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The (R)evolution of PLM, Part 3: Using Digital Twins Throughout The Product Lifecycle

John McNiff

In Part 1 of this series we explored why manufacturers must embrace “live” PLM. In Part 2 we examined the new dimensions of a product-centric enterprise. In Part 3 we look at the role of digital twins.

It’s time to start using digital twins throughout the product lifecycle. In fact, to compete in the digital economy, manufacturers will need to achieve a truly product-centric enterprise in which digital twins guide not only engineering and maintenance, but every business-critical function, from procurement to HR.

Why is this necessary? Because product lifecycles are shrinking. Companies are managing ever-growing streams of data. And customers are demanding product individualization. The only way for manufacturers to respond is to use digital twins to place the product – the highly configurable, endlessly customizable, increasingly connected product – at the center of their operations.

Double the insight

Digital twins are virtual representations of a real-world products or assets. They’re a Top 10 strategic trend for 2017, according to Gartner. And they’re part of a broader digital transformation in which IDC says companies will invest $2.1 trillion a year by 2019.

Digital twins aren’t a new concept, but their application throughout the product lifecycle is. Here are key ways smart manufacturers will leverage digital twins – and achieve a product-centric and model-based enterprise – across operations:

Design and engineering: Traditionally, digital twins have been used by design and engineering to create virtual representations for designing and enhancing products. In this application, the digital twin actually exists before its physical counterpart does, essentially starting out as a vision of what the product should be. But you can also capture data on in-the-field product use and apply that to the digital twin for continuous product improvement.

Maintenance and service: Today, the most common use case for digital twins is maintenance and service. By creating a virtual representation of an asset in the field using lightweight model visualization, and then capturing data from smart sensors embedded in the asset, you can gain a complete picture of real-world performance and operating conditions. You can also simulate that real-world environment for predictive maintenance. Let’s say you manufacture wind turbines. You can capture data on rotor speed, wind speed, operating temperature, ambient temperature, humidity, and so on to understand and predict product performance. By doing so, you can schedule maintenance before a crucial part breaks – optimizing uptime and saving time and cost for a repair.

Quality control: Just as digital twins can help with maintenance and service, they can predictively improve quality during manufacturing. You can also use digital twins to compare quality data across multiple products to better understand global quality issues and quickly visualize issues against the model. And you can apply data collected by maintenance and service to achieve ongoing quality improvements.

Customization: As products become more customizable, digital twins will allow design and engineering to model the various permutations. But digital twins can also incorporate customer demand and usage data to enhance customization options. That sounds obvious, but in the past it was very difficult to incorporate customer input into the manufacturing process. Let’s say you sell high-end custom bikes. You might allow customers to choose different colors, wheels, and other details. By capturing customer preferences in the digital twin, you can get a picture of customer demand. And by capturing customer usage data, you can understand how custom configurations affect product performance. So you can offer the most reliable options or allow customers to configure your products based on performance attributes. You can also visualize lightweight representations of the twin without the burden of heavyweight design systems and parameters.

Finance and procurement: In our custom-configured bike example, different configurations involve different costs. And those different costs involve not only the cost of the various components, but also the cost for assembling the various configurations. By capturing sales data in the digital twin, you can understand which configurations are being ordered and how configuration-specific revenues compare to the cost to build each configuration. What’s more, you can link that data with supplier information. That will help you understand which suppliers contribute to product configurations that perform well in the field. It also can help you identify opportunities to cost-effectively rid yourself of excess supply.

Sales and marketing: The digital twin can also inform sales and marketing. For instance, you can use the digital twin to populate an online product configurator and e-commerce website. That way you can be sure what you’re selling is always tied directly to what you’re engineering in the design studio and what you’re servicing in the field.

Human resources: The digital twin can even extend into HR. For example, you can use the digital twin to understand training and certification needs and be sure the right people are trained on the right product features.

One twin, many views

Digital twins should underlie all manufacturing operations. Ideally you should have a single set of digital twin master data that resides in a central location. That will give you one version of the truth, and with “in-memory” computing-based networks plus a lightweight, change-controlled model capability, you’ll be able to analyze and visualize that data rapidly.

But not all business functions care about the entire data set. You need to deliver the right data to the right people at the right time. Design and engineering requires one set of data, with every specification and tolerance needed to create and continuously improve the product. Sales and marketing requires another set of data, with the features and functions customers can select. And so on.

Ultimately, as the digital product innovation platform extends the dimensions of traditional PLM, at the heart of PLM is an extended version of the digital twin. In future blogs we’ll talk about how you can leverage the latest-generation platform from SAP, based on SAP S/4HANA and SAP’s platform for the Internet of Everything, to achieve a live, visual, and intelligent product-centric enterprise.

