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Utilities Providers Select SAP Software to Drive Convenience and Personalization for Customers

SAP News - Wed, 04/25/2018 - 09:00
WALLDORF SAP SE (NYSE: SAP) today announced that more providers are choosing SAP Hybris solutions for utilities to stay ahead of the industry, support generation of new revenue and increase profits.

Integration of the SAP Hybris solution into SAP S/4HANA, utilities billing capabilities and industry-specific capabilities of the SAP Customer Relationship Management application are helping providers deliver expert advice and bundled services with relevant offers.

SAP Hybris Customers Reimagine Engagement Opportunities

The utilities industry is experiencing a period of rapid transformation, with competition on the rise and reregulation, decarbonization and decentralization transforming expectations. As a result, utilities need to offer more than their core energy service. According to a recent IDC survey (“Energy End Consumer Survey”), engagement within the utilities industry remains a challenge. The survey found that:

  • 52 percent of consumers contact their energy supplier less than once a year
  • 51 percent note that self-service engagement channels “never” work properly
  • 52 percent of utility consumers do not understand what they are paying for

With SAP Hybris solutions, utility providers are able to analyze data quickly and create a 360-degree view of their customers so that they can sell innovative, turnkey solutions and services in real time to increase their revenue stream.

Companies who have recently selected SAP software include the following:

EneRa in Germany is at the helm of digital transformation, combining new technology with business trends such as the sharing economy. Subsidized by the government as a research project, EneRa implemented the SAP Hybris Revenue Cloud solution and SAP Cloud Platform with machine learning capabilities to build a solution for collecting its customers’ compute power to use in times of overproduction by renewable energy to transform electric power into actual results of machine learning algorithms. Universities and companies can access these CO2-neutral distributed data centers for machine learning, which are similar to supercomputers.

“With SAP Hybris solutions for utilities we have been able to take advantage of next-generation technology to reduce waste through renewable resources,” said Christian Arnold, managing director, EneRa, EWE. “With machine learning capabilities, we have been able to harness excess energy to deliver an entirely new product and deliver added value through our CO2-neutral data centers.”

REWAG needed a simple-to-implement, user-friendly solution to structure its customer and sales information in one place. Its sales teams required mobile online and offline access so they could access and enter data on the go at customer sites. After implementing the SAP Hybris Cloud for Customer solution in only 50 days, REWAG was able to get a clearer, more utility-focused view of customers, speeding sales and helping REWAG serve its customers through tight integration with its SAP-based utilities capabilities.

Jemena owns and operates a diverse portfolio of energy and water transportation assets in Australia supplying millions of households and businesses with essential services every day. Jemena has deployed SAP Hybris Cloud for Customer in just eight weeks to deliver a single customer view to staff in the office and the field.

TXU Energy is the largest electricity provider in Texas with 1.7 million customers. After introducing new products such as Web-controlled thermostats and home and HVAC system service warranties, TXU integrated SAP Hybris Billing into its existing solution to consolidate billing for all energy- and non-energy-related services.

Dynamic Offerings to Build New Revenue Streams

“SAP Hybris solutions are providing a foundation for utilities companies to look at their business through a new lens,” said Matthias Goehler, senior vice president, head of SAP Hybris industries. “By eliminating the guess work from customer data, supporting dynamic pricing models and facilitating omnichannel engagement, we’ve helped companies push the boundaries of what’s possible within the utilities space by building new revenue streams and opening the door to a more competitive marketplace.”

SAP has been recognized for its industry-leading solution for 12 consecutive years in the Gartner Magic Quadrant for Utilities Customer Information Systems. Additionally, SAP is a Leader in the IDC MarketScape: Worldwide Subscription Relationship Management 2017 Vendor Assessment.

For more information, visit www.hybris.com/en/solutions/industries/utilities.

Visit the SAP News Center. Follow SAP on Twitter at @sapnews.

