Techaisle Blog

December has traditionally served as the occasion for the publication of New Year forecasts. It’s understandable that we want to look ahead to the sources of opportunity that lie ahead. But in the business world, December also marks the beginning of the review season. And while detailed forecasts focus on the next twelve months, the planning horizon needs to look a little further, so that tactics provide support for business strategies, rather than simply delivering a series of course adjustments.

This is a two part blog article. The first part, below, reviews the predictions we made for 2015. Second part will focus on outlook for 2016 and for the longer term.

A look back – what was it we said was right around the corner, again?

Here are the issues we highlighted, “Ten predictions for 2015 – and five issues to keep an eye on for 2016 and beyond” and how we think we did in our prognostication.

The Top 10 for 2015

1. Hybrid arrives – not as a strategy but as the result of many discrete decisions

With the benefit of today’s perspective, we might fairly say that in 2015 and for several more years to come, a more apt description of hybrid is journey rather than destination. Digging into the detail, though, we believe our prediction that “an ability to manage hybrid infrastructure will become a key corporate IT requirement in 2015” has been borne out by the focus on tools and strategies (ranging from Docker to Agile) that we saw throughout the year. In Techaisle’ SMB Cloud adoption studies, there was a sense of growing ubiquity in the usage and plans for private, hybrid and public cloud. Use of hybrid cloud continued to increase as both a conscious strategy and as a reaction to use of both public and private resources within a single infrastructure; by the end of 2015, two-thirds of companies with 100-999 employees were using hybrid models.

2. Collaboration becomes a much bigger concept

In 2015, collaboration began to expand beyond file-sharing to become a necessary tool for driving decision-based agility, fostering innovation and extending customer intimacy. Collaboration is a process rather than a discrete outcome. Our key notion that collaboration “extends beyond the corporate staff (and as a result, beyond large enterprises) to include customers” clearly did reflect strategies and investments in 2015. Within the SMB segment collaboration is increasingly becoming a central component to virtually all business activities rather than a means to enable connections between discrete tasks. Other changes in this area will further reshape collaboration, but you’ll need to refer to the “forecast” part of the blog for that discussion.

3. Collabmobilicloud becomes a management reality

The core concept explained that despite vendor tendency towards defining collaboration, mobility and cloud as separate domains, both enterprise and SMB users have started viewing them as integrated components of business solutions. The user belief that collaboration, mobility and cloud should all be attributes of modern applications has become clearer, and even suppliers are starting to recognize the importance of an integrated collabmobilcloud approach.

Wall Street Journal carried an article on how regulatory burdens had made community banks “too small to succeed” despite performing better than larger banks regardless of being better capitalized and having lower default rates.

The advent of cloud technologies has the potential to change WSJ’s dire prognosis.

Cloud may have first been introduced as a means of reducing CAPEX and/or overall IT costs, but today, it is viewed by small and midmarket businesses as a means of increasing business agility and of introducing capabilities that would have been cost or time-prohibitive to deploy on traditional technology. Complementary to cloud, big data analytics presents the possibilities of connecting together a variety of data sets from disconnected sources to produce business insights whether for increasing sales, improving products or detecting fraud. SMB banks are a specific segment of SMBs who can derive the benefits of customer insight while meeting their mandatory regulatory requirements.

Techaisle classifies SMB banks as those below $10B in assets and medium sized banks as those between $10-100B in assets. SMB banks below $10B in assets often called “community banks” play a very important role in the ecosystem of SMB businesses. Although FDIC, OCC and FRB have different definitions of community banks, it is important to note that these smaller banks not only accounted for nearly half of the total of about $600B outstanding small business loans at the end of 2014 but also play a disproportionately major role in the $1.8 trillion residential mortgage origination market.

Unlike large banks, SMB banks are characterized by George Bailey in “It’s a Wonderful Life”. These banks usually have keen insights on their customers based on personal relationships and carry a tremendous amount of tribal knowledge about their customers which they use to make business decisions. While this corpus of knowledge may not be codified it does make a difference in their business operations. But is that enough in today’s hyper-competitive economy where the relationship is being increasingly controlled and dictated by customers?

Then there is another question, are these smaller banks doing enough to detect fraud? High-risk businesses that have been denied services by large banks tend to move their business to smaller banks who are less equipped to analyze these risks. These smaller banks are unknowingly exposing themselves to fraud as well as compliance risk. Regulations are agnostic to bank size and equally unforgiving of SMB banks as they are of large banks. A cloud-based analytics solution may just be the recipe for success for the smaller banks. In fact, these banks are no different than midmarket businesses (or even small businesses) in their objectives of adopting big data.

Monitoring, analyzing and reporting very large volumes of data are typically the largest components of regulatory costs for SMB banks. Many often use antiquated technology and manual processes to manage their compliance requirements. Banks that are able to automate the process of managing data for regulatory requirements can have the added benefit of getting a unique view of their customers through one single technology solution.

