Richmond, Melbourne: The Startups of Oz

Fawn Fitter

Australia may have a famously relaxed culture, but it’s no slacker when it comes to the digital economy. Since 2015, the government has announced an AU$1.1 billion investment to support innovation, including AU$38 million targeted specifically at incubating small tech firms.

Much of that funding has found its way to Melbourne, Australia’s second-largest city.

Shu Das

Shu Das, director of content at tech community organization Startup Melbourne, says the startup scene there has grown quickly in the last 12 months as local incubators and co-working spaces have received grants and new startups have sprung up all over the city.

Melbourne has already birthed several global successes. Redbubble, a marketplace where artists can sell their work on T-shirts, dresses, scarves, bags, pillows, stickers, phone cases, and more, went public in May 2016 with a market cap of US$288 million. Culture Amp, a platform that lets companies track and tackle workplace morale, has raised US$16.3 million in venture funding since 2011 and counts digital economy companies Uber, Pinterest, Warby Parker, Box, and Etsy among its customers. And Aconex, which makes cloud-based project management software for the construction industry, is a publicly traded company currently valued at US$886 million. Since these companies had their beginnings in Melbourne’s downtown central business district, however, the center of gravity for startup stars has shifted to the Richmond neighborhood, two miles southeast.

Five minutes from downtown by light rail, with a major train station that makes it an easy commute from Melbourne’s southern suburbs, Richmond is the kind of urban area that Das calls “young and stimulating compared to Sydney, which is far more corporate.”

99 Designs

Richmond’s most successful startup to date is 99Designs, reportedly the world’s largest online graphic design marketplace, which has raised US$45 million in venture funding. Although it moved its headquarters to Oakland, California, and has opened offices across Europe, 99Designs still maintains a strong local presence—fitting in a neighborhood where stylish young geeks hunch over their laptops in the hipster cafes scattered along Bridge Road, the main commercial strip.

Richmond is a mélange of styles and uses: the Melbourne Cricket Ground and adjacent Rod Laver Arena (home of the Australian Open tennis championship) sit cheek-by-jowl with modern apartment blocks and shops, Art Deco buildings, and Victorian terraced houses that include some of Melbourne’s oldest homes. Many of the old brick warehouses built in Richmond’s early 20th century manufacturing boom still stand, too. Although some have been converted into pricey loft apartments, others are still used for commerce. In fact, the former Australian Knitting Mills, just down the street from the Richmond train station, now houses Inspire9, Melbourne’s first community-run co-working space. Founded in 2011 for fledgling businesses, it recently expanded to an additional floor, adding Foundry9, an affiliated space for investors and more established startups.

Richmond is ‘young and stimulating, compared to Sydney, which is far more corporate.’ 

– Shu Das, director of content, Startup Melbourne

The city has nearly 150 co-working spaces, more than half of them clustered between Richmond and the central business district. Melbourne is also home to at least three accelerators and nine regular networking events for local startups. There’s even a new mixed-use development, Digital Harbour, which is located in the city’s Docklands area, west of the city center, and designed specifically with tech and new media in mind. It’s reportedly the fastest growing neighborhood—not just in Melbourne but in the entire country.

“It’s an interesting time,” Das says. “Everything’s been happening organically, but now it seems there’s a concerted effort to make things more formalized and official.”

The crowds who throng to community events like Startup Grind and Silicon Beach “Drinks & Pitch Night,” both monthly, suggest that the growth is going to continue. The government of the State of Victoria, of which Melbourne is the capital, will likely add to the mix: 400 companies have applied so far to receive AU$60 million in state investment funds for new companies.

The state has also provided Startup Victoria (the statewide tech industry group) with funding to map the true extent of the local startup ecosystem. The effort aims to count everything, from established startups with funding and market recognition to one-person ventures headquartered at kitchen tables and in coffee shops.

Once the community begins to grasp its own size and influence, expect to see a wave of growth: more partnerships, more investment, and more ambitious entrepreneurs making their
way in a city where they can press forward—while remaining laid-back. D!

