Author Archives: David Teich

Co-opetition: A food industry example

I’m reading an AMA periodical and an article on Chipotle has a brilliant bit about co-opetition. In case you haven’t heard the term, it was popularized by the 1997 book of the same name. The concept is that complex markets see companies act as both competitors and partners depending on what’s happening.

The relevant section is when the author is describing that Chipotle wanted to only buy thigh meat from a vendor but that wasn’t economical for either company. “But it just so happened that Panera Bread used only chicken breast meat in its recipes, so Chipotle approached its competitor with the idea of working together to more economically source all-natural chicken meat for both restaurant chains. Previously, Bell & Evans mostly supplied high-end restaurants willing to pay a significant price premium. With the Chipotle/Panera cooperation, new economies emerged that didn’t exist before, allowing fast-casual chains to afford to purchase the naturally raised meat and still be profitable.

Chipotle’s management wasn’t scared about contacting a competitor with a suggestion that would help both companies. That’s good management.

Salesforce, BI, analytics and Birst

This is the third and final blog in my series about last week’s Salesforce1 event in Philadelphia.

I’ve discussed the growth of the Salesforce ecosystem and how the company is bringing back the integration because SFA, CRM and help desks to ensure customer facing systems work together. They also have partners with applications such as accounting, quoting and other add-ons to the full process. The final big issue is how that needs to change reporting.

It’s easy to create charts and desktops for single applications focused on a department or function. That’s not why business intelligence exists. Upper management needs to better understand how their organizations are performing, and that means analyzing information that comes from multiple systems. BI’s goal is to provide actionable information about the business. That’s why it grew alongside data warehouses that gathered information from disparate systems. Now that Salesforce is clearly creating an integrated environment, are their analytics growing apace? Sadly, no.

“Analytics Unleashed” was the key session that interested me above all others. However, to paraphrase Gertrude Stein, there wasn’t much there there. It looked like simple reports slapped into basic dashboards with no real drill down or data discovery capability. Admittedly, the major part of their demonstration didn’t work and it might have been in that, but I didn’t see anything on in the exhibit hall to make me think there was.

Well, not from Salesforce directly, but don’t be without hope. I’ve talked about the ecosystem they’ve clearly built with Salesforce1, and that comes with advantages. One of those advantages is Birst, a business intelligence firm.

Birst is a Salesforce partner who, unlike a number of other partners at the road show, isn’t exclusively focused on Salesforce. They are in the new generation of BI firms who are working to modernize the market. They work to eliminate the need to have separate ETL and BI vendors, providing a platform to integrate that then directly supports leading edge analytics capabilities.

That ability combines with a SaaS architecture to allow Birst to work well with Salesforce1. I talked with them at their stand and the integration seemed clean from a UI standpoint. I’d have to dig deeper to understand how well Birst helps Salesforce integrate with other systems, but things look hopeful.

Salesforce seems to be viewing BI the same way as the other large companies. Even with their more modern history, advanced SaaS architecture and appropriately Web nimble interfaces, Salesforce still thinks of analytics as reporting. If “we” get all applications under our control, we just extend our reporting. That’s not BI. Analytics is a more advanced way of providing better information for decision making.

At some point, I’m sure Salesforce will come to that understanding, and then who knows what will happen. Until then, Salesforce customers can still access the next generation of BI and analytics through the ecosystem that allows Salesforce and Birst to work in concert.

Salesforce1 and “The Internet of Customers”

This is the second part of a series on the Salesforce1 road show held in Philadelphia on March 6, 2014.

One key point repeated throughout the road show event was that behind every device in The Internet of Things is a customer. Good point. The question is if Salesforce is beginning to truly address that and not just prospects.

In the early 1990s, I worked at Aurum Software, one of the companies that created the market. In those days, all the companies, Scopus, Vantive and a few others were trying to address the full customer interface. We had a single database and built early SFA, CRM and customer support applications on top of the database. Unfortunately, neither the hardware or software allowed for both quick development and the number of users supported from all the branches. In addition, since the areas were all pretty new, most prospects wanted to start with one of the three applications. That caused the three branches to split up and they’ve been separate for most of the last twenty years.

Salesforce is one of the companies working to bring it all together again. As one of the oldest and most successful of the SaaS companies, they’ve been focused on the power of the cloud and how to expand. In the road show, they did a good job of showing SFA, CRM and customer support applications working in concert to benefit companies wanting to understand the true picture of their interactions with their customers.

The company has acquired ExactTarget and Pardot to provide the confusing pair of automated marketing and marketing automation. ExactTarget provides list management, schedule and automated distribution of emails (automated marketing). Pardot helps marketing manage campaigns and lead through those campaigns (marketing automation). I was very impressed by both the Pardot software and team. The software works well on its own and has tight integration with Salesforce SFA, though there’s still work to do in order to show good closed-loop reporting.

On the support side, Salesforce advertises their Service Cloud, supposedly powered by Desk.com. I’m not as impressed by this as I am the CRM, but the strategy is in place. In addition, having designed for the internet, SaaS has a good partner ecosystem with a number of products and SI’s at the roadshow to help add service to the other customer facing systems.

The technology is finally in place to build integrated systems that can give management a view of all their customer interactions, and Salesforce has the strategy in place to achieve that. However, as they’ve been focused on acquiring the pieces and building the integration, the one piece still missing is true business intelligence, and that will be the focus of my next post.

