Sunday, June 15, 2014

Forget 'the Cloud'; 'the Fog' Is Tech's Future



The cloud is getting foggy, what does that mean? Aivars lode avantce
Forget 'the Cloud'; 'the Fog' Is Tech's Future
I'm as big a believer in the transformational power of cloud computing as anyone you'll meet. Smartphones, which are constantly seeking and retrieving data, don't make sense without the cloud, and any business that isn't racing to push its data and software into someone else's data center is, in my view, setting itself up for disruption by a competitor who is.

Brian Ajhar
But cloud advocates are fond of declaring that 100% of computing will someday reside in the cloud. And many companies are in business to sell you on that notion.
Here's the reality: Getting data into and out of the cloud is harder than most engineers, or at least their managers, often are willing to admit.
The problem is bandwidth. If you're a company simply seeking to save the cost and headache of storing data yourself, the cloud is great as long as all you need to do is transfer data back and forth via high-speed wiring.
But in the world of mass connectivity—in which people need to get information on an array of mobile devices—bandwidth is pretty slow. Any business that sends data to mobile devices, be it airline reservation systems for consumers or business data for a mobile sales force, grapples with the limitations of wireless networks. Overall, according to the World Economic Forum, the U.S. ranks 35th in the world in terms of bandwidth per user.
That's one reason that mobile apps have become a predominant way to do things on the Internet, at least on smartphones. Some of the data and processing power is handled within your device.
The problem of how to get things done when we're dependent on the cloud is becoming all the more acute as more and more objects become "smart," or able to sense their environments, connect to the Internet, and even receive commands remotely. Everything from jet engines to refrigerators is being pushed onto wireless networks and joining the "Internet of Things."
Modern 3G and 4G cellular networks simply aren't fast enough to transmit data from devices to the cloud at the pace it is generated, and as every mundane object at home and at work gets in on this game, it's only going to get worse.
Luckily there's an obvious solution: Stop focusing on the cloud, and start figuring out how to store and process the torrent of data being generated by the Internet of Things (also known as the industrial Internet) on the things themselves, or on devices that sit between our things and the Internet.
Marketers at Cisco Systems Inc.  have already come up with a name for this phenomenon: fog computing.
I like the term. Yes, it makes you want to do a Liz Lemon eye roll. But like cloud computing before it—also a marketing term for a phenomenon that was already under way—it's a good visual metaphor for what's going on.
Whereas the cloud is "up there" in the sky somewhere, distant and remote and deliberately abstracted, the "fog" is close to the ground, right where things are getting done. It consists not of powerful servers, but weaker and more dispersed computers of the sort that are making their way into appliances, factories, cars, street lights and every other piece of our material culture.
Cisco sells routers, which aside from storage has got to be the least sexy business in tech. To make them more appealing, and to sell them to new markets before Chinese competitors disrupt Cisco's existing revenue streams, Cisco wants to turn its routers into hubs for gathering data and making decisions about what to do with it. In Cisco's vision, its smart routers will never talk to the cloud unless they have to—say, to alert operators to an emergency on a sensor-laden rail car on which one of these routers acts as the nerve center.
International Business Machines Corp. IBM +0.74% has a similar initiative to push computing out "to the edge," an effort to, as IBM executive Paul Brody puts it, turn the traditional, cloud-based Internet "inside out." (When people talk about "edge computing," what they literally mean is the edge of the network, the periphery where the Internet ends and the real world begins. Data centers are in the "center" of the network, personal computers, phones and surveillance cameras are on the edge.
Just as the cloud physically consists of servers harnessed together, in IBM's research project, the fog consists of all the computers that are already around us, tied together. On one level, asking our smart devices to, for example, send software updates to one another, rather than routing them through the cloud, could make the fog a direct rival to the cloud for some functions.
The bottom line is, we just have too much data. And we're just getting started. Airplanes are a great example of this. In a new Boeing Co. 747, almost every part of the plane is connected to the Internet, recording and, in some cases, sending continuous streams of data about its status. General Electric Co. has said that in a single flight, one of its jet engines generates half a terabyte of data.
Cheap sensors generate lots of "big" data, and it's surprisingly useful. So-called predictive analytics lets companies like GE know which part of a jet engine might need maintenance, even before the plane carrying it has landed.
Why else do you think Google Inc. and Facebook Inc. are talking about alternate means of Internet access, including via balloons and drones? Existing carriers aren't getting the job done. Until the U.S. gets the fast wireless and wired Internet it deserves, computing things as close to the user as possible is going to be critical to making the Internet of Things responsive enough to be usable.
The future of much enterprise computing remains in the cloud, but the really transformative computing of the future? It's going to happen right here, in the objects that surround us—in the fog.