Media Contacts:
Michael Baxter, SAP, +49 151 1719 6185, m.baxter@sap.com, CET
Jenny Radloff or Nikki Festa, PAN Communications, +1 617-502-4300, SAPHybris@pancomm.com, ET

Any statements contained in this document that are not historical facts are forward-looking statements as defined in the U.S. Private Securities Litigation Reform Act of 1995. Words such as “anticipate,” “believe,” “estimate,” “expect,” “forecast,” “intend,” “may,” “plan,” “project,” “predict,” “should” and “will” and similar expressions as they relate to SAP are intended to identify such forward-looking statements. SAP undertakes no obligation to publicly update or revise any forward-looking statements. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. The factors that could affect SAP’s future financial results are discussed more fully in SAP’s filings with the U.S. Securities and Exchange Commission (“SEC”), including SAP’s most recent Annual Report on Form 20-F filed with the SEC. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates.
© 2018 SAP SE. All rights reserved.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE in Germany and other countries. Please see http://www.sap.com/corporate-en/legal/copyright/index.epx#trademark for additional trademark information and notices.

Categories: What's New

Data Veracity is Critical for Insurers to Make Better Business Decisions, According to Accenture Report

Accenture News - Wed, 04/25/2018 - 08:59
NEW YORK; April 25, 2018 – A new report from Accenture (NYSE: ACN) has found that as data becomes more critical to insurance companies’ operations, most insurers can improve how they validate data and combat data manipulation by outside stakeholders.
Categories: What's New

Accenture to Audiocast Investor & Analyst Conference Today

Accenture News - Wed, 04/25/2018 - 07:59
NEW YORK; April 25, 2018 – Accenture (NYSE: ACN) will host a live audiocast of its Investor & Analyst Conference today, Wednesday, April 25 in New York City. The audiocast will feature remarks by Chairman & CEO Pierre Nanterme, Chief Financial Officer David Rowland and other members of the executive leadership team, and will focus on Accenture’s business strategy and unique leadership position in the market. 
Categories: What's New

Industrial Manufacturers Turning to AI to "Turbocharge" Products and Services, According to Accenture Report

Accenture News - Wed, 04/25/2018 - 05:59
HANNOVER MESSE, Germany; April 25, 2018 – The vast majority of manufacturers are turning to artificial intelligence (AI) to “turbocharge” their products and services, finds a new research report from Accenture (NYSE: ACN).
Categories: What's New

DXC at Blue Prism World 2018

CSC Events - Tue, 04/24/2018 - 16:46
DXC is proud to be a Platinum Sponsor of Blue Prism World 2018 in New York and a Gold Sponsor of Blue Prism World in London.
Categories: Events

Predictive Analytics for Business Departments

SAP News - Tue, 04/24/2018 - 11:30
The new SAP Predictive Analytics integrator makes it easier for companies to integrate and use their own data models in SAP software solutions.

Within an intelligent enterprise, all business departments should be able use predictive analytics. Its deployment scenarios range from inventory and contract management to the early detection of fraud.

Capgemini’s 2018 study on IT trends shows that predictive analytics is steadily gaining in importance. Ranked third in this year’s study, it is a high priority for more than half of those surveyed, topped only by privacy by design and security automation.

It is no surprise that predictive analytics is receiving a lot of interest. The technology enables companies to use historical data to identify, for example, the customers or employees it is in danger of losing – before it is too late. They can then reach out to these customers or employees and take appropriate action to retain them. The technology can also forecast product sales in selected countries, assess credit risk, and enable predictive machine maintenance.

The IT structure of an intelligent enterprise. Predictive analytics belongs in the business intelligence category; SAP Leonardo Machine Learning is one of the underlying technologies.

How Does Predictive Analytics Work?

First, the data manager component in SAP Predictive Analytics prepares vast amounts of data. Then, based on this data, users configure their own basic predictive models, select training datasets and filters, and train the algorithm within the application. Automating the creation of models means that users no longer need to write their own algorithms, which makes deploying the technology to business departments significantly easier. It is also possible to run a large array of models at optimal performance levels.

Leveraging machine learning capabilities, the models constantly and automatically adapt to new data, therefore ensuring that the outcomes remain reliable. The results are integrated directly into familiar applications so that all users — from board members to plant managers — can access the outcomes and instigate action accordingly. And crucially, the software presents the data in an intuitive format that is easy to understand.

This smart approach makes it easier for business departments to adopt predictive analytics. As such, nothing stands in the way of using this technology – in almost all SAP applications.

“Thanks to our automated forecasting functions, companies can very quickly create forecast models and integrate them into their business processes,” says Dr. Sarah Detzler, a data scientist at SAP. “The ability to identify patterns and complex connections within their data gives them new insight and predictive information that they can use to improve their processes.”

Predictive Analytics in Action

Predictive analytics is no longer just a distant dream. A host of other examples show just what is achievable.

