SAP is proud to announce Sierra Digital as the newest addition to SAP AppHaus Network, making it the third partner in North America and the second in the U.S.

As of January 15, Sierra Digital is officially a member of the network. Headquartered in Houston, Texas, the leading technology consulting and services firm is excited to join the global community of design-centric co-innovation spaces.

About Sierra Digital

Founded in 2002, Sierra Digital specializes in digital transformation, automation, and integration services, focusing on modernizing legacy SAP systems. Sierra Digital stands out for its innovative approach, particularly in the SAP Business Technology Platform (SAP BTP) space. The company is an active member of the SAP BTP advisory council and offers more than 30 pre-built SAP BTP applications. The partner was also one of the first to implement SAP Business AI use cases, driving continuous growth and innovation for its clients.

Sierra Digital’s pre-built apps automate functions like business partner onboarding and revenue processing and enhance processes like budgeting or maintenance with artificial intelligence. Sierra Digital serves industries like oil and gas, chemicals, manufacturing, retail, and the public sector.

The partner’s mission is to help businesses transition into modern digital enterprises by leveraging advanced SAP technologies built on SAP BTP to improve operational efficiency and maintain a competitive edge.

“Sierra Digital is thrilled to be a part of SAP AppHaus Network and bring our design and innovation capabilities to the table,” said Sriman Narayanan Sundararaman, vice president for Sales at Sierra Digital. “We are excited to leverage SAP’s expertise to co-create impactful solutions for our clients and drive digital transformation in our region.”

About SAP AppHaus

In 2013, the first SAP AppHaus location was established, and today there are 25 around the world. Three of the locations are owned by SAP and 22 are managed by strategic partners, such as Sierra Digital. To date, SAP AppHaus Network has executed thousands of projects, hosted more than 4,700 workshops, and won more than 100 awards.

SAP AppHaus Network is a community of creative teams run by SAP or like-minded SAP partners. They leverage SAP products and technology to help humanize business software and help ensure innovation fulfills the needs of the end users, offering unique experiences through a human-centric approach. The network aims to transform the way businesses and organizations innovate and design solutions for the digital economy. By working with companies like Sierra Digital, SAP is able to expand its reach and provide innovative design and co-innovation services to a broader range of industries and regions.
 
“Congratulations to Sierra Digital for becoming part of SAP AppHaus Network and expanding our reach in North America. You’ve showcased expertise in SAP technology, an innovative way of working, and strong commitment to user-centered design, which will greatly assist customers in their transformation journeys,” said Lionel Susini, vice president of SAP BTP North America COE.

Welcome Sierra Digital

Sierra Digital’s inclusion in SAP AppHaus Network is a testament to its commitment to providing cutting-edge solutions and customer-centric design processes. As a partner, Sierra Digital will have access to SAP’s design thinking methodologies, tools, and resources, enabling the company to collaborate with clients and co-innovate on projects that can drive meaningful and sustainable change.

 “Sierra Digital has been recognized as a perfect addition to the SAP AppHaus Network. With a committed SAP AppHaus team equipped to apply our award-winning human-centered innovation approach, they are able to inspire and support customers throughout their journey to realize innovation. We eagerly anticipate co-innovating with the local team!” said Carlos Estala Velasco, co-lead for SAP AppHaus Partner Network.

The addition of Sierra Digital to SAP AppHaus Network further solidifies SAP’s commitment to fostering a culture of innovation and design thinking around the world. By partnering with leading technology consulting firms like Sierra Digital, SAP is positioned to continue driving digital transformation and co-innovation initiatives in North America and beyond.  For more information about the new SAP AppHaus location, visit apphaus.sap.com/network/houston or www.sierradigitalinc.com.

Priscilla Darfour is a working student at SAP AppHaus Network.

A new version of SAP Download Manager (version 3.2.1) is available, supporting authentication with certificates.

This new version of the tool can be downloaded from the Software Downloads page on the SAP Support Portal here.

Until recently, predicting outcomes in sports was usually based on historical data compiled from player and team statistics. This approach, however, can’t guarantee outcomes; in fact, it often leads to dashed expectations and disappointing results.

Perhaps the most famous example of this predicament was the 2014 FIFA World Cup semi-final where Germany defeated Brazil 7-1. Traditional metrics favored Brazil, leaving the South American team stunned by their devastating loss and highlighting the inefficacy of existing statistical models in accurately representing team performance.