Learn how a live supply chain can help your business, visit us at SAP.com.

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John McNiff

About John McNiff

John McNiff is the Vice President of Solution Management for the R&D/Engineering line-of-business business unit at SAP. John has held a number of sales and business development roles at SAP, focused on the manufacturing and engineering topics.

China Leads On Mobile Wallets — Will Others Follow?

Tom Groenfeldt

Mobile wallets have taken off faster in China than in the U.S., concluded a recent Forrester Research study. It found that 76% of metro Chinese consumers use mobile wallets or are interested in doing so, compared with only 36% of the urban online U.S. population.

The past influences the future, and as a fast-developing country, China has not had the payments infrastructure and regulatory legacy that developed in the U.S., said Brendan Miller, a principal analyst at Forrester.

“Incumbency is a factor. We have the highest penetration and usage of credit cards in the world, plus high debit card usage. As you go into other countries you will find they have alternative or local payment options, so consumers are used to using these methods like direct debit from a checking account and they avoid a lot of the credit card and interchange fees we have.”

Asia has smart cities and well-developed networks that are simpler than those in the U.S., where multiple levels of government make integration of payments and services more complicated.

Asia’s mobile wallet providers have the potential to gain the understanding of customers that department stores used to enjoy before the big brands replaced many store cards. “Nordstrom,  Kohl’s, Macy’s, Sears — all those retailers had their own private label credit cards for years and years,” Miller noted. “They provided a way of getting a better understanding of what consumers were buying, and a way to avoid credit card and debit interchange fees.”

The rise of Alipay and WeChat in China has been driven by the value the services provide for consumers. “First they made it super convenient for consumers to buy, and then they layered on additional services that consumers found engaging, such as gamification and the idea of sending gifts on the Chinese New Year — red envelopes — that got people engaged with the system.”

In the U.S., payments systems have made it convenient, but that’s the lowest rung on the ladder, Miller added. “Mobile wallet providers will have to up their game.”

Mobile payments with NFC have the potential to be faster than EMV, which Forrester expected would drive mobile payments. Miller said that when he presented to a group of retailers last year, they told him that hasn’t been the case. “Retailers haven’t updated their terminal logic. So when you pay with NFC you should be able to tap and have transaction process immediately. Instead, I get prompted for my debit PIN or a signature because the POS is using the old terminal logic and not running NFC.”

If a buyer provides a thumb scan in Apply Pay, no additional identification should be needed. “But it is going to take a while for retailers to reprogram those terminals to improve the flow at checkout.”

Retailers have been preoccupied with getting EMV to work right that they haven’t focused on the user experience with NFC, he added. “Right now NFC is not that much more convenient, and meanwhile EMV is getting faster. Visa and Microsoft have done a lot to speed those up.”

The Forrester study predicted mainstream mobile wallets in the U.S. will add customer engagement features. The Chinese may provide some examples.

Miller said that Alipay has made some announcements of partnerships with American payment processors, primarily with a focus on targeting Chinese consumers within the U.S., such as pushing adoption in place where Chinese consumers visit. The Chinese payment companies may have the potential to reach beyond the Chinese markets, he said, but the attitudes of U.S. consumers will be different from the Chinese. “This is all harder that anyone thinks is it. Everyone is disappointed by Apple Pay or Android Pay adoption. This is going to take time; payments is hard to do.”

Consumers won’t bother with mobile wallets until they see some extra value beyond what cards or cash can offer, like the ability to order ahead at Starbucks or Dunkin Donuts, or get recommendations or coupons while shopping. Alipay and WeChat have evolved into lifestyle platforms for Chinese consumers. Miller predicts space will open in the U.S. for third-party providers like Apple, Facebook, and Google that could merge their other customer engagement tools with a mobile wallet.

For more on this topic, see Survey: Mobile Payments Can Boost Growth And Profitability.

Twitter @tomgroenfeldt

Image: AP

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Oxford Economics Research: Leading CFOs Have Become Real-Time Guides For The Entire Company

Neil Krefsky

The interim results from the latest Oxford Economics global survey of CFOs and finance executives are just in. With over 750 already interviewed – and another 750 to be interviewed in the coming weeks – one thing is crystal clear: Top CFOs are leading in the boardroom. They have become real-time guides that drive business strategy across the enterprise. But there is a big difference between leaders and laggards: The top CFOs use pioneering technology and Big Data to collaborate effectively with every function in the business and deliver the operational and strategic insights they need to be successful.