H-P Slashes Up to 16,000 More Jobs


IBM: Hewlett-Packard revenue declines as the open systems movement is killing the revenue growth. Aivars Lode avantce
H-P Slashes Up to 16,000 More Jobs
Long-Running Restructuring Is Extended as Tech Giant Struggles to Revive Sales, Be More Efficient
Hewlett-Packard Co.  is cutting thousands more jobs, as efforts to revitalize the company have sputtered amid a rapidly changing technology landscape.
The Silicon Valley giant said Thursday it would cut an additional 11,000 to 16,000 jobs on top of 34,000 positions it previously said would be eliminated as part of a multiyear restructuring plan. At the midpoint of that range, the new cuts would trim an additional 4% from H-P's workforce of about 317,500 employees.
News of the job cuts came as H-P announced results for its fiscal second quarter, revealing a drop in revenue that overshadowed higher profit. The results follow two quarters that had generally pleased investors, as the company appeared to stabilize itself under Chief Executive Meg Whitman after several years of turmoil.
H-P, known largely for personal computers, server systems and printers, has been grappling with stiff competition and big shifts in the technology industry. Challenges across its array of businesses, along with the new job cuts, may complicate efforts to revive growth and innovation.
Ms. Whitman sought to portray the unexpected job cuts as an opportunity to further streamline a company that had grown bloated over the years through multiple acquisitions.
"I'm not at all disappointed, I think it's the natural course of what makes sense in a turnaround of this size and scale," she said. The restructuring, along with continued investments in growth areas such as cloud computing, analytics software and networking technology, would set up the beleaguered Silicon Valley icon "as a force to be reckoned with," she said.
But some analysts wondered if Ms. Whitman was trying to get ahead of potentially weakening demand by announcing the new job cuts.
The quarterly numbers were accidentally posted on H-P's website ahead of schedule and before the close of regular trading Thursday.
H-P shares, which had been trading higher earlier in the session, fell following the disclosure by more than 2% to $31.78 at 4 p.m. The stock slid more in after-hours trading before rebounding slightly.
Chief Executive Meg Whitman said the new layoffs will affect all business units and geographies. Reuters
Following the release of the financial results, H-P announced leadership changes at its software and networking businesses.
Ms. Whitman said the new layoffs will affect all business units and geographies. "We recognize that it is difficult for employees," she said. "Our employees know there are ways we can be more efficient."
In fiscal year 2014, H-P said it expects the new layoffs will produce approximately 2 to 3 cents a share of incremental savings, an estimated incremental charge of approximately $500 million and an additional cash-flow impact of approximately $200 million in the second half of the year.
H-P said layoffs will also create additional savings in fiscal year 2016 of approximately $1 billion a year, although some of this will be reinvested back into its business.
For the quarter ended April 30, H-P reported that net income rose 18% to $1.27 billion, or 66 cents a share, from the year-earlier level of $1.1 billion, or 55 cents. On an adjusted basis excluding certain expenses, H-P put earnings per share at 88 cents. Revenue fell 1% to $27.3 billion. Analysts on average had expected adjusted earnings per share of 88 cents on revenue of $27.4 billion, according to Thomson Reuters.
H-P's strongest-performing segment was its PC group, whose sales rose 7% thanks in part to continuing strength in sales of computers to businesses. PCs are H-P's largest business by revenue, but they also typically produce the lowest profit margin of the company's main business groups.
RBC analyst Amit Daryanani wrote that the mix of the company's revenues is concerning especially if PC sales start to slow down following the boost seen in April when some customers were forced to buy new machines after Microsoft Corp. ended support for its Windows XP operating system.
Performance at H-P's software group improved, as its sales were flat with the year-ago quarter. In the previous quarter, software sales fell 4%. But its large enterprise and printing groups took a step backward, while its technology services group continued to struggle.
While companies such as International Business Machines Corp.  are retreating from a hardware market with low margins and intense pricing pressure, H-P is moving to bolster its computing hardware business.
H-P's enterprise group makes servers, storage and networking equipment and represents about a quarter of its total revenue and roughly 40% of its operating earnings. In the latest quarter, the enterprise group, which had grown slightly for the past two quarters, saw its sales drop 2%.
Revenue in H-P's printing group fell 4%, compared with 2% in the previous quarter.
As part of the executive changes announced Thursday, Executive Vice President George Kadifa, who had served as head of H-P's software operations, was appointed to a new job in charge of strategic relationships. Taking his place will be Robert Youngjohns, who previously led H-P's Autonomy unit, which makes analytics software.
Ms. Whitman said the current head of H-P's server business, Antonio Neri, was also appointed to run its networking business.
For the current quarter, H-P put adjusted earnings per share at 86 to 90 cents.

Amazon's Wholesale Slaughter: Jeff Bezos' $8 Trillion B2B Bet


Amazon's B2B strategy. Is it coming after your business? Aivars Lode avantce

Amazon's Wholesale Slaughter: Jeff Bezos' $8 Trillion B2B Bet

This story appears in the May 26, 2014 issue of Forbes.
AmazonSupply chief Prentis Wilson. Photo: Rick Dahms for Forbes