German bookstore chain Thalia deploys a platform solution combining SAP HANA and SAP Predictive Analytics to create analyses and forecasts that help the company offer as pleasant a customer experience as possible. The process covers more than 250 stores with varying requirements, e-readers, thousands of inventory items, and more than 18 million master data entries. Customers identified as being at risk of churn receive personalized product recommendations and exclusive offers. Thalia uses these and other functions to retain profitable customers and increase customer value.

Cisco Systems and mBank also use predictive analytics to anticipate customer behaviors and, as such, positively influence the consumer buying process.

“No one doubts anymore that predictive analytics adds value. Demand for it is burgeoning and business departments’ interest in embracing predictive methods is strong,” says Detzler.

Predictive inventory management and contract management are two of the scenarios that are already easy to integrate into business processes today. Inventory management is vital to companies that deliver goods or receive stock from their plants and suppliers. To help ensure just-in-time manufacturing, these companies must constantly monitor their stock so that they can react before production comes to a standstill. One tool that helps them do this is the Materials Overdue – Stock in Transit app from SAP, which by forecasting stock delivery times and more, makes requirements planning vastly simpler.

Covering contract creation, execution, and monitoring, contract management enables companies to maximize their operational and financial performance. As such, it is an area where businesses hope to gain practical help from the digital transformation. Predictive analytics technology can foresee every event that may occur throughout the lifetime of a contract — including termination, renewal, orders, and amendments to master agreements with suppliers — so that a company can take appropriate action. SAP Predictive Analytics provides end-to-end workflows to match.

There are plans to include other scenarios, such as fraud detection, as standard in SAP applications; SAP Fraud Management identifies potentially fraudulent activity using historical data.

Predictive analytics could also be used to forecast how likely it is that a business deal will be closed. If sales teams focus on high-potential deals, they stand a better chance of achieving their targets, and they would save time into the bargain. Management would also benefit from being able to forecast revenue more accurately and thus plan more effectively.

Ready to Achieve Remarkable Things

Thanks to SAP Predictive Analytics integrator, fully configured tools for predictive analytics like those described here, are already included as standard in a variety of SAP applications, including SAP S/4HANA, SAP Business Integrity Screening, and SAP Hybris Cloud.

“Business departments can now leverage the data available in SAP solutions such as SAP S/4HANA to train their own models and integrate the outcomes into their business processes,” says Detzler.

Using predictive analytics for specific business processes increases the value of the digital core because the ability to rapidly build and deploy predictive models enables companies to use their data to its full potential. And SAP customers benefit from the best of worlds, since they have the flexibility to either use the standard scenarios or, with the help of SAP Predictive Analytics, to create scenarios that more accurately address their specific business requirements.

SAP Predictive Analytics integrator represents a significant step for SAP. By allowing business departments to adopt pre-programmed algorithms or easily build their own, it gives them access to the valuable world of predictive analytics. Indeed, some customers are already savoring the benefits of being able to identify and promptly react to fraudulent activity or delayed deliveries.

Categories: What's New

DXC Service for Oracle Revenue Management Cloud

CSC Events - Tue, 04/24/2018 - 09:24
DXC Service for Oracle Revenue Management Cloud
Categories: Events

Enterprise and Cloud Applications Events

CSC Events - Tue, 04/24/2018 - 09:24
DXC is proud to sponsor these Enterprise and Cloud Applications events.
Categories: Events

SAP IoT Startup Accelerator: Supercharging the Smart Factory

SAP News - Tue, 04/24/2018 - 09:15
With SAP, startup attenio is using augmented reality (AR) to build tomorrow’s smart factories now. 

Henry Ford once said, “You can have any color you want as long as it is black.” But in today’s fiercely competitive landscape, manufacturers have to deliver with a level of speed and flexibility unimaginable even 10 years ago. AR is making it all possible, helping factories respond to customer demand with faster turnaround times and smaller, customized production runs.

Thanks to the close collaboration of startup attenio and the SAP Manufacturing Execution application, the smart factory of the future is already becoming a reality. By delivering precise workflows to any digital device, workers can save as much as 33 percent of time that would otherwise be spent searching for assembly parts and instructions.

“Seeing is believing — and succeeding,” says Dr. Fedor Titov, CEO of attenio. “By empowering workers to visualize their tasks, we’re helping create a highly responsive factory that delights customers on demand.”