Finance has arrived

At nearly all the companies around the world responding to the survey, finance executives are involved in strategic decision-making outside finance, and over three-quarters of respondents agree that the finance function’s influence and activity is growing. The change, which has been talked about for so many years, has definitely happened and is widely accepted as a mainstream responsibility of the finance team.

Leading CFOs today are influencing major business decisions. The majority report that they have final decision-making authority or a high degree of influence over activities such as changes in the business model, entering new markets, new business partnerships, and technology investments.

And, as you would expect, optimizing risk and compliance management and optimizing working capital are closely tied as the top business goals for CFOs around the world. But, perhaps unexpectedly, driving strategic growth initiatives comes in second. Finance has truly moved from being an historic advisor to being a real-time guide.

Collaboration and data management

However, it isn’t all clear sailing. It’s clear that there is a big gap between those CFOs who are excelling at guiding their companies’ future strategy and those that are lagging behind. And the areas where this is most noticeable are collaboration and data management.

While finance departments have high levels of collaboration with risk management, compliance, internal audit, and operations, their collaborations with sales, HR, supply chain, sales, design/R&D, manufacturing, and customer services are considerably lower. However, where collaboration is occurring, two-thirds or more of respondents say it is effective.

At the same time, nearly all respondents cite increasing amounts of data as adding more complexity to the finance function, which is more than the number who point to regulatory compliance or new skill requirements.

Interestingly, those who can address the complexity of data management seem to excel at breaking down the traditional barriers and collaborating with other functions in the company.

Technology is really the only way of overcoming the challenge of data complexity and turning it into an enabling strength. This is borne out in the survey, with more than a third mentioning outdated technology as their biggest obstacle to achieving their business goals, and another third blaming lack of skills. A quarter cited manual processes.

By contrast, nearly all respondents rated Big Data, real-time analytics, and predictive analytics as being important for the finance function’s successful performance in two years’ time. In addition, training and technology were the top two activities respondents see as promoting collaboration between the finance function and other business units. And more than half are intent on providing better business analytics.

Discover what it takes to be a leader

The final research will be available in the next few weeks. By registering below for your complimentary copy, you can discover what leading finance executives have done to separate themselves from the rest of the pack and how you can become one of them.

  • Learn why improving collaboration with other functions is a priority
  • Understand where CFOs see the most room for improvement and what actions leading CFOs take
  • Learn why tech woes frustrate finance as much as regulations and budgets
  • Find out why technology is enabling finance to have a more strategic focus
  • Discover why additional data is adding more complexity to finance

Register now to get your complimentary copy and become one of the first to read the results of the full Oxford Economics survey.

Please join me and my colleague Judy Cubiss at SAPPHIRE NOW on May 17 at 3 p.m., for an interactive session, Take the Right Steps to Create a High-Performing Finance Organization. 

Follow SAP Finance online: @SAPFinance (Twitter)  | LinkedIn | FacebookYouTube

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Neil Krefsky

About Neil Krefsky

Neil Krefsky is a Senior Director of Product Marketing at SAP Finance LoB Solutions. He is responsible for the development and execution of the product marketing strategy for SAP's solutions for the Finance Line of Business including: SAP S/4HANA Finance, Financial Planning and Analysis, Accounting and Financial Close, Treasury and Financial Risk Management, Collaborative Finance Operations, Enterprise Risk and Compliance.

The Future of Cybersecurity: Trust as Competitive Advantage

Justin Somaini and Dan Wellers

 

The cost of data breaches will reach US$2.1 trillion globally by 2019—nearly four times the cost in 2015.

Cyberattacks could cost up to $90 trillion in net global economic benefits by 2030 if cybersecurity doesn’t keep pace with growing threat levels.

Cyber insurance premiums could increase tenfold to $20 billion annually by 2025.

Cyberattacks are one of the top 10 global risks of highest concern for the next decade.


Companies are collaborating with a wider network of partners, embracing distributed systems, and meeting new demands for 24/7 operations.

But the bad guys are sharing intelligence, harnessing emerging technologies, and working round the clock as well—and companies are giving them plenty of weaknesses to exploit.

  • 33% of companies today are prepared to prevent a worst-case attack.
  • 25% treat cyber risk as a significant corporate risk.
  • 80% fail to assess their customers and suppliers for cyber risk.

The ROI of Zero Trust

Perimeter security will not be enough. As interconnectivity increases so will the adoption of zero-trust networks, which place controls around data assets and increases visibility into how they are used across the digital ecosystem.