According to Shirish Netke CEO, Amberoon, a provider of Big Data solutions for banks, “A lot of the data that is required for regulatory compliance can also be easily parlayed into getting insights on the banks customers and improving business”. Amberoon has built a banking solution for SMB banks provisioned on the IBM SoftLayer cloud.

Security & privacy (especially FFIEC requirements), traditional inhibitors of cloud adoption, are a legitimate concern for banks. After all, banks are the custodians of individual’s money, facilitators of trade and commerce and life-line of businesses. However, it may be argued that these inhibitors have already been successfully addressed by service bureaus. A very large percent of SMB banks outsource their core banking system to service providers such as Fiserv and FIS Global who have built very large scalable service bureaus with the economies of scale afforded by centralizing technology resources.

Aptly put by Noor Menai, CEO of CTBC Bank. “Outsourced technology services are nothing new in the banking industry. There is a compelling reason to use big data technologies in banks if they are available at an affordable cost in a secure manner. Cloud has the potential to provide both”.

Big data analytics in the cloud can be an execution advantage, and may even propel the SMB banks to leap ahead of larger banks on solutions that address both regulatory necessities as well as gain competitive edge from customer analytics. Historically, Siebel, an on-premise solution, was usually deployed in large enterprises and was out of reach for smaller businesses. Salesforce, a cloud solution, changed the perception, adoption, usage, affordability and provided immediate business outcomes. Today Salesforce is used by both SMBs as well as large enterprises.

Combining the benefits of cloud with the advantages of big data analytics may just be the prescription that SMB banks need for business growth (cross-selling, upselling services), meeting regulatory requirements such as KYC/AML/BSA and deep-diving into fraud detection.

One should also not forget that big data implementations require a unique combination of technical, operational and business skills to be used in a sustained manner. Needless to say, these skills are in short-supply but affordable by deep-pocketed larger banks. While some smaller banks including community banks can spend the money to experiment with big data pilots, they do not have the capacity to go through expensive iterations to get it right. While larger banks have the luxury of choosing between on-premise big data versus cloud big data, for smaller banks the choice could very well be between either doing big data on the cloud or perhaps not doing it at all. The remaining question therefore is – which big data cloud supplier will take the lead in educating, evangelizing and then executing on the needs of SMB banks.

Techaisle’s quantitative study (survey of nearly 900 SMBs) on SMB & Midmarket Big Data Adoption and Trends shows that 7 percent of small businesses and 20 percent of midmarket businesses are currently using Big Data solutions and that another 17 percent & 38 percent respectively are planning to adopt within the 1-2 years. These businesses are looking at a big data solution from 3 perspectives:

“First, what are the organizational needs, second, what could be served as a solution and, third, what could be the best combination of the tools and technologies available today which will provide value add. Based on all one should decide on a solution because the Big Data space is very enormous and could be applied for any domain,” aptly quoted by CIO of a midmarket firm who has successfully implemented big data solutions in his organization.

Common findings that run through corresponding depth interviews (over 60 interviews conducted globally) conducted by Techaisle, Insights from the Trenches of SMB Big Data Implementers, are:

• PoC – more is better, timing is of essence
• Cost efficiencies of Hadoop, especially Cloudera
• Plethora of tools deployment – emergence of Spark and Flume
• On-premise only – now and the future
• Must conduct skills training and gap analysis
• Lessons learned – not to underestimate complexity but uniform voice – go for it

The promise of superior data-driven decision making is motivating 24 percent of US small businesses (1-99 employees) and 58 percent of midmarket businesses (100-999 employees) to invest in Big Data technology.

In addition, the possibility of analyzing a variety of data producing action-driven business insights is too big to ignore for midmarket businesses. This represents a sizable opportunity considering that the segment is relatively new, it requires a certain level of IT sophistication and a history in linear investment in information technology enablers to be successful.

Specifically, midmarket attitude towards big data has transitioned from “over-hype” to “must-have” technology with the increase in employee size. Only 11 percent of midmarket businesses consider big data to be an over hype suggesting that it has crossed the tipping point faster than similar sentiments for cloud adoption at its introduction. However, nearly one-fourth of lower mid-market businesses still consider it to be over-hyped yet 29 percent think that it will be an important part of their business decision making process.

Nevertheless, SMBs face many challenges in implementing big data solutions.

There are many different tactical objectives for deploying big data projects and SMBs are expecting some clear cut benefits from big data analytics such as increased sales, more efficient operations, and improved customer service.

CRM solutions had first established the analytics for analyzing customer data but the data was mostly two-way transactional data. This changed when customers began visiting business websites to explore, browse and perhaps make purchases thus leaving behind a trail of information. IT vendors and mid-market businesses figured out the need to analyze the data and combine it with transactional information.