Forget the delivery drones and TV deals. Jeff Bezos’ stealthy foray into the unsexy world of B2B distribution is likely his most disruptive move yet — and it has an $8 trillion swath of the economy running scared.
In recent months global Internet retail behemoth Amazon.com has green-lit six new original TV shows, announced an online streaming deal with HBO and tested same-day grocery delivery on the West Coast.
Up next? Possibly a smartphone. And, if billionaire CEO Jeff Bezos has his way, packages dropped off by unmanned drone.
But there’s one thing Bezos hasn’t been talking about: AmazonSupply, an e-commerce site targeting the unsexy but hugely lucrative wholesale and distribution market. His silence is especially surprising as the site has the potential to turn into the most important development in the company’s history since it started selling books. Yet Bezos has uttered only 28 words in public–ever–about AmazonSupply, describing it in passing as “an incredible category” during the company’s 2012 annual meeting.
“You can get industrial motors, flanges, valves, fasteners, materials, janitorial supplies,” he said. And that was it, before moving on to proudly tell shareholders that the world’s largest gummy bear, a 72-ounce sugary beast, was for sale on Amazon.com. Whether the lack of hype is a deliberate part of a stealthy rollout or Bezos just thinks selling rubber gloves to dentists lacks p.r. value, wholesalers are taking the threat seriously, and it’s easy to see why.
While U.S. retailers took in more than $4 trillion in revenues according to the most recent U.S. Census, wholesalers brought in $7.2 trillion selling everything from Bunsen burners to toner cartridges. Even better for Amazon: Of America’s 35,000 distributors, almost all are regional, family-run companies pulling in annual revenues of $50 million or less, and only 160 have more than $1 billion in sales annually. “The industry is largely ignored,” says Dirk Van Dongen, president of the National Association of Wholesaler-Distributors. “You can go your whole life without having a single thought about it.”
Amazon, meanwhile, booked more than $74 billion in revenues last year, selling everything from beds to server time with a viruslike strategy that values opportunity and disruption above short-term profitability. Almost identical to the company’s flagship website, albeit without ads for its ubiquitous Kindle e-readers, AmazonSupply.com launched quietly in April 2012 with 500,000 items for sale.
Two years later, with the site still officially in beta, that list of products has grown to more than 2.2 million–covering 17 product categories from tools and home improvement to janitorial supplies, stocking everything from 12-packs of Hawaiian Punch to schedule-40 stainless steel pipe. If 2.2 million products doesn’t sound like a staggering figure on its own, consider that the average wholesaler sells closer to 50,000 products online.
“The question is not whether AmazonSupply will be a threat,” says Richard Balaban, who has studied the site for management consulting firm Oliver Wyman. “Rather it is which customers, purchase occasions and categories will be attacked first.”
***
AmazonSupply’s genesis was in 2005, with Amazon’s acquisition of SmallParts.com, an online emporium that billed itself as “the hardware store for research & development.” The purchase price was never disclosed. “It was an opportunity for us to learn more about our business customers,” says Vice President of B2B and AmazonSupply Prentis Wilson. “As we evolved our selection, we launched AmazonSupply.”
He won’t say what Amazon is spending–and likely losing–on the venture, but overall the company, despite all those billions in revenue, estimates an operating loss of up to $455 million next quarter. This aversion to profits may be starting to turn off investors (the stock is down 9% since the announcement in April, though the market capitalization remains a staggering $142 billion), but it’s helped build a 125,000-employee logistics and data powerhouse that was able to process orders on 36.8 million items during peak Cyber Monday shopping last Christmas season–a staggering 426 items per second to 185 countries.
As impressive: The company earned the top score among 230 of America’s biggest companies in the University of Michigan’s annual customer service satisfaction index and has placed in the top ten for years. “We are comfortable planting seeds and waiting for them to grow into trees,” Bezos told FORBES for a 2012 cover story. “We don’t focus on the optics of the next quarter; we focus on what is going to be good for customers.”
The development of Amazon Web Services, which Bezos launched in 2006, says a lot about Amazon’s likely ambitions for AmazonSupply. Having developed the computer infrastructure needed to run Amazon.com, Bezos set up a B2B division that allowed other companies to use Amazon’s excess computing power. Web Services now dominates the cloud computing industry, hosting customers from NASA to Pfizer and ringing up an estimated $3.2 billion in revenue last year, thanks to an even faster growth rate than Amazon’s main storefront.
“If you think about where they’re making their money right now, it’s not in shipping you and me Crest toothpaste,” says Bruce Cohen, a senior partner at management consultancy Kurt Salmon. “It’s in cloud computing. It’s these vast servers. They’re not making money on the sexy part of the business–streaming video or delivering us boxes of cool stuff.”
Wilson is Bezos’ wholesale czar. The chiseled, dark-haired 43-year-old joined Amazon in 2011 from Cisco Systems, where he was responsible for sourcing materials and overseeing suppliers at the networking and data center powerhouse. Now based in Seattle, Wilson oversees industrial and scientific supplies across the whole of Amazon, as well as this new business. He wouldn’t disclose how many Amazon employees are currently working solely for AmazonSupply, but scan the division’s recruiting website and you’ll see how lofty the e-tailer’s ambitions are for its wholesale business. Under the heading “Our goal is to supply everything needed to rebuild civilization,” some 40 jobs are listed, including software-development engineers and “brand specialists” who’ll be expected to become experts on the tools of the trade for one particular manufacturer, be it a maker of plumbing or office supplies.
It’s definitely on its way. Most of the scientific and industrial equipment AmazonSupply lists for sale, for instance–items like centrifuges, micrometers and air cylinders–would otherwise be available only from specialist distributors. But few can compete with its vast inventory, not to mention the easy-to-navigate website and 24-hour delivery, all longstanding hallmarks of Amazon’s appeal. “If you have a lab scientist, someone with a Ph.D., trying to find the next cancer drug in a capital-intensive lab, any time they spend trying to find a new product is expensive,” Wilson says.
Nor can small fry compete with AmazonSupply’s infrastructure and deep cache of consumer data. The company won’t disclose any details, saying only that AmazonSupply “utilizes all of Amazon’s fulfillment and logistics capabilities.” In the U.S. that’s a network of 40 U.S. fulfillment centers–and growing. And while retailers like Home Depot and Lowes (and Amazon in its earlier days) are loath to stock products that don’t sell quickly, to gain competitive advantage AmazonSupply, with its vast financial resources, has been more likely to take on inventory that won’t necessarily fly out the door. Industry experts estimate the company stocks more than 50% of what it offers on the site at any given time. “I encourage my clients to become third-party fulfillers to AmazonSupply,” says Dick Friedman, a consultant who helps traditional distributors develop strategies to compete with AmazonSupply. “Why not? The only trouble is if it sells well enough, AmazonSupply will stock it and cut the little guy out of the picture.”
