Techaisle Blog

Many organizations are starting to think about “analytics-as-a-service” (no acronym allowed) as they struggle to cope with the problem of analyzing massive amounts of data to find patterns, extract signals from background noise and make predictions. In our discussions with CIOs and others, we are increasingly talking about leveraging the private or public cloud computing to build an analytics-as-a-service model.

The strategic goal is to harness data to drive insights and better decisions faster than competition as a core competency.  Executing this goal requires developing state-of-the-art capabilities around three facets:  algorithms, platform building blocks, and infrastructure.

Analytics is moving out of the IT function and into business — marketing, research and development, into strategy.  As a result of this shift, the focus is greater on speed-to-insight than on common or low-cost platforms.   In most IT organizations it takes anywhere from 6 weeks to 6 months to procure and configure servers.  Then another several months to load configure and test software. Not very fast for a business user who needs to churn data and test hypothesis. Hence cloud-as-a-analytics alternative is gaining traction with business users.

The “analytics-as-a-service” operating model that businesses are thinking about is already being facilitated by Amazon, Opera Solutions, eBay and others like LiquidHub.  They are anticipating the value migrating from traditional outmoded BI to an Analytics-as-a-service model.  We believe that Amazon’s analytics-as-a-service model provides a directional and aspirational target for IT organizations who want to build an on-premise equivalent.

 

Situation/Problem Summary: The Challenges of Departmental or Functional Analytics

The dominant design of analytics today is static or dependent on specific questions or dimensions. With the need for predictive analytics-driven business insights growing at ever increasing speeds, it’s clear that current departmental stove-pipe implementations are unable to meet the demands of increasingly complex KPIs, metrics and dashboards that will define the coming generation of Enterprise Performance Management. The fact that this capability will also be available to SMBs follows the trend of embedded BI and dashboards that is already sweeping the market as an integral part of SaaS applications. As we have written in the past, the move to true mobile BI can be provided as an application "bolt-ons" that work in conjunction with an existing Enterprise Applications or as pure play developed from scratch BI applications that take advantage of new technologies like HTML5. Generally, the large companies do the former through acquisition with existing technology and integration and with start-ups for the latter. Whether at the Departmental or Enterprise level, the requirements to hold down costs, minimize complexity and increase access and usability are pretty much universal, especially for SMBs, who are quickly moving away from on-premise equipment, software and services.

After years of cost cutting, organizations are looking for top-line growth again and finding that with the proliferation of front-end analytics tools and back-end BI tools, platforms and data marts, the burden/overhead of managing, maintaining and developing the “raw data to insights” value chain is growing in cost and complexity - a balance that brings SaaS and on-premise benefits together is needed.

The perennial challenge of a good BI deployment remains: it is becoming increasingly necessary to bring the disparate platforms/tools/information into a more centralized but flexible analytical architecture. Add to this the growth in volume of Big Data across all company types and the challenges accelerate.

Centralization of analytics infrastructure conflicts with the business requirement of time-to-impact, high quality and rate of user adoption - time can be more important than money if the application is strategic.  Line of Business teams need usable, adaptable, and flexible and constantly changing insights to keep up with customers.  The front-line teams care about revenue, alignment with customers and sales opportunities. So how do you bridge the two worlds and deliver the ultimate flexibility with the lowest possible cost of ownership?

The solution is Analytics-as-a-Service.

 

Emerging Operating Model:  Analytics-as-a-Service

It’s clear that sophisticated firms are moving along a trajectory of consolidating their departmental platforms into general purpose analytical platforms (either inside or outside the firewall) and then packaging them into a shared services utility.

This model is about providing a cloud computing model for analytics to anyone within or even outside an organization.  Fundamental building blocks (or enablers) like – Information Security, Data Integrity, Data and Storage Management, iPad and Mobile capabilities and other aspects – which are critical, don’t have to be designed, developed, tested again and again. More complex enablers like Operations Research, Data Mining, Machine Learning, Statistical models are also thought of as services.