Where to eat:

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Scopri High End Italian

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Noir Contemporary French

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Minamishima Omakase (chef’s choice) Sushi

Where to stay:

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Park Hyatt Melbourne

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 The Hotel Windsor

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The Lyall

Read more thought provoking articles in the latest issue of the Digitalist Magazine, Executive Quarterly.

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Fawn Fitter

About Fawn Fitter

Ever since discovering the fledgling Internet in the early 1990s, Fawn Fitter has been fascinated by the places where business and technology intersect. She’s spent 15 years in San Francisco, watching the ebbs and flows of the digital economy and writing for magazines, including Entrepreneur and Fortune Small Business.

Integrated Cloud And Analytic Solutions Are Driving IoT Adoption Rates

David Parrish

The Internet of Things (IoT) offers enormous potential for discrete manufacturers. It can drive more top-line revenue by enabling new, differentiated products and services. It can also reduce bottom-line costs by streamlining production and predictive maintenance through asset optimization and inventory optimization. And, IoT can lower maintenance costs by up to 60% and inventory costs by up to 50% thanks to optimization.

Manufacturing operations spent $102.5 billion on IoT in 2016. But despite this significant investment, many discrete manufacturers are not sure how to bring all these different pieces together into a single platform. Integrated cloud and analytic solutions are solving this problem.

Integrated cloud and analytic solution benefits for manufacturing companies

By connecting things with people and processes, integrated cloud and analytic solutions empower Live Business in four important ways:

  1. Live insights – An integrated IoT network combines data retrieved via sensors with contextual information to deliver live, actionable insights.
  1. Future forward – Putting predictive analytics on top of this information enables businesses not only to analyze current and historical data but also to “consider the future.” Fully integrated IoT can predict future opportunities and recommend concrete actions your company can take to capitalize on these opportunities.
  1. Process optimization – More value is generated through IoT by optimizing business processes and leveraging insights provided by data from physical things. Process optimization typically results in cost savings and shorter processing times.
  1. New business models – Companies can efficiently run new business models that would not have been possible before. This includes usage-based pricing and Technology-as-a-Service (TaaS).

How integrated IoT solutions serve products, assets, and fleets

Technology investments, most notably in IoT, are critical components of digital transformation. These investments connect products, assets, and fleets.

  • Connected products – Also known as “smart products,” connected products are strategic priorities for industrial manufacturers as they enable new service-based business models and provide the opportunity to make aftermarket service far more efficient. Integrated cloud and analytic solutions make it possible for manufacturers and operators to leverage sensor data. For example, research and development teams can utilize data using digital twins of connected products from sensors and other Big Data sources. R&D can then use this data to support the development of more reliable and desirable products. This includes adding features to meet specific customer needs while eliminating unused or undesired features that are expensive to include and offer minimal customer benefit.
  • Connected assets – As companies move from a reactive to a proactive approach to maintenance, an end-to-end solution for predictive maintenance and a service to identify and resolve issues before they happen are critical. This service must span from condition monitoring and the identification of emerging issues via machine learning to procuring spare parts, scheduling, and executing service and maintenance. Connected assets meet these needs, enabling manufacturing companies to connect, monitor, and analyze customers’ assets as well as their own.
  • Connected fleets – By enabling connected fleets, you can track, monitor, analyze, and maintain all moving assets, wherever they are in the network. Connected fleets enable manufacturing companies with fleets of moving assets, like vehicles or forklifts, to collect live telemetry and sensor data. IoT can collect, map, store, and analyze fleet and vehicle data in real time through the integration of telematics, enterprise, and customer data. This data is then integrated into the core business processes to improve services and safety for operators, improve visibility to logistics, and provide better services for end customers.

Selecting the right integration option for your company

While analysts foresee a huge monetary potential through the IoT for manufacturers, companies are struggling to derive a firm strategy. With so many different options, it can be difficult to know where to begin. Implementing IoT does not start with technology. Companies must first clarify their core value chain and assess enterprise-wide options for value optimization through new business scenarios.