However, everything changed with the onset of social media, blogs, forums and opinion platforms where the identification of false positives and negatives became difficult and knowledge about the customer and resulting segmentation became an inaccurate undertaking. Big data analytics presents the possibilities of connecting together a variety of data sets from disconnected sources to produce business insights whether for generating sales, improving products or detecting fraud. It is therefore not surprising that globally SMBs and midmarket businesses are turning towards big data analytics to analyze social media data, web data, customer and sales data along with click-stream machine generated data and even communications data in the form of emails, chat, voicemails.

Until a few years ago a set of scary questions used to be debated in many business board rooms. “Fire the CEO, CFO or SAP?” Nobody dared to fire SAP. Fast forward today, are we reaching the same set of questions with a difference - replacing SAP with Salesforce.com? Recent Dreamforce 2014, Salesforce.com’s annual gala event firmly established the company’s foothold in the industry and its increasing grip on the enterprise and businesses of all sizes. This year, there was also an increased focus on SMBs, a “back-to-the-roots” story, the backbone on which Salesforce.com launched its “no software” business but somewhere along the way lost sight of SMBs. But then Salesforce.com is no longer a software company, it is a platform company. Is the “no software” logo still valid? Is the company still suitable for SMBs?

The Best

Over the last three years, Salesforce.com has successfully added solutions to its portfolio and has checked off an important spoke in the SMB Wheel of CRM Productivity with business intelligence, one of key elements in the overall CRM productivity suite. Many of the other issues are addressed by the rich Salesforce.com partner ecosystem that connects via Force.com. Combined, these applications provide a 360 degree view of the sales and marketing process. Experience shows that as a software category matures, suite providers eventually win out against point product players. And Salesforce.com is winning.

 As Salesforce began its foray into the enterprise world, it seemed that it neglected its SMB market, which grew almost in spite of Salesforce’s lack of attention. However, from 2015 onwards, SFDC promises change as it is committing to doubling its investments in SMB education and driving growth. In fact, this year’s Dreamforce had nearly twice as many sessions for SMBs as in 2013.

Techaisle’s SMB segmentation, based on cloud and mobility adoption, finds that there are six major SMB segments:

1. Smart Investors
3. Growth Aspirers
4.  
5. Dynamic IT
6.  
7. Productivity-centric,
8.  
9. Innovation-Driven, and
10.  
11. Passive Followers

Of these, Dynamic SMBs, followed by Smart Investor SMBs, are most likely to benefit from CRM suites. 

The Good

The new Wave analytics platform, announced and demoed with fanfare at Dreamforce 2014, is one of the most important products to have been introduced by Salesforce.com recently. It gives some credence to Salesforce’s newly christened Analytical Cloud. But is it really that impressive beyond the flashy demo at Dreamforce 2014? Is it really analytics or a series of reports cleverly put together?

Let us set the context first. Business analytics is fast becoming an integral technology investment for an SMB organization, directly contributing to its revenue growth and reduction in operating costs by enabling informed decision making. Techaisle’s survey of SMBs across numerous countries shows that number of SMBs using one or more type of business intelligence is nearly doubling each year. Business Intelligence tools have matured and become more widely available through cloud-based services.  As a result, enterprise-grade ETL, analytics, reporting, collaboration, dashboards and other functionalities are now within affordable reach of SMBs.

We are also in a transformative time for mobility and thereby mobile business Intelligence. The move to mobile BI has largely up until now been accomplished by migrating existing functionality to a mobile environment by using new technologies on top of the old.  Companies such as Oracle, IBM and SAP are doing this through acquisition of smaller companies and integrating them into existing products. On the other hand, in a classic build vs. buy fashion, smaller companies, not hampered by existing architectural constraints are offering SaaS BI services and building new offers from scratch. Smaller BI vendors in many cases have gained a timing advantage, using native technology to bring existing mobile functionality to BI. Instead of simply providing mobile links to server data, these new products offer the rich, interactive capabilities, with the ability to use rich interactive screen manipulation, i.e., pinch and squeeze or geo-location awareness, as part of the data exploration and visualization experience. True mobile business intelligence includes ability to interact with data objects on the screen, such as filters, check-boxes, search, drill-down and drill-through to the record level and other interactive functions. Of course, being able to then use built-in device communications capabilities is also of importance once the information has been identified – SMS, email and Internet forms for dissemination of the information, as well as secure access to collaborative destinations.

Techaisle survey data also shows that the right information for SMBs centers on intelligence that helps them make sound financial decisions. This is reflected in the top three analytics areas reported by SMB respondents:

1. Financial analysis (47% of SMBs)
2. Sales tracking (44% of SMBs)
4. Business activity monitoring (43% of SMBs)

These findings show that SMBs are looking to analyze data that helps to manage DSO (Days Sales Outstanding, the core accounts receivable issue), maximize inventory turns, determine the return on marketing investment for a new route to market, and/or examine the potential lifetime value of a customer through various distribution channels. SMB business intelligence/analytics tools need to deliver across this set of expectations.