Enterprise architects are migrating to “analytics-as-a-service” because they want to address three core challenges – size, speed, type – in every organization:

• The vast amount of data that needs to be processed to produce accurate and actionable results

 

• The speed at which one needs to analyze data to produce results

 

• The type of data that one analyzes - structured versus unstructured

The real value of this service bureau model lies in achieving the economies of scale and scope…the more virtual analytical apps one deploys, the better the overall scalability and higher the cost savings. With growing data volumes and dozens of virtual analytical apps, chances are that more and more of them leverage processing at different times, usage patterns and frequencies, one of the main selling points of service pooling in the first place.

 

Amazon Analytics-as-a-Service in the Cloud

Amazon.com is becoming a market leader in supporting the analytics-as-a-service concept. They are attacking this as a cloud-enabled business model innovation opportunity than an incremental BI extension.  This is a great example of value migration from outmoded methods to new architectural patterns that are better able to satisfy business’ priorities.

Amazon is aiming at firms that deal with lots and lots of data and need elastic/flexible infrastructure.  This can be domain areas like Gene Sequencing, Clickstream analysis, Sensors, Instrumentation, Logs, Cyber-Security, Fraud, Geolocation, Oil Exploration modeling, HR/workforce analytics and others. The challenge is to harness data and derive insights without spending years building complex infrastructure.

Amazon is betting that traditional enterprise “hard-coded” BI infrastructure will be unable to handle the data volume growth, data structure flexibility and data dimensionality issues.  Also even if the IT organization wants to evolve from the status quo they are hamstrung with resource constraints, talent shortage and tight budgets. Predicting infrastructure needs for emerging (and yet-to-be-defined) analytics scenarios is not trivial.

Analytics-as-a-service that supports dynamic requirements requires some serious heavy lifting and complex infrastructure. Enter the AWS cloud.  The cloud offers some interesting value 1) on demand; 2) pay-as-you-go; 3) elastic; 4) programmable; 5) abstraction; and in many cases 6) better security.

The core differentiator for Amazon is parallel efficiency - the effectiveness of distributing large amounts of workload over pools and grids of servers coupled with techniques like MapReduce and Hadoop.

Amazon has analyzed the core requirements for general analytics-as-a-service infrastructure and is providing core building blocks that include 1) scalable persistent storage like Amazon Elastic Block Store; 2) scalable storage like Amazon S3; 3) elastic on-demand resources like Amazon Elastic Compute Cloud (Amazon EC2); and 4) tools like Amazon Elastic MapReduce.  It offers choice in the database images (Amazon RDS, Oracle, MySQL, etc.)

 

How does Amazon Analytics-in-the-Cloud work?

BestBuy had a clickstream analysis problem — 3.5 billion records, 71 million unique cookies, 1.7 million targeted ads required per day. How to make sense of this data? They used a partner to implement an analytic solution on Amazon Web Services and Elastic MapReduce. Solution was a 100 node cluster on demand; processing time was reduced from 2+ days to 8 hours.

Predictive exploration of data, separating “signals from noise” is the base use case. This manifests in different problem spaces like targeted advertising / clickstream analysis; data warehousing applications; bioinformatics; financial modeling; file processing; web indexing; data mining and BI.  Amazon analytics-as-a-service is perfect for compute intensive scenarios in financial services like Credit Ratings, Fraud Models, Portfolio analysis, and VaR calculations.

The ultimate goal for Amazon in Analytics-as-a-Service is to provide unconstrained tools for unconstrained growth. What is interesting is that an architecture of mixing commercial off-the-shelf packages with core Amazon services is also possible.

 

The Power of Amazon’s Analytics-as-a-Service

So what does the future hold?  The market in predictive analytics is shifting.  It is moving from “Data-at-Rest” to “Data-in-motion” Analytics.