Your company should consider, for example, how connected manufacturing and predictive quality could minimize production costs. How could remote monitoring and predictive maintenance service agreements create new, aftermarket revenue streams? Finally, how could connected logistics ensure your company knows where everything stands in its supply chain, reducing safety stocks and minimizing costs? Once your company has answered these questions, your business can begin to consider platform partnerships.

Learn how to innovate at scale by incorporating individual innovations back to the core business to drive tangible business value by reading “Accelerating Digital Transformation in Industrial Machinery and Components.” Explore how to bring Industry 4.0 insights into your business today by reading “Industry 4.0: What’s Next?

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David Parrish

About David Parrish

David Parrish is the senior global director of Industrial Machinery & Components Solutions Marketing for SAP. Before joining SAP, he held various product and industry marketing positions with J.D. Edwards, PeopleSoft, and QAD going back to 1999.

Ready or Not, Here It (Rev Rec Standard) Comes

David McCann

The first financial statements required to present revenue calculated under the new revenue recognition standard will begin appearing in April.

That doesn’t mean, though, that all companies are “ready” to do so. That’s according to someone who is decidedly in the know: Christoph Hütten, chief accounting officer for the mammoth, Germany-based business software firm SAP.

Hütten played a key role in the development of the new international revenue recognition standard, IFRS 15 (which is nearly identical to the new ASC 606 under U.S. GAAP).

He served from 2009 to 2014 on the IFRS Advisory Council for the International Accounting Standards Board. During that time period, IASB issued two exposure drafts of the new standard and published the final rule. For the past four years, Hütten has been part of the Joint Transition Resource Group for Revenue Recognition, formed by the U.S. and international standard setters after the standard’s 2014 publication to answer questions and clarify uncertainties around its application.

Asked to characterize companies’ overall readiness to effectively deal with the standard, Hütten laughs. “I’ve had this conversation a few times before,” he says.

Answering the question is a matter of how one defines readiness, he notes. “Is a company ready to produce a revenue number, through manual processes and using thousands of Excel spreadsheets, that is materially correct for one fiscal quarter? Or is the company ready only when it can say it has a stable, sustainable process with much less manual effort?” [Editor’s note: SAP sells software that includes functionality for automating revenue-recognition processes.]

Most companies, Hütten adds, are ready to produce a revenue number for the first quarter. But a majority of those are using what he describes as “interim processes.”

Lots of companies have gone for a two-step approach, he says, setting new accounting policies first and then later applying automation to improve and stabilize processes.

Misjudging the complexity?

In the software industry, a majority of vendors, including SAP, today derive most or all of their revenue from customer contracts. Such contracts are what the new revenue recognition standards apply to. However, even in the software field, readiness for the new standard is a bit spotty, according to Hütten.

“Most [software] companies I’ve talked to are finished analyzing their most typical deal structures,” he says. “But we all know there’s not a high level of deal standardization in the software industry. There are lots of scenarios that don’t happen frequently, and I think companies will take a ‘cross that bridge when we come to it’ approach.”

Still, software firms do tend to be ahead of other companies when it comes to dealing with the revenue recognition standard.

“I see a lot of [non-software] companies underestimating it,” says Hütten. “They don’t see a big issue for revenue on the face of their income statement. But at some point, somebody will be looking at the very detailed disclosures that are required and realize they’re not prepared to make them.”

For that reason, Hütten advises companies not to judge the new standard’s importance by its impact on the revenue line in the income statement.

Also, he counsels, even companies that take the two-step approach described above should not delay implementing automation longer than necessary. Complying with the standard requires complex accounting with regard to, for example, the allocation of fees among the various deliverables stipulated in customer contracts, he notes.

“I fully understand climbing the accounting hurdle first,” Hütten says. “But I can only tell those companies not to think, ‘oh, we did OK manually for the first  quarter, so that will be sufficient for further quarters.’ That’s risky, especially if you have complicated customer contracts.”

Errors in financial statements could, of course, lead to companies having to file restated financials, which normally don’t sit well with investors. In the United States, if errors are egregious enough a company could be forced to admit a material weakness in controls over its revenue processes, under Section 404 of the Sarbanes-Oxley Act.

