBs are using analytics and 38% are using big data solutions. On the planned side of the equation, another 46% of omni-channel SMBs are investigating use of big data technologies. Even the average spending on analytics by omni-channel SMBs is 3X that of eCommerce only SMBs and 6X of those that do not sell online.

Data illustrates that nearly 60% of SMBs (and almost three-quarters of midmarket firms) employing an omni-channel strategy are already using analytics to track website hits – a rate that is higher than for firms using ecommerce-only, and much higher than for firms that do not use online sales.

Another set of data adds context to this focus on website tracking. Omni-channel businesses tend not to be using particularly advanced approaches to analytics:

• 39% use “descriptive” analytics, and
• 30% have deployed “predictive” or “prescriptive” analytics.

However, omni-channel firms do tend to have some type of strategy – only 5% report that their use of analytics is ad hoc, vs. 13% of ecommerce-only firms and 18% of firms with no online sales.

The current analytics solution deployment & usage differs greatly from future plans within the omni-channel SMBs.