Accenture’s Tech Vision 2014 and Business Intelligence

Today, Accenture held a presentation for alumni (I worked for Andersen Consulting in the late 1990s) to present its Tech Vision 2014. The subtitle for their report is “Every Business is a Digital Business.” That mean the focus should be on what business wants from technology, the business drivers pushing technology forward. As with most, very smart technologists, the Accenture team’s focus was a key shift and was what technology can do for business. It was focused on technology, backed up by a few business examples.

So how does Business Intelligence stack up in Accenture’s eyes? The answer was simple: It was hidden and scattered across the trends. It’s clear that the categories were created by some very smart technology people and that business took second place.

Of the six trends, the obvious place to discuss BI was in the third, “Data Supply Chain.” Yet the presenter focused that segment on grabbing data and API management, the technical portions, and mentioned analytics in a few seconds towards the end.

On their mini-site (link above), there was an additional presentation by CTO Paul Dougherty. One key phrase caught my ears: “Enterprise and unstructured data.” That’s a technologist’s view of enterprise, not a business manager’s view. He views “enterprise data” as only that data which comes from “enterprise software” such as ERP, CRM and SFA. That’s not a distinction business management makes and not one that should be spoken to the business audience.

BI was also briefly mentioned in the Business of Applications trend, in the mobile section but, again, only briefly. The final trend, Architecting for Resilience also mentioned key items critical to business intelligence, those of performance and cyber security. Sadly, no mention of how important those were for reactiveness to the business environment and protection of intellectual property and business critical information.

It was a very good presentation from the technical side, if they consider their audience to be only IT people and ISV’s working on point solutions. However, if they expect to interest business decision makers they have to focus less on how cool technology might help some parts of business and more on what are the business needs driving technological decisions.

Analysts understanding trends in large data volumes is important to business. I contend that how management views those trends, makes decisions and evaluates changes is even more important. A key trend for any company should be how business management better understands the challenges facing business and whether or not they’re addressing those challenges. That’s the heart of BI.

 

 

Leads aren’t enough: How BI can help SFA & CRM

The refrain I constantly hear from both corporate marketing and sales is “more leads!” They seem to think that lead generation should be a KPI for marketing success. I beg to differ.

As someone who has spent years in product marketing, my view is that lead tracking is only the beginning of the job. People talk about “lead quality.” When they define the term, they typically talk about the number of leads needed to close X dollars of sales. However, that’s discussing two end points without discussing the journey. There is basic benefit to that, such as understanding you have enough leads to close quote for one product so you can shift lead generation spending to another product line (or to other marketing tasks when the leads meet near term for all sales), it’s not sufficient for increasing pipeline effectiveness.

B2B sales are complex. They aren’t instant and they involve many stakeholders in multiple organizations within a prospect’s firm. To hand over leads and then discuss close rates is akin to the classic Sidney Harris cartoon with the magical formula on the blackboard.

Sales force automation (SFA) systems typical track sales through a pipeline with something such as a percentage estimate of close. Customer resource management (CRM) systems track individual contacts at companies. However, I’ve never seen the systems linked in such a way to track what contacts happen where in the pipeline and link collateral and messaging used in each step.

That information would help fine tune how well sales and marketing work to close a prospect. If you’re losing 40% of your prospects at a specific point in the sales cycle and feedback shows there’s information missing or some other issue, marketing and sales can focus messaging for that step in the process.

I’ve yet to see SFA and CRM systems work in concert to clearly provide such information, so an opportunity exists for business intelligence (BI). Both ISV’s and SI’s have the ability to work with those systems and provide dashboards to help collect information from both organizations and present in a clearer format, linking pipeline and contact information to build a clearer picture of messaging and tools used throughout the sales cycle.

Eventually, SFA and CRM systems will provide their own links as they move back to the original concept of single systems from the early days and companies such as I worked with in the 1990s, but if BI companies get a jump, their solutions can be incorporated in an OEM fashion and can be extended. There’s a window of opportunity for BI vendors to help improve a critical aspect of the sales/marketing relationship.