The Soccer Statistic You’ve Never Heard

Stefan Reinartz, a former midfield Bundesliga player and UEFA Champions League competitor, cited that example on a recent panel discussion hosted by Soccerex Miami. After experiencing his own “Aha!” moment, Reinartz became the founder of IMPECT, a German analytics company that revolutionized the role of statistics in the world of soccer.

“Common soccer statistics like ball possession, winning tackles, running distance, and so on actually have no correlation to the end result,” Reinartz said. “I was quite shocked when I realized they really can’t tell you anything about a player’s or a team’s performance.”

He came to that realization when he read about the Moneyball approach, which uses advanced statistical analysis to acquire undervalued players and thus assemble a competitive team despite a limited budget.

“Some sports such as baseball may be more conducive to such a data-driven strategy, while others like soccer are more complex, making it difficult to create the right KPIs,” he explained.

Soccer is a low-scoring game involving 22 players in continuous action, requiring complex strategies and a lot of hard work to get past opponents to score. Apart from the number of goals and passes, individual statistics are almost nonexistent, making it challenging to create universally reliable metrics.

Realizing that soccer statistics did not measure the true value of individual players changed his own assumptions. Together with another midfielder, Jens Hegeler, he founded IMPECT with the goal of developing soccer data that can be used to make valuable assessments of players and teams. They invented “packing” to quantify the value of a pass or dribble.

The basic statistics in soccer, such as goals and assists, primarily reflect strikers and attacking midfielders, the players who do most of the scoring and assisting. Midfielders, who do most of the running and passing to initiate offensive moves, are seldom recognized statistically. What they do best is move the ball past opposition players. That is what packing measures.

The methodology is simple: Players earn a point for any move — a cross, a dribble, a long pass — that causes the ball to move past opposition players. Receivers also get points.

Today, IMPECT is a thriving business collecting and selling packing data to help teams scout for players, analyze their own performance, and learn key facts about opponents.

What’s SAP Got to Do With It?

During the discussion, Achim Ittner, vice president of Sports at SAP, described the company’s journey from its roots in business software to developing specialized sports applications, emphasizing user-centric design and collaboration with renowned coaches and national teams.

“Like IMPECT, we’ve been focused on developing data-driven solutions and relevant tools for sports clubs using direct feedback and a design thinking approach,” Ittner said. He explained that SAP built a unified platform to address fragmented software ecosystems in sports. The platform integrates APIs and data sources to support processes like injury prevention, training recommendations, match preparation, and player well-being.

“Sports analytics embodies the blend of data science and athletic performance, providing a blueprint to guide decisions made by coaches and trainers,” he shared. “The significance of data in today’s sports ecosystem cannot be overstated. It’s necessary for everything from strategizing game plans to refining individual skills.”

SAP’s engagement with IMPECT is just one example of how the compay collaborates with a variety of teams and experts to further shape its sports technology. New technologies — like social media, mobile, and digital capabilities, as well as sensors in player uniforms and equipment — are disrupting the sports industry. SAP is committed to helping sports organizations take advantage of these new innovations to deepen fan engagement, improve team performance, grow revenue faster, and efficiently operate their business and venues.

Besides solutions for scouting and measuring team performance, SAP also has one for customer engagement and marketing. Afterall, the fan experience is just as important as the team’s performance. The SAP Sports One solution provides a 360-degree view of each customer and fan to better target individual preferences and purchasing behaviors by offering personalized experiences over online, mobile, and social channels. Teams can grow their fan base, manage their merchandise, and increase loyalty with personalized rewards.

Delivering the Experience

“A great sports experience is about so much more than winning the game,” said Ittner. “It involves a mix of elements that includes players, spectators, and organizers.”

For the fans, food and beverage, merchandise, a good streaming experience, and clear communications on schedules and navigating the venue are critical. Having the right players for a winning team and providing them with the best care and training before and after the game is the job of team management. And finally, the venue must provide exceptional facilities, infrastructure, safety, and security.

SAP helps bring this all together, creating an intersection of sports, technology, and innovation.

It’s wrap on NRF, and it is no surprise that customer engagement and artificial intelligence (AI) were top of mind for most retailers. This furthers SAP’s commitment to delivering compelling innovation that empowers our customers to deliver the best customer experience.