A Layered Approach

Companies that embrace trust as a competitive advantage will build robust security on three core tenets:

  • Prevention: Evolving defensive strategies from security policies and educational approaches to access controls
  • Detection: Deploying effective systems for the timely detection and notification of intrusions
  • Reaction: Implementing incident response plans similar to those for other disaster recovery scenarios

They’ll build security into their digital ecosystems at three levels:

  1. Secure products. Security in all applications to protect data and transactions
  2. Secure operations. Hardened systems, patch management, security monitoring, end-to-end incident handling, and a comprehensive cloud-operations security framework
  3. Secure companies. A security-aware workforce, end-to-end physical security, and a thorough business continuity framework

Against Digital Armageddon

Experts warn that the worst-case scenario is a state of perpetual cybercrime and cyber warfare, vulnerable critical infrastructure, and trillions of dollars in losses. A collaborative approach will be critical to combatting this persistent global threat with implications not just for corporate and personal data but also strategy, supply chains, products, and physical operations.


Download the executive brief The Future of Cybersecurity: Trust as Competitive Advantage.


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How Digital Transformation Is Rewriting Business Models

Ginger Shimp

Everybody knows someone who has a stack of 3½-inch floppies in a desk drawer “just in case we may need them someday.” While that might be amusing, the truth is that relatively few people are confident that they’re making satisfactory progress on their digital journey. The boundaries between the digital and physical worlds continue to blur — with profound implications for the way we do business. Virtually every industry and every enterprise feels the effects of this ongoing digital transformation, whether from its own initiative or due to pressure from competitors.

What is digital transformation? It’s the wholesale reimagining and reinvention of how businesses operate, enabled by today’s advanced technology. Businesses have always changed with the times, but the confluence of technologies such as mobile, cloud, social, and Big Data analytics has accelerated the pace at which today’s businesses are evolving — and the degree to which they transform the way they innovate, operate, and serve customers.

The process of digital transformation began decades ago. Think back to how word processing fundamentally changed the way we write, or how email transformed the way we communicate. However, the scale of transformation currently underway is drastically more significant, with dramatically higher stakes. For some businesses, digital transformation is a disruptive force that leaves them playing catch-up. For others, it opens to door to unparalleled opportunities.

Upending traditional business models

To understand how the businesses that embrace digital transformation can ultimately benefit, it helps to look at the changes in business models currently in process.

Some of the more prominent examples include:

  • A focus on outcome-based models — Open the door to business value to customers as determined by the outcome or impact on the customer’s business.
  • Expansion into new industries and markets — Extend the business’ reach virtually anywhere — beyond strictly defined customer demographics, physical locations, and traditional market segments.
  • Pervasive digitization of products and services — Accelerate the way products and services are conceived, designed, and delivered with no barriers between customers and the businesses that serve them.
  • Ecosystem competition — Create a more compelling value proposition in new markets through connections with other companies to enhance the value available to the customer.
  • Access a shared economy — Realize more value from underutilized sources by extending access to other business entities and customers — with the ability to access the resources of others.
  • Realize value from digital platforms — Monetize the inherent, previously untapped value of customer relationships to improve customer experiences, collaborate more effectively with partners, and drive ongoing innovation in products and services,

In other words, the time-tested assumptions about how to identify customers, develop and market products and services, and manage organizations may no longer apply. Every aspect of business operations — from forecasting demand to sourcing materials to recruiting and training staff to balancing the books — is subject to this wave of reinvention.

The question is not if, but when

These new models aren’t predictions of what could happen. They’re already realities for innovative, fast-moving companies across the globe. In this environment, playing the role of late adopter can put a business at a serious disadvantage. Ready or not, digital transformation is coming — and it’s coming fast.

Is your company ready for this sea of change in business models? At SAP, we’ve helped thousands of organizations embrace digital transformation — and turn the threat of disruption into new opportunities for innovation and growth. We’d relish the opportunity to do the same for you. Our Digital Readiness Assessment can help you see where you are in the journey and map out the next steps you’ll need to take.

Up next I’ll discuss the impact of digital transformation on processes and work. Until then, you can read more on how digital transformation is impacting your industry.

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Ginger Shimp

About Ginger Shimp

With more than 20 years’ experience in marketing, Ginger Shimp has been with SAP since 2004. She has won numerous awards and honors at SAP, including being designated “Top Talent” for two consecutive years. Not only is she a Professional Certified Marketer with the American Marketing Association, but she's also earned her Connoisseur's Certificate in California Reds from the Chicago Wine School. She holds a bachelor's degree in journalism from the University of San Francisco, and an MBA in marketing and managerial economics from the Kellogg Graduate School of Management at Northwestern University. Personally, Ginger is the proud mother of a precocious son and happy wife of one of YouTube's 10 EDU Gurus, Ed Shimp.