This article originally appeared on CFO.com and is republished by permission.

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David McCann

About David McCann

David McCann is deputy editor at CFO magazine and CFO.com.

Hack the CIO

By Thomas Saueressig, Timo Elliott, Sam Yen, and Bennett Voyles

For nerds, the weeks right before finals are a Cinderella moment. Suddenly they’re stars. Pocket protectors are fashionable; people find their jokes a whole lot funnier; Dungeons & Dragons sounds cool.

Many CIOs are enjoying this kind of moment now, as companies everywhere face the business equivalent of a final exam for a vital class they have managed to mostly avoid so far: digital transformation.

But as always, there is a limit to nerdy magic. No matter how helpful CIOs try to be, their classmates still won’t pass if they don’t learn the material. With IT increasingly central to every business—from the customer experience to the offering to the business model itself—we all need to start thinking like CIOs.

Pass the digital transformation exam, and you probably have a bright future ahead. A recent SAP-Oxford Economics study of 3,100 organizations in a variety of industries across 17 countries found that the companies that have taken the lead in digital transformation earn higher profits and revenues and have more competitive differentiation than their peers. They also expect 23% more revenue growth from their digital initiatives over the next two years—an estimate 2.5 to 4 times larger than the average company’s.

But the market is grading on a steep curve: this same SAP-Oxford study found that only 3% have completed some degree of digital transformation across their organization. Other surveys also suggest that most companies won’t be graduating anytime soon: in one recent survey of 450 heads of digital transformation for enterprises in the United States, United Kingdom, France, and Germany by technology company Couchbase, 90% agreed that most digital projects fail to meet expectations and deliver only incremental improvements. Worse: over half (54%) believe that organizations that don’t succeed with their transformation project will fail or be absorbed by a savvier competitor within four years.

Companies that are making the grade understand that unlike earlier technical advances, digital transformation doesn’t just support the business, it’s the future of the business. That’s why 60% of digital leading companies have entrusted the leadership of their transformation to their CIO, and that’s why experts say businesspeople must do more than have a vague understanding of the technology. They must also master a way of thinking and looking at business challenges that is unfamiliar to most people outside the IT department.

In other words, if you don’t think like a CIO yet, now is a very good time to learn.

However, given that you probably don’t have a spare 15 years to learn what your CIO knows, we asked the experts what makes CIO thinking distinctive. Here are the top eight mind hacks.

1. Think in Systems

A lot of businesspeople are used to seeing their organization as a series of loosely joined silos. But in the world of digital business, everything is part of a larger system.

CIOs have known for a long time that smart processes win. Whether they were installing enterprise resource planning systems or working with the business to imagine the customer’s journey, they always had to think in holistic ways that crossed traditional departmental, functional, and operational boundaries.

Unlike other business leaders, CIOs spend their careers looking across systems. Why did our supply chain go down? How can we support this new business initiative beyond a single department or function? Now supported by end-to-end process methodologies such as design thinking, good CIOs have developed a way of looking at the company that can lead to radical simplifications that can reduce cost and improve performance at the same time.

They are also used to thinking beyond temporal boundaries. “This idea that the power of technology doubles every two years means that as you’re planning ahead you can’t think in terms of a linear process, you have to think in terms of huge jumps,” says Jay Ferro, CIO of TransPerfect, a New York–based global translation firm.

No wonder the SAP-Oxford transformation study found that one of the values transformational leaders shared was a tendency to look beyond silos and view the digital transformation as a company-wide initiative.

This will come in handy because in digital transformation, not only do business processes evolve but the company’s entire value proposition changes, says Jeanne Ross, principal research scientist at the Center for Information Systems Research at the Massachusetts Institute of Technology (MIT). “It either already has or it’s going to, because digital technologies make things possible that weren’t possible before,” she explains.

2. Work in Diverse Teams

When it comes to large projects, CIOs have always needed input from a diverse collection of businesspeople to be successful. The best have developed ways to convince and cajole reluctant participants to come to the table. They seek out technology enthusiasts in the business and those who are respected by their peers to help build passion and commitment among the halfhearted.