What Wave Analytics is not

Wave analytics is mobile business intelligence and not analytics. It can answer one question at a time, but can’t analyze a set of questions based on multi-dimensional data and queries allowing a small business executive to make informed decisions across multiple business factors. Wave analytics cloud offers some but not all of the above functionalities. And Wave’s capabilities are tied to Salesforce.com data unless an SMB is willing to invest in the customization needed to extend analysis across other data sets, thereby increasing TCO. And that is where the bad begins. As one SMB told Techaisle, “Business intelligence and analytics is big need for an SMB, but the platform must provide easy to build reports and dashboards capabilities. If you need to hire a developer for everything, we are back to square one”.

The Bad

To quote Marc Benioff’s tweet, “What skills do you need to find a job today? #5 Salesforce”, quoting an article in Infoworld. Is it SAP redux - was there not a complete industry that had popped up and thrived for SAP developers? In many cases, the level of complexity and cost of deploying Wave solutions, beyond parametric reporting, may be out of reach for many SMBs and may instead be more attractive in the enterprise segment.

Dashboards with ad hoc exploration and structured reports are becoming the ‘new normal’, empowering the SMBs to look at information within the right context depending upon the demands of the business. Right context is not just about driving new user experience, something that Salesforce.com has focused on; it is about driving new business models as well by increasing the value of business intelligence tool to the point where it informs and supports the creation of new SMB revenue models. There are some excellent examples of embedded analysis capabilities that allow very flexible use of KPIs by SMBs across all areas of their business, including creating and analyzing the impact of new KPIs on the fly. Out-of-the-box Wave analytics cloud falls short and does not adequately address SMB BI/analytics needs.

At the outset, the Wave analytics cloud looks like it is targeted towards dashboard-saturated executives who have not been exposed to new technologies. It looks great because it is on Salesforce.com platform and it is mobile. For a CEO, running a company means determining what he/she must track and what he/she can safely de-emphasize. For this, a CEO typically requires multiple dashboards delivering “what-if” analysis capabilities; these CEOs need the ability to generate KPIs quickly and easily, measure them and refine them with time. Keeping true to “no software” rule, there should be either no or very little customization required. It’s clear that Wave needs more IT involvement – and the Wave platform partners announced at Dreamforce were all ‘big names’ such as Accenture and Deloitte, which are not the typical developers for SMBs. The expectation that an SMB has programmers sitting around eager to extract, integrate, and develop dashboards to provide one view of the business is clearly mistaken – and it certainly stretches the limits of “no software” rule.

The Ugly – Have we seen this movie before?

Mark Twain said history does not repeat itself but it does rhyme. The evolution of Salesforce.com represents a remake of a movie and we are not sure it ends well for SMBs. SFDC, which was the SMB champion ten years ago, is starting to look like Napoleon from Orwell’s Animal Farm novel.

Marc Benioff’s Dreamforce keynotes always showcase large enterprise customers, and no SMBs. However, on the 2^nd day, in an SMB keynote by Tony Rodoni and Brian Millham there were three case studies of SMBs. However, all three were “born in the cloud” SMBs, not representative of over 90 percent of small businesses. Even Tony Rodoni, SVP of Small Business, Salesforce.com referred to high-growth, scalable small businesses (read startups) in Silicon Valley – again not representative of most of the world. Where have the real-world examples gone? One VP of information technology for an SMB aptly observed that, “SMB for them (SFDC) is always the next Facebook”.

In a Techaisle survey of 2155 SMBs (US, Canada, Germany) to understand cloud adoption, 42 percent mentioned that they are afraid of losing control of their data and another 31 percent said that they are fearful of vendor lock-in. These businesses worry about vendor control of data as they have neither the technical expertise nor the purchasing power to extricate themselves from supplier relationships if they experience difficulties. This concern extends to Salesforce: as the CIO of a financial services SMB said, “SFDC does not play nice when you have to import data from non-cloud solutions, and it is a challenge even with cloud applications.”

With Salesforce.com an SMB could experience both the fear factors – lock-in, loss of control on data - the concerns that are common to enterprise software suites. When software becomes a platform it develops a tendency to move over to the ‘dark side’: It unconsciously forces a lock-in, reduces the pace of innovation, limits price protection and restricts future proofing. SFDC SMB customers are already experiencing this; as one said, “They (SFDC) list per-month prices, but the contracts are executed in years’ terms”. Taken as a whole it flies in the face of everything that is cloud. Is it time for SMBs to find a new champion? And can they, or is the Salesforce grip already too tight? As a platform, Salesforce.com is like a runaway train, very difficult to stop by numerous point solution players.