BI: Expert Systems and Knowledge Engines. You say potato…

When I studied artificial intelligence (AI) in the mid-1980s, an argument was raging about whether or not it could ever be solved. That argument continues to occur, but it’s intriguing to understand why. It’s not that we have made no progress, it’s about the real, underlying definition of what we think of as AI. If both academics and practitioners were honest, they’d admit that the definition of AI is “Getting machines to do the rest of what we call human intelligence that we haven’t yet figured out how to do with machines.” Notice that it’s a negative definition, AI is what we still don’t know. Therefore, until we have AI it’s always unsolved.

Vision, robotics and other full-fledged disciplines were considered AI in the early days. When we understood the problems well enough to solve chunk or at least to investigate them as specific units of study, they became their own area. What was left was still AI, the “unsolvable problem.”

I bring this up because my area of interest in AI was expert systems. I had the honor of working on a project under Bruce Buchannan, one of the creators of Dendral and MYCIN (two of the earliest expert systems). It was a business application of expert systems, using rules to get a computer to plan and budget. Working to get the professor’s brain onto the white board is was what made me realize I wanted to be on the business side of computing rather than the computing side of business.

Expert systems as a whole were oversold, and earned a bad reputation. So, just as rap became hip hop, other terms were used. Today we talk about “rule based systems,” “knowledge systems” and other similar techniques to help analyze Big Data. Companies talk about “intelligent agents” for customer support and prospect advice. There are a plethora of terms to describe what are, essentially, expert systems.

Why does that matter? While we might be able to solve new problems in business, adding significant value to software, most of what we do is evolutionary rather than revolutionary. That’s a good thing, as IT and most of the mass market want to know that they can add new capabilities without having to spend time, money and mental anguish over “transforming your organization!”

When looking at  the new techniques for better understanding data, for predictive analysis and for other areas of business applications, know that knowledge systems have a long and strong history, regardless of a founder’s or a marketing organization’s addiction to a revolutionary message. Spend time to see if the vendor sees past his revolutionary message to the evolutionary solution needed by most firms.

Sales and Marketing, a Symbiosis

Sales and marketing often have a very complex relationship. Too often, companies take one of the two extremist positions in relating the two organizations: Either marketing is just an adjunct of sales or it is somehow almost completely distinct and involved in the “bigger issues” of branding and other longer term goals. As someone who has a broad background working in different departments within business, I have a more holistic approach.

Marketing and sales must work together, they are closely tied but still separate entities. On one side, it’s critical to ensure the tools exist to close sales. The sales force is right to demand messaging and material and it’s critical for all of marketing, not just product and events marketing, to understand the pressures upon a sales force.

At the same time, marketing must be positioning the company past the individual sale, for mid- and longer term imaging of the company. Those messages must be clear. The first issue on that side is that means getting the executives to agree upon a vision for the firm. There must be CxO buy-in as to messaging and positioning. This especially matters in the SMB software company, since the founders are usually very active in sales, discussions with analysts (both market an financial) and other external groups. If they’re saying different things, the market gets confused. The key challenge for marketing on that front is convincing the founders that a new message may be needed and to stick to it. I’ll focus a bit more on that challenge in later blogs.

Those are high level concepts that many have seen, but how does the rubber hit the road? The product marketing manager, or the “marketing person” in a small company, must be able to help sales understand the balance between individual sales and corporate goals. In an early stage company, there’s not really a difference. Each sale is critical to survival and the product can change drastically to help close. However, at some point the company has to address the larger market, then things change.

I have an example from one company that was in the transition. The previous year it earned around $15 million in revenue. Analysts were expecting a hockey stick revenue gain for $100 million in the current year. I had one sales person come to me in a rush, saying “I need feature X added into the product and I can close a $1 million dollar sale!” They’d closed their first one million deal the previous year and it meant a lot to the sales force. Telling him a simple no and pointing out that we have a market to address isn’t enough. Neither is acting as if the company is smaller and rushing to change product.