Digital transformation amps up the urgency for building diverse teams even further. “A small, focused group simply won’t have the same breadth of perspective as a team that includes a salesperson and a service person and a development person, as well as an IT person,” says Ross.

At Lenovo, the global technology giant, many of these cross-functional teams become so used to working together that it’s hard to tell where each member originally belonged: “You can’t tell who is business or IT; you can’t tell who is product, IT, or design,” says the company’s CIO, Arthur Hu.

One interesting corollary of this trend toward broader teamwork is that talent is a priority among digital leaders: they spend more on training their employees and partners than ordinary companies, as well as on hiring the people they need, according to the SAP-Oxford Economics survey. They’re also already being rewarded for their faith in their teams: 71% of leaders say that their successful digital transformation has made it easier for them to attract and retain talent, and 64% say that their employees are now more engaged than they were before the transformation.

3. Become a Consultant

Good CIOs have long needed to be internal consultants to the business. Ever since technology moved out of the glasshouse and onto employees’ desks, CIOs have not only needed a deep understanding of the goals of a given project but also to make sure that the project didn’t stray from those goals, even after the businesspeople who had ordered the project went back to their day jobs. “Businesspeople didn’t really need to get into the details of what IT was really doing,” recalls Ferro. “They just had a set of demands and said, ‘Hey, IT, go do that.’”

Now software has become so integral to the business that nobody can afford to walk away. Businesspeople must join the ranks of the IT consultants.

But that was then. Now software has become so integral to the business that nobody can afford to walk away. Businesspeople must join the ranks of the IT consultants. “If you’re building a house, you don’t just disappear for six months and come back and go, ‘Oh, it looks pretty good,’” says Ferro. “You’re on that work site constantly and all of a sudden you’re looking at something, going, ‘Well, that looked really good on the blueprint, not sure it makes sense in reality. Let’s move that over six feet.’ Or, ‘I don’t know if I like that anymore.’ It’s really not much different in application development or for IT or technical projects, where on paper it looked really good and three weeks in, in that second sprint, you’re going, ‘Oh, now that I look at it, that’s really stupid.’”

4. Learn Horizontal Leadership

CIOs have always needed the ability to educate and influence other leaders that they don’t directly control. For major IT projects to be successful, they need other leaders to contribute budget, time, and resources from multiple areas of the business.

It’s a kind of horizontal leadership that will become critical for businesspeople to acquire in digital transformation. “The leadership role becomes one much more of coaching others across the organization—encouraging people to be creative, making sure everybody knows how to use data well,” Ross says.

In this team-based environment, having all the answers becomes less important. “It used to be that the best business executives and leaders had the best answers. Today that is no longer the case,” observes Gary Cokins, a technology consultant who focuses on analytics-based performance management. “Increasingly, it’s the executives and leaders who ask the best questions. There is too much volatility and uncertainty for them to rely on their intuition or past experiences.”

Many experts expect this trend to continue as the confluence of automation and data keeps chipping away at the organizational pyramid. “Hierarchical, command-and-control leadership will become obsolete,” says Edward Hess, professor of business administration and Batten executive-in-residence at the Darden School of Business at the University of Virginia. “Flatter, distributive leadership via teams will become the dominant structure.”

5. Understand Process Design

When business processes were simpler, IT could analyze the process and improve it without input from the business. But today many processes are triggered on the fly by the customer, making a seamless customer experience more difficult to build without the benefit of a larger, multifunctional team. In a highly digitalized organization like Amazon, which releases thousands of new software programs each year, IT can no longer do it all.

While businesspeople aren’t expected to start coding, their involvement in process design is crucial. One of the techniques that many organizations have adopted to help IT and businesspeople visualize business processes together is design thinking (for more on design thinking techniques, see “A Cult of Creation“).