“The challenge of distribution is to have orders big enough to make money,” says Scott Benfield, a B2B consultant who’s been following the wholesale and distribution game for 20 years. “It’s a very thin-margin business: 2% to 4% for traditional businesses in this sector.” Amazon’s scale is ideally suited to compete in this kind of high-volume, low-margin operation. A Boston Consulting Group study found AmazonSupply’s prices to be about 25% lower than the rest of the industry on common items.
To woo manufacturers the company has also built in the ability to show off products in Web videos, post downloadable CAD drawings and draw from user reviews. Buyers, from 3-D printing specialists to auto mechanics, avoid the human interactions–which can either be pesky or irreplaceable, depending on the rep–that remain a feature of most wholesale and distribution deals.
“It’s a very consistent message, versus 500 different sales reps,” says Wilson. He added that manufacturers have reported an uptick in sales of products that were not quite as popular before. “Just getting the product available on Amazon, people know it exists,” he says. “We aren’t afraid to put inventory on an item. That has a lot of value. It builds confidence.”
***
If there’s one company standing in Amazon’s way, it’s Chicago-based industrial supplies giant W.W. Grainger. With $9.4 billion in revenues it’s definitely the business to beat, controlling an estimated 6% of the entire B2B market. With a robust e-commerce operation dating back to 1995, its site is slick and user-friendly; it offers 24-hour delivery on most items, user reviews and suggestions based on your previous purchases and searches.
Grainger has been selling tools for maintenance and repair since 1927; since then business has grown to more than 700 regional sales branches and 33 distribution centers. It still makes much of its money offline. In 2013 its e-commerce sales surpassed $3 billion, representing 33% of the company’s total revenues.
Grainger and some of its specialty competitors–Cardinal Health, for example, in the area of medical supply–are well-established in the back offices of corporations and hospitals, where the business is deeply rooted in their processes. At the Nebraska Medical Center, for example, Cardinal picked up the initial tab for $4.5 million in inventory, freeing up financial resources for the hospital. Then it took over the center’s entire supply chain, from loading-dock workers and the accounts-payable department to administering all contracts with suppliers and tracking distribution from the truck to the bedside. Cardinal bills the hospital based on usage. “Companies have written over processes to them,” says Cohen. “Just as some organizations outsource their entire IT departments.”
But just a couple years into the game, AmazonSupply has already beaten Grainger in sheer volume of online inventory, with its 2.2 million products for sale dwarfing the latter’s 1.2 million. AmazonSupply may cut into Grainger’s high-volume, low-margin business if it hasn’t already. It’ll sell truckloads of beakers, for example, or copy paper. These are what the industry calls “replenishment items,” and they’re the lowest hanging fruit for Amazon. A pound of Gorilla Glue high-strength superglue costs $159 on AmazonSupply. On Grainger’s site the same bottle is priced at $173.25.
Grainger’s take on AmazonSupply? CEO Jim Ryan declined requests for an interview, but a spokesperson says: “While we don’t comment specifically on other companies, it’s important to note that Grainger’s multichannel business model and our target customers differ significantly from how online-only retailers serve the market.”
Not everyone buys Grainger’s nonchalance. “They’re planning, and they don’t want Amazon to know what they’re thinking,” says Barry Lawrence, program director of industrial distribution at Texas A&M University. He expects the company to make it easier to do business with Grainger through technology like mobile apps for purchasing managers and stronger loyalty programs–just like United Airlines uses frequent-flier programs to discourage you from using Expedia. “Grainger’s going to build some firewalls up against Amazon,” he says.
***
But that’s Grainger. For the rest of the 34,000-plus wholesalers and distributors with revenues and infrastructures who deal in millions, not billions of dollars in sales each year, the future competing with a fast-growing AmazonSupply could be bleak. Providing high-touch, value-added services to customers–the kinds of things humans attuned to their field excel at–is one defense.
And industry insiders seem to take some hope from the idea that Amazon can’t–and indeed won’t want to–tackle every customer’s needs in a complex, highly segmented part of the economy. Last year management consultancy firm Oliver Wyman studied Amazon’s encroachment into wholesale. Interviewing 25 CEOs of billion-dollar distribution businesses over the course of a few months, Wyman’s Balaban found that a third were skeptical that e-commerce competition will hurt their business in part “because their product is too difficult for a new entrant like Amazon to warehouse and ship.”
For instance, will Amazon want to handle industrial gases like carbon dioxide for pubs and bars and McDonald’s soda pumps? Amazon can sell gloves and goggles, but it’s much more expensive to deliver big, ugly tanks of acetylene or 55-gallon drums of acetate.
“Businesses with products that are dangerous, exotic or require specialist handling will be slower to be vulnerable to Amazon,” says Balaban, who co-wrote the Oliver Wyman report. “Amazon won’t take business away for drills or dentists’ chairs. But dentists also have drawers full of mouthwash, dental floss, paper towels, latex gloves and those bibs that go around your neck.”
To fight back some companies are adding services they hope AmazonSupply can’t–or won’t–duplicate. Take Valin Corp., a 40-year-old San Jose, Calif. distributor that once specialized in selling computer chips. Since 2010 the company has focused on the fast-growing oil and gas sector, handling and measuring output at surface oil wells among other relatively new assembly and manufacturing revenue streams. “Amazon is never going to get into servicing oilfields,” says Benfield, the B2B consultant. “They’re not sending out engineers.”
So are they right? Like everything else about AmazonSupply, Wilson is cagey about what services it’ll leave to the competition and which ones it may attempt to provide. Would it start selling tanks of oxygen? Or transport lumber to construction sites? “We would explore any item to ensure that we’re able to fulfill it,” is all Wilson will say.
Besides, you don’t need to do everything to carve out a hell of a big business in a sector of the economy as large as wholesale. Rivals, Balaban says, should expect the worst. “If your business does not yet have a credible plan to survive and thrive in the new ecosystem,” he says, “there may be less time than you think.” Just ask your local bookstore.