Building the Smart Factory of the Future

Like a painting on canvas, the attenio application projects mission-critical information directly onto a work surface. This provides operators with interactive guidance in real time. At the same time, it also helps workers drive manual processes with speed and precision.

The resulting smart factory environment gives workers greater control over assembly and training processes without sacrificing quality. At the same time, it ensures that each product is built correctly, every time. In fact, factories that adopt the attenio AR solution report a substantial increase of production time, and a drastic reduction in errors.

“SAP is collaborating with attenio to put more smart factory concepts in customers’ hands now,” says Tony Aschwanden, global product owner for SAP Manufacturing Execution. “That’s an enormous advantage in the race for digital transformation.”

Technology with Impact

Recent collaboration successes demonstrate just how powerful AR can be in a manufacturing environment. From rapid production times, improved maintenance, and fewer downtimes, new solutions are helping workers across industries visualize highly complex workflows to achieve better performance.

To learn more about how attenio and SAP are building tomorrow’s smart factory now, visit Hall 7 Stand A02 at Hannover Messe 2018. Fedor and Aschwanden will be available to answer your questions. 

Discover why the future of AR has an important place in today’s smart factory – and at SAP.

Join the SAP Industry 4.0 Startup Program

Get ready to take startup to a new level with the SAP Industry 4.0 Startup program, which provides startups with deep programmatic mentorship, workshops, and access to SAP APIs and technologies, as well as exposure to leading manufacturing SAP customers. Learn more about the program here.

 

Categories: What's New

Accenture Recognized with 15 Regional Oracle Excellence Awards

Accenture News - Tue, 04/24/2018 - 08:59
SAN FRANCISCO; April 24, 2018 – Accenture (NYSE: ACN), a Platinum level member of Oracle PartnerNetwork (OPN), has received 15 prestigious country-level Oracle Excellence Awards. The awards recognize Accenture for its contributions and commitment to delivering innovative solutions around the world.
Categories: What's New

SAP Announces First Quarter 2018 Results

SAP News - Tue, 04/24/2018 - 01:04

Cloud and Software Revenue Growth Above FY Guidance
Double-Digit Operating Profit Growth Drives Operating Margin Increase

  • Cloud Revenue Accelerates, Up 18% (IFRS) and Up 31% (Non-IFRS at Constant Currencies), Exceeding €1 Billion for the First Time in a Quarter
  • New Cloud Bookings Up 25% at Constant Currencies on Top of an Exceptional Prior Year Quarter
  • Digital Core Momentum Continues With Over 8,300 S/4HANA Customers, Up 43% Year-over-Year
  • Full Year Outlook Increased to Reflect Callidus Acquisition and Strong Operational Momentum
WALLDORF, Germany SAP SE (NYSE: SAP) today announced its financial results for the first quarter 2018 ended March 31, 2018.

Read the SAP Q1 2018 Quarterly Statement

Categories: What's New

How Robots are Changing the Business of Toilet Paper and Diapers

SAP News - Mon, 04/23/2018 - 12:15
In spite of all the changes brought on by digital technology, humans are essentially analog creatures. For evidence look no further than the consumption of toilet paper and diapers.

And while they are readily available and affordable in developed countries, that’s not always the case in the developing world. More than 2 billion people around the globe have no access to improved sanitation and basic hygiene products while another 800 million lack regular access to clean water.

What’s This About?

One way to address that disparity is to produce, sell, and distribute toilet paper and diapers more efficiently so that they’re both available and affordable to everyone. At Essity AB, Sweden’s leading producer of hygiene and health products and solutions, that challenge has fallen to experts like Robert Sjöström, senior vice president of Strategy and Business Development. The answers lie in the digital world.

At the recent ThinkX event in Stockholm co-sponsored by SAP and Singularity University, Sjöström described how Essity is automating its factories with AI-driven technology to enable waste reduction, use less energy, improve quality, and reduce costs by rethinking how human workers impact the production process.

“Digitalization will impact the entire company, and we expect to develop our employees to perform other tasks,” he said. “We’re using robotics to optimize processes and to eliminate as much manual work as possible.”

Let’s not forget that machines were not invented to lighten the load of laborers but to increase output and value. In fact, toilet paper factories are already completely automated. While human beings may oversee the production line, they are largely removed from the operation. From the first stage to the last, toilet paper is made by a series of ingenious machines strung together by a system of conveyors.