Customers aren’t the only ones who benefit from better processes. Among the 100 companies the SAP-Oxford Economics researchers have identified as digital leaders, two-thirds say that they are making their employees’ lives easier by eliminating process roadblocks that interfere with their ability to do their jobs. Ninety percent of leaders surveyed expect to see value from these projects in the next two years alone.

6. Learn to Keep Learning

The ability to learn and keep learning has been a part of IT from the start. Since the first mainframes in the 1950s, technologists have understood that they need to keep reinventing themselves and their skills to adapt to the changes around them.

Now that’s starting to become part of other job descriptions too. Many companies are investing in teaching their employees new digital skills. One South American auto products company, for example, has created a custom-education institute that trained 20,000 employees and partner-employees in 2016. In addition to training current staff, many leading digital companies are also hiring new employees and creating new roles, such as a chief robotics officer, to support their digital transformation efforts.

Nicolas van Zeebroeck, professor of information systems and digital business innovation at the Solvay Brussels School of Economics and Management at the Free University of Brussels, says that he expects the ability to learn quickly will remain crucial. “If I had to think of one critical skill,” he explains, “I would have to say it’s the ability to learn and keep learning—the ability to challenge the status quo and question what you take for granted.”

7. Fail Smarter

Traditionally, CIOs tended to be good at thinking through tests that would allow the company to experiment with new technology without risking the entire network.

This is another unfamiliar skill that smart managers are trying to pick up. “There’s a lot of trial and error in the best companies right now,” notes MIT’s Ross. But there’s a catch, she adds. “Most companies aren’t designed for trial and error—they’re trying to avoid an error,” she says.

To learn how to do it better, take your lead from IT, where many people have already learned to work in small, innovative teams that use agile development principles, advises Ross.

For example, business managers must learn how to think in terms of a minimum viable product: build a simple version of what you have in mind, test it, and if it works start building. You don’t build the whole thing at once anymore.… It’s really important to build things incrementally,” Ross says.

Flexibility and the ability to capitalize on accidental discoveries during experimentation are more important than having a concrete project plan, says Ross. At Spotify, the music service, and CarMax, the used-car retailer, change is driven not from the center but from small teams that have developed something new. “The thing you have to get comfortable with is not having the formalized plan that we would have traditionally relied on, because as soon as you insist on that, you limit your ability to keep learning,” Ross warns.

8. Understand the True Cost—and Speed—of Data

Gut instincts have never had much to do with being a CIO; now they should have less to do with being an ordinary manager as well, as data becomes more important.

As part of that calculation, businesspeople must have the ability to analyze the value of the data that they seek. “You’ll need to apply a pinch of knowledge salt to your data,” advises Solvay’s van Zeebroeck. “What really matters is the ability not just to tap into data but to see what is behind the data. Is it a fair representation? Is it impartial?”

Increasingly, businesspeople will need to do their analysis in real time, just as CIOs have always had to manage live systems and processes. Moving toward real-time reports and away from paper-based decisions increases accuracy and effectiveness—and leaves less time for long meetings and PowerPoint presentations (let us all rejoice).

Not Every CIO Is Ready

Of course, not all CIOs are ready for these changes. Just as high school has a lot of false positives—genius nerds who turn out to be merely nearsighted—so there are many CIOs who aren’t good role models for transformation.

Success as a CIO these days requires more than delivering near-perfect uptime, says Lenovo’s Hu. You need to be able to understand the business as well. Some CIOs simply don’t have all the business skills that are needed to succeed in the transformation. Others lack the internal clout: a 2016 KPMG study found that only 34% of CIOs report directly to the CEO.

This lack of a strategic perspective is holding back digital transformation at many organizations. They approach digital transformation as a cool, one-off project: we’re going to put this new mobile app in place and we’re done. But that’s not a systematic approach; it’s an island of innovation that doesn’t join up with the other islands of innovation. In the longer term, this kind of development creates more problems than it fixes.

Such organizations are not building in the capacity for change; they’re trying to get away with just doing it once rather than thinking about how they’re going to use digitalization as a means to constantly experiment and become a better company over the long term.