Salesforce1 Road Show: Overall impression

Yesterday I attended the Saleforce.com event in Philadelphia, a road show for Salesforce1. Over the next week, I’ll cover some specific topics of interest from the event, but this post is only an overview of my general impressions.

Salesforce1 is presented officially as their new platform. As they say, “One Customer Platform to Connect Everything.”  It’s their product, so the key messages have to focus on them, but the underlying message was even stronger.

While again and again they explicitly bragged about how the platform was great for mobile, and sometimes you might have gotten the impression that that was the only reason for the new platform, there was an implicit message that ran through the event.

Saleforce began as a simple sales system aimed at SMB. It allowed only minor customizations and was very attractive to companies that just needed something that worked rather than something that reflected a large company’s unique selling practices. That was intentional and brilliant for two reasons. First, the SMB market was vastly underserved, with the existing SFA companies focused in enterprise. Second, it was the best way to build a SaaS business.

As the company grew, it became clear that the decision wasn’t tactical but rather it was very strategic. Saleforce worked very hard to expand past that start. SaaS matured, hardware and software became faster, more was possible. The company began expanding its offerings to provide customization and features needed for enterprise.

At the same time they worked with many companies in partnerships, as is the norm in our industry. While they have acquired many companies, such as ExactTarget and Pardot, they continue to work with other partners.

Every enterprise software company wants to brag about partnerships, but often their user conferences and roadshows are all about them in the corporate presentations, with only an exhibit hall or a couple of presentations focused on the ecosystem.

The road show, while based on the Salesforce1 platform, was all the more powerful because it avoided that wall. Every presentation I saw not only talked about Salesforce1 but gave examples of both acquired companies and partner solutions working within the Salesforce1 environment. Salesforce is pushing an ecosystem, not just a platform. That’s a powerful business message and it was done very well.

SFA & CRM for BI: Sales and Marketing redux

A few weeks back, I blogged about the necessity for sales and marketing to work in a symbiosis rather than a power struggle. This post is about what that means for SFA and CRM.

In the early 1990s, I worked at a startup named Aurum Software. It was one of the first companies to provide CRM solutions. On a humorous tangent, I’m happy CRM won. Our founder came from the ERP space and he had us call the solution Customer Resource Planning no matter how many times we told him CRP just wasn’t as polite an acronym as competition’s CRM.

One of the keys to the early success of Aurum and its competitors is that the core databases and software were set up to manage all customer facing applications. That mean we had sales, marketing and help desk front ends using the same database, so management could see a full picture of customer interaction.

Unfortunately, it was at a time when both software and hardware were much slower and CRM, as it still is, was very data intensive. To get people going, most ISVs concentrated on one of the three aspects and the split between CRM and SFA was born.

The result, over the past twenty years, was that the two systems rarely talked well with each other. Sales personnel would track their prospects through the funnel, marketing would track prospect and customer touch points in communications, but they were rarely linked and poorly linked if anything.

I worked with multiple companies who couldn’t sales and marketing information with any degree of business intelligence. One would just import the SFA’s first contact and that would always be the sole “lead source” tracked. Another did the opposite, the first campaign that ever received a ping from someone at a company was always considered to be the lead source for campaign analysis. It didn’t matter at either firm that the contact was a couple of years ago and a recent contact (sales or marketing) restarted the process.

One company tried to close the loop but didn’t know how. Marketing tracked campaigns in their CRM system and didn’t in their SFA system. A lead would be passed to sales, then that information would come back and the campaign information was no longer there and the loop couldn’t be closed.

What’s needed is for both sales and marketing to realize that BI requires a tighter link. Fortunately, the power of systems has advanced that better integration is starting to happen. In a bit of foreshadowing, I’ll say that I’m exciting to be going to Salesforce.com’s Salesforce1 World Tour tomorrow. Salesforce burst onto the scene years ago with a simple SaaS SFA platform, but it was clear they always intended more. Now, with the growth of their own CRM offerings, it’s starting to come together. I’m interested in seeing more, asking more, then blogging more.

 

BI: IT becoming shop keepers for business users

One thing everyone is discussing is the changing nature of the IT/Business manager relationship with modern BI solutions. Many folks have talked about “enabling” the end users or used other similar terms.

Late last year, QlikTech and Informatica presented a three part webinar on the state of BI. I don’t remember if it was Donald Farmer of QlikView or David Lyle of Informatica who said the phrase that stuck with me, but it was evocative: IT is changing from gate keeper to shop keeper.

The goal of IT in today’s BI world is to stop being perceived as a barrier to business information and turn to being someone who quickly provides what the customer needs. I’d even suggest the shop is a grocery store. The business user will check the tools IT provides, applets, reports, basic dashboards and similar components, then have the ability to combine them, tweaking as necessary, to create a meal appropriate enough for the specific appetite.

What I like about the analogy is that it doesn’t denigrate the importance of IT. Business users aren’t doing a run around, they’re being provided core tools by an IT organization that’s doing a lot behind the scenes, just as the grocer is very busy to ensure the products are on the shelf and the store functions properly. It’s only that it’s a time sink for both IT and the user if the wrong is preparing the meal, the user knows better what she wants so why spend so much time trying to translate for IT. Both sides have a lot of work that needs their skills, finding the right level of interaction is a boon to both.

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.