Grow fast or die slow


How tech companies become billion-dollar giants. Can you believe it. Aivars Lode avantce

Grow fast or die slow
Software and online-services companies can quickly become billion-dollar giants, but the recipe for sustained growth remains elusive.
April 2014 | byEric Kutcher, Olivia Nottebohm, and Kara SpragueGrowth trumps allExhibit 1Growth yields greater returnsGrowth predicts long-term successGrowth matters more than margin or cost structureExhibit 2Sustaining growth is really hardSmall probability of making it bigExhibit 3Success is fleetingA recipe for sustained growthGrowth happens in phasesFive critical enablers of growth in act oneThe drivers of growth for act two are differentSuccessful companies master the transition from one act to the next
Growth trumps all
Growth yields greater returns
Growth predicts long-term success
Growth matters more than margin or cost structure
Sustaining growth is really hard
Small probability of making it big
Success is fleeting
A recipe for sustained growth
Growth happens in phases
Five critical enablers of growth in act one
The drivers of growth for act two are different
Successful companies master the transition from one act to the next




Software and online services are in a period of dizzying growth. Year-old companies are turning down billion-dollar buyouts in the hopes of multibillions in a few months. But we have seen similar industry phases before, and they have often ended with growth and valuations fizzling out. The industry’s booms and busts make growth, an essential ingredient in value creation, difficult to understand. To date, little empirical work has been done on the importance of revenue growth for software and Internet-services companies or how to find new sources of growth when old ones run out.
In our new research, we analyzed the life cycles of about 3,000 software and online-services companies from around the globe between 1980 and 2012. We also surveyed executives representing more than 70 companies and developed detailed case studies of companies that grew quickly and others whose growth stalled. The research produced three main findings.
Growth trumps all. Three pieces of evidence attest to the paramount importance of growth. First, growth yields greater returns. High-growth companies offer a return to shareholders five times greater than medium-growth companies. Second, growth predicts long-term success. “Supergrowers”—companies whose growth was greater than 60 percent when they reached $100 million in revenues—were eight times more likely to reach $1 billion in revenues than those growing less than 20 percent. Additionally, growth matters more than margin or cost structure. Increases in revenue growth rates drive twice as much market-capitalization gain as margin improvements for companies with less than $4 billion in revenues. Further, we observed no correlation between cost structure and growth rates.
Sustaining growth is really hard. Two facts emerged from the research. Companies have only a small probability of making it big. Just 28 percent of the software and Internet-services companies in our database reached $100 million in revenue, and 3 percent reached $1 billion. Of the approximately 3,000 companies we analyzed, only 17 achieved $4 billion in revenue as independent companies. Moreover, success is fleeting. Approximately 85 percent of supergrowers were unable to maintain their growth rates, and once lost, less than a quarter were able to recapture them. Those companies that did regain their historical growth rate had market capitalizations 53 percent lower than those that maintained supergrowth throughout.
There is a recipe for sustained growth. While every company’s circumstances are unique, the research found four principles that are essential to sustaining growth and from which every company can benefit. First, growth happens in phases: from start-up to billion-dollar giant, growth stories typically unfold as a prelude, act one, and act two. In act one, there are five critical enablers of growth: market, monetization model, rapid adoption, stealth, and incentives. A third principle is that the drivers for growth in act two are different. Successful strategies in act two include expanding the act-one offer to new geographies or channels, extending the act-one success to a new product market, or transforming the act-one offer into a platform. Finally, successful companies master the transition from one act to the next. Pitfalls include transitioning at the wrong time and selecting the wrong strategy for the next act.
Company leaders can use these insights to understand their growth trajectory and determine whether their current products and strategy are sufficient to reach their aspiration. If not, the research can help them determine the right time to make the transition to a second act that can sustain their growth and avoid some common pitfalls that have derailed several such transitions.
It’s no secret that growth matters for any company and that software and online-services companies1 grow faster than those in other sectors. Classical corporate-finance theory holds that value creation stems from only two sources, growth and return on invested capital. In software and services, one of these matters more than the other. While returns on capital are often strong in mature companies, it is growth that matters most in the early stages of a company’s life.
But few executives can say precisely how important growth is to these companies, or how it is achieved. The rules of the road in other industries do not apply here. If a health-care company grew at 20 percent annually, its managers and investors would be happy. If a software company grows at that rate, it has a 92 percent chance of ceasing to exist within a few years. Even if a software company is growing at 60 percent annually, its chances of becoming a multibillion-dollar giant are no better than a coin flip.
In this section, we will explore the unique physics of growth in these industries—the principles that underlie revenue expansion in software and online services.
We created two samples of companies: those with between $100 million and $200 million in annual sales, and those with between $1 billion and $1.5 billion. We then divided these into three rates of annual growth: supergrowers (greater than 60 percent two-year compound annual growth rate, or CAGR, at the time they reach $100 million in sales and greater than 40 percent at $1 billion), growers (CAGR between 20 and 60 percent at $100 million and between 10 and 40 percent at $1 billion), and stallers (CAGR of less than 20 percent at the first threshold and less than 10 percent at the second). Note that these stallers underperformed only in the context of their sector; on average, they achieved growth rates that would be the envy of companies in most industries.
We found that only a small fraction were supergrowers: 10 percent and 15 percent, respectively (Exhibit 1). That’s a big drop-off from the period before they reached $100 million in sales, when 50 percent of our sample grew at more than 60 percent annually.

Only a small fraction of companies achieve the highest rates of growth.
Using this same segmentation, we studied the impact of growth rates on total returns to shareholders. We found that at the first threshold, supergrowers generated five times more shareholder returns than growers did; at the second, they produced twice as much. The stallers, with growth rates below 20 percent, actually produced negative returns to shareholders, between –10 and –18 percent depending on company size.
Perhaps even more important, our research revealed that higher growth rates portend sustained success. In fact, supergrowers were eight times more likely than stallers to grow from $100 million to $1 billion and three times more likely to do so than growers.
So, growth is essential to value creation. But is it more important than other factors, such as cost control and operating excellence? We analyzed the relationship of cost structure to growth and found little or no correlation. In every major cost category—cost of goods sold, R&D, marketing and sales, and overhead—there is little or no correlation between the level of expense or investment and growth rate. Fast-growing companies can spend a lot or a little on these categories; it doesn’t seem to matter.
As expected, in the software and online-services industries, with their outsize returns on capital, we found that changes in top-line growth deliver twice the valuation gain that margin improvements make. Exhibit 2 lays out the two routes of improvement for a software or online-services company.

Growing faster has twice as much impact on share price as improving margins.
Companies with earnings before interest, taxes, and amortization (EBITA) margins below 10 percent and growth rates below 20 percent have seen their market capitalization grow 14 percentage points more slowly than the market average. The data suggest that they can drive nearly twice as much value by pushing growth rates over 20 percent as they can by pushing EBITA margins above 10 percent. Companies with EBITA already in excess of 10 percent but top-line growth below 20 percent achieve a similar market-capitalization improvement by boosting their top-line growth above 20 percent.
There is, however, one notable exception to the idea that growth is all-important. When companies reach $4 billion in revenues or more margins become more important to value multiples.
As would be expected, if growth is especially important to achieve in software and online services, then sustaining it is especially difficult. Our research produced two critical findings about the difficulty of sustaining growth.
In an industry that sees an extraordinary number of start-ups, very few go on to become giants. Of the nearly 3,000 companies that we studied, only 28 percent reached $100 million in annual revenues; 3 percent went on to log $1 billion in annual sales, and just 0.6 percent—17 companies in total—grew beyond $4 billion (Exhibit 3).