As a result, in some companies, the most interesting tech developments are happening despite IT, not because of it. “There’s an alarming digital divide within many companies. Marketers are developing nimble software to give customers an engaging, personalized experience, while IT departments remain focused on the legacy infrastructure. The front and back ends aren’t working together, resulting in appealing web sites and apps that don’t quite deliver,” writes George Colony, founder, chairman, and CEO of Forrester Research, in the MIT Sloan Management Review.

Thanks to cloud computing and easier development tools, many departments are developing on their own, without IT’s support. These days, anybody with a credit card can do it.

Traditionally, IT departments looked askance at these kinds of do-it-yourself shadow IT programs, but that’s changing. Ferro, for one, says that it’s better to look at those teams not as rogue groups but as people who are trying to help. “It’s less about ‘Hey, something’s escaped,’ and more about ‘No, we just actually grew our capacity and grew our ability to innovate,’” he explains.

“I don’t like the term ‘shadow IT,’” agrees Lenovo’s Hu. “I think it’s an artifact of a very traditional CIO team. If you think of it as shadow IT, you’re out of step with reality,” he says.

The reality today is that a company needs both a strong IT department and strong digital capacities outside its IT department. If the relationship is good, the CIO and IT become valuable allies in helping businesspeople add digital capabilities without disrupting or duplicating existing IT infrastructure.

If a company already has strong digital capacities, it should be able to move forward quickly, according to Ross. But many companies are still playing catch-up and aren’t even ready to begin transforming, as the SAP-Oxford Economics survey shows.

For enterprises where business and IT are unable to get their collective act together, Ross predicts that the next few years will be rough. “I think these companies ought to panic,” she says. D!


About the Authors

Thomas Saueressig is Chief Information Officer at SAP.

Timo Elliott is an Innovation Evangelist at SAP.

Sam Yen is Chief Design Officer at SAP and Managing Director of SAP Labs.

Bennett Voyles is a Berlin-based business writer.

Read more thought provoking articles in the latest issue of the Digitalist Magazine, Executive Quarterly.
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Cloud Computing: Separating Myth From Reality

Misa Rawlins and Krishnakant Dave

Across industries, many enterprise leaders believe and understand that cloud computing is here to stay. Globally, public cloud services market revenue is projected to reach US$411 billion by 2020, compared with $260 billion in 2017, according to research firm Gartner, Inc. Cloud technology in all its forms—software, platform, or infrastructure as a service—is rapidly becoming essential to the needs of business today. With cloud computing, organizations can simplify IT, save costs, scale rapidly, drive standardization and user adoption, and start getting ahead of tomorrow’s needs when it comes to customer engagement, the supply chain, the workforce, a simplified finance function, and more.

Despite the short- and long-term advantages, some executives remain uncertain about the next steps or have lingering questions about the benefits of moving to the cloud. For many leaders, separating the cloud myths from the facts can prove daunting. Start here, with these insights that can help you bust big myths about the cloud and start moving confidently toward a cloud-enabled transformation of your organization.

Myth No. 1: Moving to the cloud is too costly. “Costly” is a relative term. The cloud can be costly – but costs should be weighed against benefit and return once requirements and migration plans are in place. Rapidly evolving business demands, for example, can dramatically alter cloud-related requirements. Meanwhile, new technologies are dramatically redefining the art of the possible with the cloud. Because migrating to the cloud is not a true “plug-and-play” proposition, and many enterprise leaders underestimate what a migration or implementation involves, some organizations can be surprised by the costs of a cloud transformation. Without a clear understanding of the potential benefits—without a clear business case for moving to the cloud—the focus on costs can overshadow the return on investment. Knowing the value that cloud solutions can bring—not just the costs—can help manage expectations.

Myth No. 2: The benefits of the cloud aren’t substantial enough. As vendors adopt a “cloud-first” stance for many solutions and product updates, organizations that move to the cloud may have a competitive advantage—no matter the size of the enterprise. Cloud solutions continue to offer abundant and increasing functionality. And with the help of an end-to-end solution provider, you can configure cloud solutions to the specific needs of your industry and your business. For larger organizations, rapidly deployable cloud solutions can help support growth or the unique needs of certain business units, such as new acquisitions or foreign subsidiaries, for example. For smaller organizations, the cloud can help you position your organization to tap new opportunities and tame growth challenges.