We are leaving the biggest retail event of the year with so much excitement for what’s to come for the SAP Customer Experience portfolio this year. Here’s a look into SAP CX innovations for 2025.

Data-Driven Loyalty Management Solution

We announced a new loyalty management solution that helps brands earn the loyalty of their customers using experiential journeys and personalized, real-time offers.

Creating loyalty is key to profitable growth; however, lasting loyalty has been illusive to many brands. According to the SAP Emarsys Customer Loyalty Index, there are diverse motivations among consumers that drive brand loyalty. Forty-percent credit their loyalty to long-standing reputations, 30 percent say brand consistency is what brings them back, and 22 percent say it’s because of a brands iconic status. Yet, despite this loyalty, only 17 percent of consumers feel “truly valued,” leaving the majority wanting more.

Helping consumers feel truly valued is no small feat. Traditional reward redemption methods focus only on customers who actively join loyalty programs, and that is no longer enough. Brands are innovating loyalty programs to create a sense of nostalgia, community, and devotion that delivers a memorable experience through personalized offers across the entire life cycle and on every channel.

The new loyalty solution from SAP aims to equip organizations with experiential journeys and personalized, real-time offers to help earn customer loyalty through integration with the SAP Commerce Cloud, SAP Service Cloud, SAP Emarsys and SAP S/4HANA Cloud Public Edition, retail, fashion, and vertical business solutions. Key features that enable this are:

• Loyalty profiles that connect every shopper with a cloud-based loyalty wallet, facilitating targeted and personalized offers, entitlements, and real-time basket analysis
• Multi-brand loyalty management, as well as shared loyalty programs with partners that centralize loyalty programs across regions and markets, enabling combined brand programs for gaining market share
• A single place for omnichannel promotion planning with real-time redemption to deliver any type of offer, digital payment, and gifting to all customers on any channel
• Loyalty journey planning that delivers experiential omnichannel journeys tailored to customer needs through personalized commerce, marketing, service, and retail interactions
• Quantifiable metrics that track promotion performance and loyalty-related liabilities, linking to financial systems to measure ROI, and enable settlements with the member and partner brands

We are currently recruiting customers for a lighthouse program, and interested customers can learn more by contacting Yaron Gur-Ari. The solution is expected to be available in the second half of 2025.

Artificial Intelligence Makes Shopping Frictionless

We are also launching an AI shopping assistant to make e-commerce search and discovery a lot easier for customers.

Search abandonment is a real challenge. According to a 2023 Google research report, retailers face more than a $2 trillion loss when shoppers cannot find what they are looking for on a retailer’s website. And to add insult to injury, search challenges also serve a huge blow to customer loyalty, with 78 percent of consumers viewing brands differently and 82 percent of consumers saying that they would avoid websites where they’ve experienced search difficulties.

With the AI shopping assistant, users can now deliver that white-glove experience to their customers online. For industrial buyers, it acts as a technical specialist — helping source specific replacement parts, comparing complex specifications, and suggesting compatible components. For retail customers, it serves as a personal shopper — understanding style preferences, recommending complementary accessories, and answering detailed product questions.

The assistant seamlessly integrates with SAP Commerce Cloud through a flexible API, allowing users to easily plug it into new or existing storefront while maintaining the brand experience. With built-in security and support for multiple languages, it is designed to deliver sophisticated product discovery at scale.

The AI shopping assistant, as part of the SAP CX AI Toolkit, is available for early access now and will be generally available in March of 2025 for SAP Commerce Cloud customers.

Effortless Payment Service Integration

We previously announced a new composable payment solution, SAP Commerce Cloud, open payment framework, that helps retailers continue to scale and remain agile as new payment options gain popularity.

Open payment framework is a no-code, low-code framework that gives retailers a low-cost, adaptive, and agile payments system that can best fit their business and customer needs without the need to build out integrations on their own. Extensible and headless, the framework ensures that the front and back ends are decoupled and operate independently, catering to a wide range of requirements across channels and allowing customers to have the freedom to pick their preferred payment methods. It covers common payment needs and end-to-end payment processes across authorization, capture, refunds, and re-authorization as well as automatic updates with security and compliance standards. Open payment framework is natively integrated with SAP Commerce Cloud.

Open payment framework is planned for general availability on January 22, 2025. Customers can sign up for SAP Early Adopter Care program here.