Very few software companies grow beyond $1 billion in revenues.
As mentioned, high rates of growth are a predictor of long-term success. We analyzed the 96 companies that reached $1 billion in annual sales and found that fully 85 percent were in the top two categories of growth (supergrowers and growers) when the companies were smaller. Forty-five percent stayed in those categories—they kept their growth rate consistent—and when they reached $1 billion in sales, the prize for this growth was not only survival, but also thriving performance, as evidenced by a much higher market capitalization/revenue multiple than the companies that took a slower route to $1 billion in revenue. Most interesting to us, companies whose growth rate fell off and then recovered created less than a quarter of the value of the companies that maintained growth—despite similar rates of growth at the $1 billion threshold. Taking their foot off the pedal for even a short stint had dramatic long-term consequences. Bankers call this the “humpty dumpty” problem: once growth is broken, it is impossible to put back together again.
That pattern of slowdown and recovery is unusual and attests to the importance of consistent growth. Many companies experience a slowdown in growth: 217 of the companies in the top two categories slipped one notch within three years after reaching $100 million in revenue. Only about one-third were able to climb back to the fastest rates of growth.
Given the importance of growth and the very real difficulty of sustaining the highest rates of growth, we wondered if there were any common practices or standards applied by successful growers. Through case-study research and interviews and surveys of senior executives in more than 70 software and online-services companies, we uncovered four principles for sustaining growth. While every company’s situation is unique, these principles seem to be universal. Following them will not guarantee growth but will certainly give a company a better chance at finding and sustaining growth.
Our first conclusion is the importance of approaching growth as an episodic phenomenon. We found three critical phases, which we call the prelude, act one, and act two. In the prelude, companies test the fit between product and market, typically through bespoke or one-off solutions for initial customers. The prelude is all about finding an offer and business model that appeal to a broad customer set. This is a vital phase, of course, but has been well studied.
We are more interested in the two phases that follow. In act one, companies narrow their focus to an offer that truly scales, both with regard to serving many customers and consistently delivering revenues. It is with this first scaling offer that software and Internet-services companies prove their first business model and typically ride to tens or hundreds of millions (or even, on rare occasions, billions) of dollars in revenues. Importantly, at this point most companies that experience this kind of supergrower success turn to the public markets for growth capital through an IPO.
A capital infusion may help sustain growth for a time as a company expands its act-one offer to new customer segments or geographies. But in most cases the adoption curve will reach its natural conclusion, and act one will no longer offer a sufficient growth engine. For companies to sustain growth, they must typically identify their second act—a second offer that scales.
For act one, we identified five critical steps to drive growth, some well understood and others less obvious. The first is to pick the right market, ideally a “limitless” market with millions of end points (that is, users or devices). Google’s addressable market, for example, is every Internet user on the planet—some 2.4 billion people—and the approximately $500 billion (and growing) worldwide spending on advertising. Similarly, LinkedIn addresses a market that includes any professional and anyone looking to hire a professional.
Next is to define a monetization model that enables the company to capture demand without stifling it and thus to scale up successfully. Figuring out the best way to capture the value created by a company’s offering is critical since it essentially defines a company’s business model and is difficult to change later. For example, one popular software company tied monetization of its act-one product to a physical construct, processors. The company later tried to introduce a different pricing model that was more directly tied to the usage of the product. Even though the model change benefited a large majority of customers, the customers who it didn’t benefit were so vocal that the company had to revert to the original model.
Third is to focus on rapid adoption. This approach protects a company from becoming caught up in the demands of serving a particular customer set. Our interviews and case studies revealed numerous instances of companies becoming lost in the pursuit of the “lighthouse” customer. These companies made major concessions across product and pricing to win over a large account. Though in some instances this resulted in a major reference customer, it hindered the development of a product designed for mass use, or of a streamlined operational capability (for example, “zero-cost provisioning”).
The fourth factor is stealth. Andrew Grove, former CEO of Intel, famously spoke of paranoia as a virtue. Given the pace at which the barriers to entry are falling in this industry, maintaining a low profile while alpha and beta products are developed is vital. In several of our interviews, CEOs discussed the weak intellectual-property protection provided by patents as a prime example of these low barriers.
The fifth and final enabling action is to create proper incentives for the leadership team to remain committed to the company, through act one and beyond. Both in their culture and in their incentive structure (for example, change of control agreements), many start-ups give little thought to life beyond the IPO. Instead, companies and their executives should be focused on building $1 billion companies—with respect to revenue and not market capitalization.
Act two presents new challenges. Having achieved a foothold (or more) in the marketplace, what next? How can executives keep their software or online-services company growing? Our research established that, in the span between $100 million and $1 billion in annual revenues, many companies run up against either natural market-size or market-share limits to their core product or service. Those companies able to grow successfully to $1 billion and beyond used at least one of three viable growth strategies to get past these boundaries.
First, a fortunate few built robust enough act-one business models that they could simply expand for their second act. These companies opened new geographies (as Facebook did, focusing on Anglophone markets), new outlets (as Google did with Gmail), or new categories (as Amazon did in expanding its e-commerce engine to new retail categories). This approach is only viable for those companies whose act one addresses a target market that is so sizable and fast growing it can support multiple phases of growth.
Second, some companies extend their proven business model into adjacent markets. For example, Microsoft replicated its success in desktop operating systems when it moved into server operating systems and eventually enterprise applications (such as Dynamics and SharePoint). Many companies using this strategy made sizable acquisitions a key component of their growth story, buying footholds in adjacent markets and overcoming the difficulties of integration. Oracle built out its portfolio of enterprise applications primarily via large acquisitions (for example, BEA Systems, PeopleSoft, Siebel, and Taleo). Adobe, SAP, and Symantec also used M&A in this way, acquiring large segments in adjacent markets and excelling in postmerger integration.
Third, some companies successfully grow when they transform their core product into a platform, around which an “ecosystem” of complementary products and services can arise. Microsoft successfully used this strategy when it parlayed its leadership in PC operating systems to commensurate success in PC productivity software (that is, Microsoft Office, built on top of Microsoft Windows). Salesforce.com followed a similar playbook with its Force.com platform, which encourages developers to create new tools using its application programming interfaces and provides Salesforce.com with valuable insight into future product areas.
Figuring out the right time to begin the transition to act two is a nontrivial management decision. Moving too soon could prevent a company from reaping all of act one’s market potential and could enable competitors to gain share. Moving too late and letting growth slow results in lower valuations, and ultimately in the loss of market relevance, as the research shows.
Consequently, knowing when to transition is critical. From our work, we have seen several leading indicators of a coming stall: slowing acquisition of customers due to market saturation, declining lifetime value of new customers, decreasing participation of ecosystem partners (developers or channel resellers), and market disruption from new entrants. A final barometer of impending slowdown is the loss of key talent from sales, presales, or engineering.