Myth No. 3: Cloud is too risky. All digital technologies and all business models come with inherent risk. In a hyperconnected world, no system is immune from cyber attacks, insider threats, data leakage, or related risks. No transformation project is a guaranteed success. Market changes, new competition, regulatory issues, and other factors can require you to change your cloud strategy overnight.

Because the risks are real, take advantage of resources and capabilities that can help reduce risk and ensure that your technology investments align tightly with clear business objectives. The maturity of the software goes a long way toward mitigating risk with cloud projects. You can add an extra layer of capabilities such as managed cloud services to provide active, hands-on oversight of cloud applications and infrastructure—helping you to avoid service interruptions and address issues proactively.

Myth No. 4: Cloud computing is still an immature technology. Like other evolving technologies, cloud is advancing every day. Those who wait for the next generation of cloud offerings may find themselves missing out on tangible benefits as competitors leverage cloud technology to sharpen their edge. Across industries, leading organizations are not waiting. Many view cloud technology as evolving but necessary, and they are leveraging it effectively today. Some, for example, are tightly integrating cloud software solutions to streamline supply chain processes, boost information transparency, and improve decision-making across the board—all the while tapping the cloud benefits of cost savings and scalability. Others are confidently turning to infrastructure solutions delivered and running solutions in a private or hybrid cloud. Still others are turning to cloud platform solutions to extend the power of existing applications, build modern analytics platforms, or support new Internet of Things business models. Turning the cloud to your advantage may depend less on the maturity of the technology and more on the power of your imagination.

Myth No. 5: Moving to the cloud will be easy. Cloud technology can help organizations streamline and simplify their IT landscapes and their business processes, reducing needs around capital expenses and infrastructure while helping to save costs. But migrating to the cloud requires more than simply plugging in technology. It requires an ability to address a host of considerations—data migration, the business-specific capabilities of solutions, change management, governance, systems integration, security, and more.

A cloud transformation is more than a plug-and-play project or a traditional system implementation. It requires progressive thinking and an ability to align technology with your business needs and processes— for today and for the future. Migrating to the cloud is a journey. Moving forward with the cloud will require a vision of your “to be” state—your destination—as well as a strategy for getting you there.

To learn more, and to find out what IDC thinks about the future of the cloud, please read this study that presents a strategic blueprint for enterprises on their digital transformation journey.

For more information on how to simplify innovation with cloud technology, learn more about SAP Cloud Platform.

Ready to reimagine the potential of the cloud? Contact us to get the conversation started.

Contact Krishnakant Dave at kdave@deloitte.com and follow him on Twitter: @kkdave

Contact Misa Rawlins at mrawlins@deloitte.com and follow her on Twitter: @misa_rawlins

www.deloitte.com/SAP

SAP@deloitte.com

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This article originally appeared on Deloitte.com and is republished by permission.

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Misa Rawlins

About Misa Rawlins

As a senior manager and consultant in Deloitte’s SAP practice, Misa Rawlins enjoys helping her clients not only to figure out how to solve their current business problems, but also to envision how a modern cloud platform can transform their organizations moving ahead. Within the practice, she has specifically chosen to take a leadership role around the sales and delivery of SAP S/4HANA Cloud because she considers it the wave of the future. She has made it her mission to deeply understand this technology to better advise clients on what moving to a cloud infrastructure really means.

Krishnakant Dave

About Krishnakant Dave

As a principal in Deloitte’s global SAP practice, KK Dave is a consulting leader for Deloitte’s largest clients; part of the U.S. SAP leadership team where he spearheads Deloitte's cloud offerings; and leader of global go-to-market efforts in the wholesale distribution and manufacturing sector. In these roles, he assists clients in their business transformation journeys using the absolute latest SAP toolset, which presently comprises SAP S/4HANA, SAP Cloud Platform, and SAP S/4HANA Cloud, among other technologies.