But today it’s not enough to just create value through growth. Today, value must be sustainable over time.

Why It Matters

“We create business value by meeting society’s most basic needs,” Sjöström says. “But the way we produce paper has not changed for hundreds of years.”

Wood chips are still processed into pulp that’s dried and formed into sheets, a process that hasn’t changed fundamentally since the company was formed. Originally a forest products company with roots in the 1850s, the new name Essity was implemented last year symbolizing essentials that are necessities. The fiber for Essity’s products comes from responsibly managed forests with a respect for biodiversity and fair labor conditions.

“What is changing is how we process materials in a more sustainable way and how we use technology to be more efficient,” Sjöström says.

Such changes require an innovation process that is deeply embedded in a company’s strategy and business model. At Essity, innovation activities are driven by market trends, customer and consumer insight, new technology, and new business models, which all require new skills and mindsets. The role of human workers will shift away from manufacturing and toward running the business.

“We will create new positions in the company such as digital analysts and robotic experts, so we’ll need to recruit more people with strong mathematical and digital capabilities. It’s also very important that our IT people have a better understanding of the business,” says Sjöström. “Management must stop thinking in a linear way about budgets and start thinking about how to train our brains to be more open minded, to better understand data, to be less emotional and more fact based.”

And while it’s true that machines can be more efficient than humans, Sjöström believes the human touch will be more important than ever.

“Our products will continue to be used in a traditional way in homes, but with machines taking care of processes in hospitals, for example, instead of running around looking for supplies or filling out paperwork to maintain stocks of hygiene products, nurses will actually have more time to care for patients at the bedside where it really counts,” he adds.

Good for People, Good for Business

New technologies like machine learning are making it possible to automate routine tasks, which means efficiency will no longer be a differentiator. What will make a difference to the long-term relevance of a company is its reason for being. It’s no coincidence that Essity has made it a mission to improve health and well-being through personal and professional hygiene solutions in full alignment with the global United Nations Sustainable Development Goals (SDGs).

Essity’s rigorous commitment to the SDGs means it aims to improve the well-being of people all over the world and create business opportunities as well. For example, Essity is helping to stop the spread of disease with hand washing programs in schools and to break taboos about menstruation and incontinence in collaboration with organizations like the Water Supply and Sanitation Collaborative Council (WSSCC). At the same time, its commitment to sustainable supply chain opens new opportunities for suppliers in all areas from fiber sourcing to water and waste management to climate and energy.

And last, but not least, employees feel good about their work because they understand their role in making the world a better place.

Categories: What's New

Driving Breakthrough Business Outcomes with Data

SAP News - Mon, 04/23/2018 - 10:15
Previously, I wrote about my transformative experience in building up the global data business for SAP, sharing my personal views on how to bring a startup to laser-focused execution and relentlessly drive customer success.

Data and technology have helped businesses evolve so rapidly that in just the past year, innovative technologies and capabilities such as data science, artificial intelligence, data analytics, and Big Data processing have allowed businesses to benefit from data in ways unimaginable before.

New, innovative technologies have allowed businesses to benefit from data in ways unimaginable before

“Go break through with your data” is my advice to every business. Why? Because data powers competitiveness and growth across industries and business processes. Transactional data augmented with additional data sources generate what I call “new intelligence.”

Take the retail industry for example. Retailers today can connect customers’ e-commerce records with social media activities and hyperlocal data to get the pulse of the neighborhood. Couple this with in-store, point-of-sale data as well as behavioral data from loyalty programs, we end up with an unbeatable, personalized consumer experience.

Now, if you infused the newly gained consumer insights into intelligent assortment and supply chain processes, you would have a smart supply chain that constantly ensures the proper merchandise is in stock. Such a closed-loop value chain, which is driven by edge intelligence on consumer behavior and trend patterns, redefines the rulebook.

The Why: Love the Problem, Not the Technology

The possibilities of technology are incredibly exciting; however, technology is always a means, never an end destination. Lead with strategic direction and be clear on what you are targeting with data-driven innovations.

Ask the following questions: What is the purpose of your digital transformation? Which growth opportunities can be captured through data and will lead your business into the future? Are you looking to gain competitive differentiation or pioneer digital data-driven services to establish a new source of revenue? From supply chain to manufacturing to serving your customer, how much friction is due to dispersed systems that aren’t harmonized and semantically integrated?