When the moment is right, companies should pressure-test their act-two strategy and be aware of a couple of common pitfalls. First, some companies select the wrong market or product offering for their second act. This failure can be attributed to insufficient diligence in assessing the new market or not having the right capabilities in-house to design and build that next major offering. Companies can also underinvest in the resources or budget required to make the act-two offering a success. One can find many examples among defunct software companies. Borland and VisiCorp (creators of VisiCalc) both fall into this category, as they failed to grow significantly on their own and were instead acquired for very little.

Chef Jamie Oliver Proves McDonald’s Burgers “Unfit for human consumption”


Traditional businesses are under pressure from all quarters. Aivars Lode avantce

Chef Jamie Oliver Proves McDonald’s Burgers “Unfit for human consumption”


By David Warner  – Hamburger chef Jamie Oliver has won his long-fought battle against one of the largest fast food chains in the world – McDonalds. After Oliver showed how McDonald’s hamburgers are made, the franchise finally announced that it will change its recipe.
Oliver repeatedly explained to the public, over several years – in documentaries, television shows and interviews – that the fatty parts of beef are “washed” in ammonium hydroxide and used in the filling of the burger. Before this process, according to the presenter, the food is deemed unfit for human consumption. According to the chef and hamburger enthusiast, Jamie Oliver, who has undertaken a war against the fast food industry, “Basically, we’re taking a product that would be sold in the cheapest way for dogs, and after this process, is being given to human beings.”
Besides the low quality of the meat, the ammonium hydroxide is harmful to health. Oliver famously coined this the “the pink slime process.”
“Why would any sensible human being put meat filled with ammonia in the mouths of their children?” Oliver asked.
In one of his colorful demonstrations, Oliver demonstrates to children how nuggets are made. After selecting the best parts of the chicken, the remains (fat, skin and internal organs) are processed for these fried foods.
In reply to all of the bad press this process has received from Oliver, the company Arcos Dorados, the franchise manager for McDonalds in Latin America, said such a procedure is not practiced in their region. The same, it should  be noted, applies to the product in Ireland and the UK, where they use meat from local suppliers.
In the United States, however, Burger King and Taco Bell had already abandoned the use of ammonia in their products. The food industry uses ammonium hydroxide as an anti-microbial agent in meats, which has allowed McDonald’s to use otherwise “inedible meat.”
Most disturbing of all is the horrifying fact that because ammonium hydroxide is considered part of the “component in a production procedure” by the USDA, consumers may not know when the chemical is in their food.
On the official website of McDonald’s, the company claims that their meat is cheap because, while serving many people every day, they are able to buy from their suppliers at a lower price, and offer the best quality products. But if “pink slime” was really the “best quality” that McDonalds can muster in the US, then why were they able do better in Latin America and Europe? More to the point, why can they apparently do better now in the United States?
These questions remains unanswered by the franchise which has denied that the decision to change the recipe is related to Jamie Oliver’s campaign. On the site, McDonald’s has admitted that they have abandoned the beef filler from its burger patties.



The Rise of the Digital CMO


How the world is changing and the CIO role is being challenged by the CMO. Aivars Lode avantce