The service infrastructure to do “data-in-motion” analytics is pretty complicated to setup and execute.  The complexity ranges from the core (e.g., analytics and query optimization), to the practical (e.g., horizontal scaling), to the mundane (e.g., backup and recovery).  Doing all these well while insulating the end-user is where Amazon.com will be most dominant.

 

Data in motion analytics

Data “in motion” analytics is the analysis of data before it has come to rest on a hard drive or other storage medium. Due to the vast amount of data being collected today, it is often not feasible to store the data first before analyzing it. In addition, even if you have the space to store the data first, additional time is required to store and then analyze. This time delay is often not acceptable in some use cases.

 

Data at rest analytics

Due to the vast amounts of data stored, technology is needed to sift through it, make sense of it, and draw conclusions from it. Much data is stored in relational or OLAP stores. But, more data today is not stored in a structured manner. With the explosive growth of unstructured data, technology is required to provide analytics on relational, non-relational, structured, and unstructured data sources.

Now Amazon AWS is not the only show in town attempting to provide analytics-as-a-service.  Competitors like Google BigQuery, a managed data analytics service in the cloud is aimed at analyzing big sets of data… one can run query analysis on big data sets — 5 to ten terabytes — and get a response back pretty quickly, in a matter of seconds, ten to twenty seconds. That’s pretty useful when you just want a standardized self-service machine learning service. How is BigQuery used? Claritic has built an application for game developers to gather real-time insights into gaming behavior. Another firm, Crystalloids, built an application to help a resort network “analyze customer reservations, optimize marketing and maximize revenue.” (THINKstrategies’ Cloud Analytics Summit in April, Ju-kay Kwek, product manager for Google’s cloud platform).

 

Bottom-line and Takeaways

Analytics is moving from the domain of departments to the enterprise level.   As the demand for analytics grows rapidly the CIOs and IT organizations are going to be under increasing pressure to deliver.  It will be especially interesting to watch how companies that have outsourced and offshored extensively (50+%) to Infosys, TCS, IBM,  Wipro, Cognizant, Accenture, HP, CapGemini and others will adapt and leverage their partners to deliver analytics innovation.

At the enterprise level a shared utility model is the right operating model.  But given the multiple BI projects already in progress and vendor stacks in place (sunk cost and effort); it is going to be extraordinarily difficult in most large corporations to rip-and-replace.  They will instead take a conservative and incremental integrate-and-enhance-what-we-have approach which will put them at a disadvantage. Users will increasingly complain that IT is not able to deliver what innovators like Amazon Web Services are providing.

Amazon’s analytics-as-a-service platform strategy shows exactly where the enterprise analytics marketplace is moving to or needs to go. But most IT groups are going to struggle to implement this trajectory without some strong leadership support, experimentation and program management. We expect this enterprise analytics transformation trend will take a decade to play out (innovation to maturity cycle).

Shirish Netke

Techaisle’s SMB Cloud Adoption survey shows that SMBs that are using Cloud applications are experiencing tremendous improvement in customer acquisition, retention and work satisfaction. In fact, 1 in 4 SMBs say that customer retention has improved, and nearly 1 in 3 says that customer acquisition has improved.

In general SMBs have experienced improved customer acquisition and retention after using cloud applications, however, SBs (1-99 employees) and MBs (100-999 employees) differ. Typically, SBs are more hard-pressed to acquire customers, a top business issue for them. With the adoption of cloud, 32 percent SBs say that they have seen improvement. MBs on the other hand, have better direct sales force for customer acquisition, but after equipping the sales force and marketing with cloud applications they have seen marked improvement in customer retention. Additionally, an important point to note is that 29 percent of SBs have reported improved group productivity and 34 percent improved employee satisfaction.