Intelligent Search Service Makes Product Discovery Easier

The intelligent search service is a modern, multi-tenant SaaS solution designed to deliver seamless, AI-powered search experiences for both shoppers and business users. Key benefits that empower end-to-end commerce journeys are:

• Effortless product discovery for shoppers on the storefront with natural, intuitive search capabilities, enhanced by AI-driven verbatims, flexible indexing, and intelligent scoring. Features like smart word suggestions and personalized recommendations help showcase the most relevant products, improving navigation and driving higher satisfaction.
• Search operation management with ease for business users through back-office processes that enable data-driven merchandising strategies, powered by integration with intelligent selling services. This ensures measurable impact and optimization of search experiences.

By combining modern technology with AI, the intelligent search service maximizes conversion rates and product views, delivering a natural and intuitive shopping experience. It helps retailers not only enhance customer satisfaction but also build long-term loyalty and lifetime value.

The service is planned for general availability on January 22, 2025. Customers can sign up for SAP Early Adopter Care program here.

At SAP, we are committed to empowering businesses to deliver exceptional customer experience while driving profitable growth. By leveraging connected, insightful, and adaptive technology solutions, we help our customers put their customers at the center of their operations to build loyalty, foster innovation, and unlock new opportunities for success.

To learn more about SAP CX, visit sap.com/cx.

Balaji Balasubramanian is senior vice president and global head of Commerce and Industry Cloud at SAP.

A topic that has come up many times at the World Economic Forum Annual Meeting in Davos over recent years is the increasing fragmentation of our world — within societies and between nations. But, amid this division and disagreement, there is one hope that many still share: the belief that artificial intelligence (AI) will lead to significant progress across the globe.

From my work at a company that pioneers AI in business processes, I hold this hope too: AI has the potential to stimulate growth and make companies more productive. It can make economies more resilient by helping businesses navigate disruptions, whether through global trade crises, natural disasters, or regional conflicts.

AI can also play a critical role in our ability to achieve our sustainability goals, tackle climate change, and mitigate its impact. While many recognize AI’s positive potential, the growing fragmentation of our world greatly reduces our ability to take full advantage of the opportunities AI presents.

AI can only be as good as the data it can access and work with. The more restrictions, limitations, and political borders we impose on it, the less positive impact AI can have in our countries and companies. AI can’t thrive in a fragmented world. This is what I call the AI progress challenge.

Tackling the AI Progress Challenge, Step by Step

Finding solutions to something as vast and as complex as global fragmentation requires us to divide the problem into smaller, individual challenges that are easier to overcome. How can we make AI a stronger tool for progress? How can we navigate the AI progress challenge step by step?

1. Begin at company-level

It starts on our doorsteps — at the level of the individual company. Cloud migration is an integral first step. The cloud makes data accessible for AI, systematically and comprehensively, and cloud solutions can easily — even automatically — be kept up to date with the latest AI innovations. What is more, integrated cloud software offers a standardized environment for data and processes. It makes it easier for companies to keep their data structured, clean, and coherent across the company — and consequently easier for AI applications to use.

2. Create an industrial ecosystem

The second step toward maximizing the potential of AI is to bring individual companies together in an industrial ecosystem. To become more productive, resilient, and sustainable, companies need to exchange information with suppliers — sometimes thousands of them — as well as with their clients and innovation partners. In the age of business AI, the need to build intelligent business networks is more important than ever. The more broadly and widely data can be shared between companies, the better and more impactful AI outcomes can be. The whole ecosystem profits in terms of added competitiveness and innovation power.

3. Build international frameworks

The third step is to build international frameworks that allow AI innovation to thrive in a responsible way. Governments and regulators can reduce unnecessary barriers to the exchange of data within countries and between countries. In cooperation with industry, public actors can also work towards aligning and harmonizing technological regulations wherever possible, especially between the key economic powers of North America, China, and Europe.

At the same time, we must build trust. Lack of trust is perhaps the greatest driver of global fragmentation — and the biggest obstacle to collaboration. By joining forces, international companies can agree on common rules for data usage, data privacy, and responsible, ethical AI. Such “confederations of trust” encourage more frequent data sharing.

Putting the AI Puzzle Together

The cloud, business networks, and a more harmonized global environment based on trust; each of these steps reduces fragmentation and increases federation. And, each of these steps can help the organizations involved reap much greater benefits from AI.