The Rise of the Digital CMO
Fact: When it comes to marketing spending, analog still outstrips digital by a factor of three to one. How could this be?, you ask. Digital marketing provides targeted reach and measurable impact. Innovative digital marketing approaches in social media, CRM, and other areas dominate thediscussion. Nevertheless, analog spending still rules, as confirmed by Gartner’s 2013 digital marketing spending report. Shouldn’t CMOs and all marketers be shocked by this? Sure, an ample pile of dollars can be attributed to big spending on a few analog media channels, like Super Bowl ads, for example. But I would suggest that there is something more fundamental happening behind the numbers; something lurking in the very nature of digital marketing and what it asks of leadership and what it means for accountability.
The Digital Disconnect
First, there’s a digital disconnect in the executive ranks, a leadership vacuum created by a mismatch between expertise and authority. Like so many other revolutions, digital marketing has taken hold from the bottom up. Here, we find digital natives steeped in digital culture and practice — twenty- and thirty-somethings who came of age on the social web. Squint your eyes and you see tomorrow’s CMOs. But today’s CMO is different: the corporate attire may be gone, but the assimilation to the new digital culture is incomplete.
You can see a strong precedent for this in the open source software movement, which didn’t go mainstream until its early adopters progressed through the ranks. Yesterday’s Linux hackers are now the chief architects and CIOs of the largest enterprises. Unsurprisingly, open source has become a key part of most enterprise IT architectures. But open source only crossed the chasm once its champions came of age. Many CMOs see their digital future, but struggle to make the case across the executive ranks, where resistance is born of unfamiliarity, fear, or misperceptions about what digital marketing means for the brand. “But we’re a traditional company” is no longer a credible line of defense, though, unbelievably, it is still a more common one than you’d think.
Perhaps digital marketing won’t go native until the natives occupy the executive suite. But I’m betting it will only accelerate because, unlike the open source movement which was initially about cost, digital marketing is plainly driven by revenue. Digital experiences and engagement draw consumers closer to a brand and more efficiently drive conversions and transactions, both online and off.
The Consequence of Measurement
Second, digital marketing is illuminating in ways both powerful and problematic. Analog practices leave room for ambiguity. The numbers matter, but can’t always be counted with precision. ROI is often ambiguous and anecdotal, which can relieve the CMO of true accountability. To be fair, many CMOs do want greater visibility. They’re tired of the murkiness clouding the space between investment and impact.
Others, however, long for the bygone days when the big idea was sufficient. The CMO could tap dance through the average board meeting, as long as revenue tracked up and to the right. Like Mad Men‘s Don Draper, the CMO became the master of the soft-shoe performance.
But with digital techniques, everything is measurable. Feedback loops tighten, segmentation becomes microtargeting, and optimizations can happen on the fly or even in real time. The relationship between investment and impact becomes correlated and causal — and the CMO becomes accountable down to the dime and moment by moment. Light dawns on the marketing spend! This transparency is powerful when quarters are turning into dollars for the business — but potentially perilous when the opposite is the case.
The Digital CMO
Now, a few CMOs may feel unfairly implicated here. Apologies! Of course, there are indeed strong examples of digital converts who have completed this assimilation successfully and built world-class digital marketing organizations that reimagine brand engagement, and even reinvent business models.
What do these “digital CMOs” do differently? They experiment aggressively. They hire smart digital natives — and empower them. They partner with great agencies. They have the humility to admit what they don’t know, the courage to toss out the old playbook, and the confidence to allow digital metrics to illuminate the results.
Some hire a chief technologist. Sometimes it’s a peer to the CMO, perhaps a chief digital officer, which Gartner predicts will be present in 25% of enterprises by 2015. Sometimes it’s a chief marketing technologist reporting to the CMO, which Gartner already finds in 70% of marketing organizations today. In both cases, this role is the designated left brain to the CMO’s right.
Digital CMOs also think beyond digital marketing. They look for opportunities to create digital experiences and revenue streams enabled by the nexus of forces, which is Gartner’s description of the convergence and mutual reinforcement of social, mobile, cloud and rich information. The collision of these factors unlocks opportunities to reach and engage with consumers across the physical and virtual worlds, drawing them closer with targeted, contextually relevant experiences and offers. Further, it can allow brands to redefine how value is created and delivered — the way Apple has with music, Amazon has with IT infrastructure, and Netflix has with movies.
Last year, Gartner predicted that by 2017, the CMO’s technology budget will exceed the CIO’s. Why? Because more often than not, it’s the CMO who is expected to drive this digital transformation, which is deeply dependent on technology. Is the average CMO ready to step up to this challenge?
Some CMOs are preparing for the digital revolution by filling the gap between expertise and authority. In other words, they have the self-awareness and the confidence to take bold action even when the context has shifted beyond their sphere of influence and scope of expertise. That is leadership. Others are afraid of the digital disruption — or exhausted by what it will take to convert digital resistors in the executive suite.
But as we’ve witnessed through the economic and technological upheavals of recent years, and the resulting creation and destruction of business models, markets and careers — disruptions can be swift and unrelenting, and it is much better to be a disruptor than one of those being disrupted.

NHS England patient data 'uploaded to Google servers', Tory MP says



It would seem that healthcare fraud is a huge issue world wide. Aivars Lode avantce

NHS England patient data 'uploaded to Google servers', Tory MP says

Health select committee member Sarah Wollaston queries how data was secured by PA Consulting and uploaded to servers outside UK
Dr Sarah Wollaston MP
Dr Sarah Wollaston MP tweeted: 'So HES [hospital episode statistics] data uploaded to 'google's immense army of servers', who consented to that?' Photograph: Martin Godwin for the Guardian
A prominent Tory MP on the powerful health select committee has questioned how the entire NHS hospital patient database for England was handed over to management consultants who uploaded it to Google servers based outside the UK.
Sarah Wollaston, who practised as a family doctor and is now a Conservative backbencher, tweeted: "So HES [hospital episode statistics] data uploaded to 'google's immense army of servers', who consented to that?"
The patient information had been obtained by PA Consulting, which claimed to have secured the "entire start-to-finish HES dataset across all three areas of collection – inpatient, outpatient and A&E".
The data set was so large it took up 27 DVDs and took a couple of weeks to upload. The management consultants said: "Within two weeks of starting to use the Google tools we were able to produce interactive maps directly from HES queries in seconds."
The revelations alarmed campaigners and privacy experts, who queried how Google maps could have been used unless some location data had been provided in the patient information files.
The issue of which organisations have acquired medical records has been at the centre of political debate in the past few weeks, following reports that actuaries, pharmaceutical firms, government departments and private health providers had either attempted or obtained patient data.
Patient groups have questioned what safeguards are in place to protect privacy and have called for full disclosure of which organisations have acquired medical records since 2010.
Stephen Dorrell, Tory chairman of the health select committee, has already said he will write to the health secretary, Jeremy Hunt, to request that such information is released.
Last month, NHS England announced it would delay by six months the rollout of its flagship care.data scheme linking GP records and hospital data, amid criticism of how it has run the public information campaign about the project.
The extracted information will contain a person's NHS number, date of birth, postcode, ethnicity and gender. Once live, organisations such as university research departments – but also insurers and drug companies – will be able to apply to the new Health and Social Care Information Centre (HSCIC) to gain access to the care.data database.
However, campaigners said it would be a folly to continue with the project, which envisages firms paying to extract patient information that would be scrubbed of some personal identifiers but not enough to make the information completely anonymous – a process known as "pseudonymisation".
Phil Booth of medConfidential, which campaigns on medical privacy, said every day another instance of "whole population level data being sold emerges which had been previously denied".
He added: "There is no way for the public to tell that this data has left the HSCIC. The government and NHS England must now come completely clean. Anything less than full disclosure would be a complete betrayal of trust."