The survey also showed that B2C and B2B SMBs have had different experiences in customer acquisition and retention.  Specifically, B2B SMBs have reported nearly twice as high improved experiences as B2C SMBs. Many B2C SMBs are using social media platforms such as Facebook and twitter and marketing automation solutions to build a set of followers to improve their customer retention and acquisition. On the other hand, comparatively higher percentage of B2B SMBs are using LinkedIn, Twitter and specialized platforms such as Chatter, Yammer and GageIn to track news and conversations with their customersaction.

CRM has become the central application and the core around which other features and functionality are deployed as required by an SMB organization, department within an SMB or an individual user within the SMB. CRM is that core cloud business application. After the SMB CRM base has been built (or simultaneously), the order of implementation depends on the SMB’s focus but is likely to be business intelligence, marketing automation, Financials, HR/Payroll, customer service for service companies, ERP, fulfillment (SCM) and industry vertical applications.

There are four key areas of SMB cloud usage and deployment. Each has got many sub-sets of applications. These four areas are:

1. Infrastructure and Platforms (US$13.0 Billion SMB Opportunity by 2016)


2. Communications and Collaboration (US$7.9 Billion SMB Opportunity by 2016)


3. Business productivity & Applications (US$15.5 Billion SMB Opportunity by 2016)


4. Industry specific applications ((US$2.7 Billion SMB Opportunity by 2016)

While there are many niche vendors addressing each niche area, the complexity grows manifold as businesses move from one application to another, from one device to multiple devices. As Cloud computing adoption among SMBs grows, the real issue of data integration continues to come into play and it will become imperative for each of the four areas to communicate with the other. And once that “integration enlightenment” happens SMBs will witness even higher improvements in productivity, satisfaction, acquisition and retention.

Anurag Agrawal
Techaisle

Announcement

Cisco has announced a new Cloud and Managed Services Program (CMSP) that integrates its currently existing Cloud Provider, Cloud Services and Managed Services Channel Programs (MSCP) into one. Besides streamlining incentives, discounts and payments for its partners, the program also aims to simplify pricing for Cisco-based cloud and managed services offerings. The program will also enable collaboration and sharing of complementary opportunities between partners through a microsite via Cisco’s partner portal. All partners are expected to transition to the CMSP by August 2013.

Techaisle Take

We believe that with one master move Cisco is strategically addressing the US$94 billion global SMB opportunity by 2016.

Techaisle’s global channel surveys have shown that Cloud, Mobility, and Managed Services Solutions together are changing the SMB channel landscape as these solutions are revolutionizing IT utilization by SMBs. The new paradigm would be the "3-in-1" Channels offering Mobility, Cloud, and Managed Services as a single offering. We first wrote about the 3-in-1 channel here. And now Virtualization is quickly becoming a potent arsenal in the SMB channel partners offerings.

Techaisle’s corresponding SMB research has consistently shown that SMBs want mostly integrated solutions to limit complexity and therefore seek partners that are capable of such deliverables but very few partners currently do so as they are all camped in either one or two solution corners and few seem to embrace a holistic solution view - and this is making SMBs unsure of overall benefits and desire to spend.

With its current announcement Cisco is removing some of the barriers by bringing channel partners serving managed services and cloud needs of SMBs under a common cluster. Since many SMBs want to obtain all services from a single provider, it is important for broad product/solution vendors to evaluate all their partners, seek and cluster partners based on where they are with regards to capabilities of delivering complete solutions and introduce programs to support development. As the dividing line between cloud and managed services is becoming thin, Cisco has just done it, that is, created a single program that should:

• Enable channels to build more dynamic and serious partner-to-partner collaboration to collectively address complementary opportunities


• Enable Cisco partners to add capabilities, such as, managed services to an existing cloud services


• Attract newer partners to join Cisco program


• Help current channel partners qualify and move up Cisco’s channel partner pyramid

The data on the right from Techaisle’s channel study (N=2851) shows that channels that serve the SMB segment are keen to offer multiple services that straddle cloud and managed services. Cisco’s new program should open up opportunity for its channel partners to offer both cloud and managed services using Cisco platforms.