It’s like putting together a 10,000-piece puzzle. It’s not easy to start with and it’s not something that can be accomplished in one go, but if we begin by putting a handful of pieces into place, the big picture gradually emerges. As the degree of federation increases, progress accelerates.

It’s on us to put the AI puzzle together and reduce fragmentation, one step at a time. This is how we maximize the potential of AI — not just for some, but for many.

Christian Klein is CEO of SAP SE.

This piece originally appeared on the World Economic Forum website.

Technological innovations such as artificial intelligence (AI) are reshaping entire industries and redefining the boundaries of what is possible. These advancements significantly boost productivity and help us reach new heights as societies.

According to the McKinsey Global Institute, AI could contribute between $17.1 and $25.6 trillion to the global economy annually, including $6.1 to $7.9 trillion from generative AI use cases alone.

Yet technology alone does not guarantee success in the Intelligent Age: People remain the true catalysts of innovation and growth. As businesses navigate rapid technological change, their ability to continually adapt, build resilience, and create sustainable growth depends on how well they interlock people, organizational development, and technological advancements. Together, this triangle forms a transformation engine that drives both individual and business growth, ensuring long-term success. It also helps organizations and individuals thrive and create a sustainable future.

Putting People and Skills First

Even in this high-tech era, people remain the driving force behind innovation and growth. In the Intelligent Age, skills are the new currency — encompassing the abilities, knowledge, and expertise that empower individuals to adapt and thrive in a rapidly changing world. Therefore, to bring out the best in their people, organizations must prioritize skills.

The skills-first approach is a paradigm shift that revolutionizes how organizations handle workforce planning, hiring, performance management, job architectures, learning and development, career pathing, as well as rewards — hyper-personalized and infused with AI. Putting skills at the center transforms people practices, products, and solutions across all stages of the employee life cycle.

In doing so, organizations create a people ecosystem centered on adaptability and growth. From skill-based job descriptions and skills assessments to prioritizing skills over experience and degrees when executing skill-based hiring, organizations can transform their people practices. This extends to skill-based learning and development, enabling cross-generational and regional development, internal mobility, recognition programmes, as well as career pathing and skill mapping from an organizational perspective.

This approach ensures that organizations attract and engage the right talent, provide individuals with personalized development opportunities aligned with organizational needs, and offer competitive rewards that recognize and incentivize skill growth and application.

A skills-led people ecosystem helps employees adapt quickly, almost in real time, to changing demands. Prioritizing skills allows organizations and employees to drive innovation and achieve sustained success. Ultimately, this approach will contribute to overall economic growth by ensuring a skilled workforce and sustaining high levels of employability.

Culture as the Organizational Foundation for Innovation and Resilience

Under the constant demand to transform, along with competition and geopolitical challenges, even the most resilient organizational cultures can be stretched. In the Intelligent Age, maintaining a strong culture requires continuous strategic attention and nurturing.

Businesses must instill a culture that encourages adaptability. An adaptive culture acts as an internal compass, guiding employees on how to work together, serve customers, and remain accountable for sustainable results. It guides decision-making through shared values and priorities, emphasizing a growth mindset for continuous learning and developing individual and organizational capability. This helps organizations adapt quickly to market changes, remain competitive, and foster innovation.

Leaders play a pivotal role here. By motivating teams, providing clarity and purpose, they create a cohesive workplace that empowers individuals and aligns their actions with the broader vision. The result is a unified effort where every team member contributes to shared goals, fuelling both performance and adaptability.

When culture is deeply rooted and intentionally nurtured, it aligns strategy execution with engagement from employees, partners, customers, and shareholders — strengthening commitment across all stakeholders and delivering consistent results.

People Technology Changing the Game

Technology helps organizations implement and amplify the impact of their people strategies. By leveraging the power of mega data and AI in the people sphere, companies foster data-driven and transparent decisions, a critical prerequisite for workforce transformation and future success.

Mega data and AI help organizations predict workforce trends, identify skill gaps, and improve talent insights and mobility, leading to more efficient team setups and equal opportunities to employees. This enables superior business outcomes based on a holistic and transparent view of employee capabilities and insights — available to all relevant decision-makers.