I responded, asking him how much analysts expected us to make this year (and sales always knows). I then pointed out that the deal was only 1% of expectations. I asked him to see how many other prospects wanted the same feature and sent out an email to the sales force to see if it was popping up elsewhere. I explained that if we could, again, get to a pipeline of 5% I could check with development about tradeoffs with other features the market wanted. At the same time, I worked to give him information to provide the prospect with a workaround and words to help him communicate where we were going with products.

It ends up there weren’t other people who “required” it and that the workarounds were good enough to close the deal with the prospect. I was able to address both the short term sales needs and the corporate goal of addressing a wider market. Neither one exists on its own, there’s a sliding scale.

Marketing is about communications, all types. Sales is a critical channel of communications and it’s what pays the bills. The wars between the two groups do a disservice to both. It’s a symbiotic relationship.

 

Software and BI, Repeating History

One of the books I’m reading is “The Age of Edison” by Ernest Freeberg. It describes the great technology transition of the late 1800s and early 1900s. I’m only to chapter three but on pages 60-61 there’s something that drives this blog post. The author quotes someone in Electric World (March 31, 1888) humorously describing the typical electric company sales pitch: “There are two kinds of electric lights, namely, our kind and the other fellow’s kind. Our light is much better than the other fellow’s light. The other fellow’s light is surrounded by a cloud of non-luminous verbosity.”

George Santayana said that “Those who cannot remember the past are condemned to repeat it.” I’ll modify that. It’s necessary to remember, but not sufficient. You also need to learn from it. It’s one thing to note other people’s mistakes but another to have the self-reflection to notice you making those same mistakes.

The software industry is replete with those who think their new product is completely different than all others. How many times have you asked a founder or early sales person about their firm’s competition and received the answer “we have no competition!” Right…

Firms always have advantages, but every product has disadvantages too. It’s knowing the two and dealing with them appropriately that makes your messages stronger. The task is to minimize your non-luminous verbosity and help your market clearly understand the value you provide to them.

Remember history, minimize the marketspeil.

Software marketing: Understanding business and technology

Welcome to my web site. This first post is to introduce myself a bit more than a short About page can do. As that page mentioned, I’m David Teich and have over thirty years of experience in enterprise software with a focus on marketing. What makes me different from most others who have the same years of work? Breadth. I am a true generalist able to take a broad range of high technology experience to bear on your issues. I see the forest, not the trees.

I began my career as a computer operator, and moved through programming, systems analysis, consulting, and sales engineering and into marketing by the mid-1990s. I can work with people in all areas of business to understand their skills and needs in order to synthesize a solution that incorporates an understanding of your business, technologies and markets to create messages to attract the varied stakeholders in a complex modern sales cycle.

It’s not just the depth and breadth of my work experience that serve as a foundation for supporting your needs. I earned my undergraduate from Texas A&M University in the second year of their business computing degree program. I went to Stanford to earn my MS in computer science because I was interested in expert systems to solve business problems. My MBA from Pepperdine University is in marketing.

Consulting? That experience goes back a long way. Teich Communications is the name my parents had for their public relations firm and in which I was first exposed to proofreading, printers, consulting and more. I’ve decided to keep that name because marketing, whether strategic or tactical, is all about communications. I consulted a few times in Silicon Valley and spent six years consulting in Israel.

Today’s software environment is global. In addition to having worked with international markets at US companies, I have lived and worked abroad. That overseas experience strengthens my ability to understand the needs of different markets and global corporations.

I understand both how enterprises make software decisions and how enterprise software works. I can help small to mid-sized software firms better focus marketing to address solutions. Whether you need help understanding strategic aims and positioning or you need basic collateral that attracts specific stakeholders, I can help you improve your communications.