If we look at the survey data at micro-level, we find that is a higher percentage of Channel Partners that are offering some type of Managed Services Solutions than they are offering Mobility Solutions or even Cloud Computing. The channels falling in the green columns will benefit immediately, those in the blue columns will find the program attractive but those within the red columns in the chart would be of immense importance.

It is clear that Managed Services has been the most important offering for Channel Partners, as they evolved from a typical value added channel to offering break-fix services and remote managed services.



The path being chosen by Channels to move from one offering to the next is strongly dependent upon their current offering. Those that are in the mobility space are moving to cloud, while those in the cloud are moving to managed services.

Understanding the channel dynamics and current offerings gives clues in the direction they will move. For those that are offering only one of the services there is a clear path to adding services. In fact Techaisle survey shows that the channels have chosen their path of selection.

Channels are also interested in offering mobility solutions, however, it is also clear that mobility has become possible due to cloud and managed services allowing employees to work from anywhere, anytime and from any device.

 

The responsibility now lies with both the channel partners and Cisco to make the program a success. However, there some other steps that Cisco needs to take as well.

• Extend the reach of its Smart Care to cover cloud based services


• Develop capabilities that not only work with Cisco's networking devices but also with client devices. Although it must be said that Cisco is addressing some of those needs through its partnerships with other vendors


• Further the agenda on not only BYOD but also just BYO


• Market the program aggressively. Channel partners are being courted and trained by many other vendors


• Use the program to establish a strong presence in the datacenter space

With the latest move, Cisco may have begun to shift the tide in its favor more decisively.

Anurag Agrawal
Techaisle

Symnatec just announced its Endpoint Protection Small Business Edition 2013 which effectively moves Symantec's flagship security solution for SMBs to the cloud. The solution has an on-premise solution as well giving SMBs the flexibility to start with an on-premise solution or use directly a cloud-based solution with no additional hardware requirements and no special IT staff or training needed.

Techaisle Take
In the SMB space, the trend is definitely moving to the cloud, with SMBs reporting growth in the average number of cloud applications rising from 2 in 2010, to 4.3 last year and expected to hit over 7 this year. Symantec has seen flat revenue in a growing market and needs to take advantage of this trend in cloud services. Security is among the most widely deployed cloud application (~60% of Cloud Users).  Symantec has a very broad portfolio of products and despite a management shakeup and unwanted attention from hactivists; they have been able to maintain stability over the past few years. Having said that, there is always some uncertainty when migrating from one architecture to the next; it will be very important to maintain a solid opportunity for channel partners and they will have to execute well as they make this move.

Symantec needs to ensure that their channel partners are well trained in the difference between between the 2013 cloud edition and the 12.1 on-premise version to avoid any SMB marketplace confusion. Symantec also needs to make sure that their marketing campaigns present the choice of offers as a benefit rather than a hard decision; there are benefits to both cloud and on-premises versions depending on the SMB customer need. We have found that there is a gap in demand from channel partners for cloud security services based on what they are hearing from their SMB customers – Vertical Applications, Security and Storage and Backup solutions top the list of requested applications.

All software companies are wrestling with or implementing cloud services strategies. After Cloud Security, which is a strategic imperative for Symantec, the largest opportunities within Cloud Infrastructure are in Remote Storage & Backup services, unless they step far outside their core business. SMBs recently reported that although their business priorities have remained fairly constant, 77% want vendors to reduce complexity in IT so they can focus on business and customers. It seems Symantec wants to enable that by offering both (all) their services through a common interface which is delivered through the channel and allows remote management of both On-Premises installed base and Cloud versions. If they can do this successfully, it should be a win for both small businesses and channel partners.  Even so, the devil is in the detail, and if they fail to bring both of these to the market successfully they risk losing credibility in their core security market.

Anurag Agrawal