Technological advancements also allow unprecedented levels of personalization, making hyper-personalization a key focus in the people sphere. From targeted, skill-based learning programs to individualized career paths, AI-enabled tools can tailor experiences to each person’s needs, offering clear growth opportunities and driving engagement by making employees feel valued and supported in their development.

By using technologies like AI effectively and ethically, organizations will be more adaptive going forward — enabling quick pivots to meet external demands and build resilience.

By interlocking people, organizational development, and technological advancements, businesses create the foundation to continually innovate, adapt, build resilience, and drive lasting growth. This holistic approach helps organizations and individuals thrive in the future, ultimately contributing to a better tomorrow.

As we stand on the brink of the Intelligent Age, it is vital that businesses reimagine their strategies with people at the center. Together, we can create organizations that serve as engines of innovation and resilience — ready to lead us into a people-centered, growth-focused, and sustainable future.

Let us seize this moment to ensure that the Intelligent Age is defined not only by technological progress but also by how it uplifts humanity.

Gina Vargiu-Breuer is chief people officer and labor director, as well as a member of the Executive Board of SAP SE.

This piece originally appeared on the World Economic Forum website.

Two major forces are driving rapid shifts in the modern enterprise: growing complexity, which can often feel overwhelming, and generative AI, the disruptive technology that promises to tame it.

From supply chain disruptions and shifting regulations to the struggle of attracting and retaining top talent, enterprises must navigate an ever more challenging environment. Meanwhile, AI has forever changed the game for business.

Though its potential to streamline operations and spark innovation is extraordinary, it demands more than a simple overlay on siloed, legacy systems. Realizing AI’s promise requires a fundamental shift in how people, applications, and data connect to tackle challenges and seize new opportunities.

Beyond Siloed Systems

The tension between escalating complexity and AI’s transformative power is redefining modern business. The days of relying solely on transactional systems or standalone intelligence are behind us; modern enterprises demand much more. Companies today seek an integrated business suite that unifies processes, harmonizes data, and leverages AI agents to tackle challenges and seize new opportunities.

Achieving this level of interconnection calls for a fresh approach to enterprise management — one that brings together three critical capabilities:

• End-to-end process integration that generates and relies upon trusted business data. McKinsey calls this an integrated technology operating model and says this “can help [organizations] build deeper relationships with customers, launch new business models, make processes more efficient, and make better decisions.”
• Harmonized data to fuel AI-driven insights. Data harmonization brings together all data — internal and external — so it can be managed more efficiently, analyzed, and used to guide business decision-making. Harmonizing data within an organization minimizes redundancies, improves data governance, serves as a single source of truth, and makes better use of scarce resources.
• AI that goes beyond basic automation and breaks down silos, driving real-time, cross-enterprise optimization. In other words, companies need AI that not only performs repetitive tasks but also actively analyzes data, learns from new information, and makes intelligent, actionable recommendations.

Real World Impact: BSH and MOD Pizza

By design, SAP software connects an entire organization to drive results grounded in enterprise data and in the context of business processes. This integrated approach is already delivering measurable results.

Global home appliance leader BSH is a company that already benefits from this approach, offering more than 10,000 products to 50,000 trade customers in over 50 markets. BSH achieved supply chain transparency, optimized inventory, facilitated on-time delivery, and enhanced customer experiences by synchronizing planning and execution across its extensive supply chain.

Another example is MOD Pizza. The company supports equitable opportunities and business growth by automating HR and streamlining onboarding for 1,000 new hires monthly, managing as many as 400 changes to employee data every day. Systems integration saved HR admins 15 hours per week in data entry alone.

These examples demonstrate that complexity can become a catalyst for progress — provided the right applications, data, and AI tools are in place. When these elements work in unison, the outcome is greater than the sum of its parts: a business that’s not just agile, but unstoppable.

Embracing the Next Era of Enterprise Management

We are entering a new era of enterprise management where AI agents collaborate to solve long-tail business tasks, redefining how the world does business. SAP is ready to help our customers by bringing together applications, data, and AI like never before.

Business leaders can ensure their companies not only survive but thrive by swiftly adapting to an ever-changing environment.

Thanks to AI, the systems we’ve always envisioned — where data flows freely, processes are fully connected, and decisions are backed by precise, real-time insights — are now within reach.

Jan Gilg is president and chief product officer for Cloud ERP at SAP.

This piece originally appeared on SAP BrandVoice on Forbes.