The How: Team and Customer Focus

The main challenge for data monetization is building a solid foundation for running a new, scalable and profitable data business. You overcome it by focusing on creating horizontally connected teams and putting customers first. Install small teams at the edge of the organization with a clear vision and strategy that aim to drive rapid business outcomes. Ensure that they’re horizontally connected to include a mix of talented outsiders and forward-thinking corporate veterans, who help keep the bonds with the core business and break down silos between core and edge teams.

In addition, ensure that customer experience is at the forefront of your business. The customer experience must be simple and frictionless despite the underlying complexity, where technology is invisible. We have developed a customer-centric approach using design thinking, a practice that focuses on feedback loops and iterative prototypes.

The What: Execution Strategy

Data-driven innovation does not happen by accident, it requires strategic focus and operational perseverance. Developing data applications is about building smart applications that focus on solving specific business problems, using new data insights to make predictions and prescribe and execute actions. Here are my four suggestions for building data-driven products.

  • Working with data – fairness matters: Reliable and high-quality data is a must-have. When enriched with other data sources and processed using with machine learning algorithms, the value of data increases immensely. Go for the infinite possibilities but temper with a dose of reality. Why? Not all data is created equal and being aware of bias in the data is crucial for understanding the extent of a model’s accuracy and avoiding shortcomings on algorithms and biased models.
  • Think transparency, no black box: Ensure model transparency and that algorithms remain accurate over time, meaning the reasoning behind a decision or recommendation can be explained at any time.
  • Build in circular learning loops: Data-driven applications operate on diverse data sources, combining analytical and operational data to predict and prescribe what to do next by providing transparency and relevant insights in the form of industry benchmarks and peer-to-peer comparisons. Simulation capabilities and recommended actions based on algorithms guide the user in the decision-making process. Incorporate user-generated behavioral data and improve recommendations by correlating interactions back to the source of data to close the loop.
  • Combine data and domain expertise: This is crucial because data-driven applications solve new problems in new ways by connecting the right data in a meaningful and contextualized way. The creation of value becomes much more problem-solving focused, providing solution for industries and for horizontal business functions like human resources, sales or finance. Use your domain expertise to find what problem to solve and let the data lead to new insights and signals. The best algorithms are the ones based on contextualized domain knowledge on processes in combination with data and behavior.

Get your data to drive breakthrough business outcomes. Stay tuned for my next piece on discovering how data transforms the bimodal world of IT.

Helen Arnold is president of the SAP Data Network.
Follow Helen on Twitter: @arnold_ih, #SAPDataNetwork.

Categories: What's New

Accenture to Audiocast Investor & Analyst Conference on Wednesday, April 25

Accenture News - Mon, 04/23/2018 - 07:59
NEW YORK; April 23, 2018 – Accenture (NYSE: ACN) will host a live audiocast of its Investor & Analyst Conference on Wednesday, April 25 in New York City. The audiocast will feature remarks by Chairman & CEO Pierre Nanterme, Chief Financial Officer David Rowland and other members of the executive leadership team, and will focus on Accenture’s business strategy and unique leadership position in the market.
Categories: What's New

ON-DEMAND WEBINAR with DXC and AWS: Re-platforming the Enterprise for a Life Sciences Connected Ecosystem

CSC Events - Mon, 04/23/2018 - 07:58
Join us for this live webinar to learn how life sciences organizations can take advantage of the agility, transparency, and consistency of the cloud platforms to implement quality controls for regulated systems.
Categories: Events

SAP Introduces SAP Digital Manufacturing Cloud

SAP News - Mon, 04/23/2018 - 04:00
HANNOVER — SAP SE (NYSE: SAP) today introduced the release of SAP Digital Manufacturing Cloud, a new solution to help companies optimize performance, elevate production quality and efficiency, and ensure worker safety.

Drawing on SAP’s expertise in the Industrial Internet of Things (IIoT), predictive analytics and supply networks, the solution enables manufacturers to deploy Industry 4.0 technologies in the cloud. The announcement was made at Hannover Messe 2018, being held April 23–27 in Hannover, Germany.

The new cloud solution extends and complements the digital manufacturing portfolio of on-premise solutions from SAP and is available in different bundles to serve manufacturers of varying sizes in both discrete and process industries and roles within their respective organizations.

SAP customers can choose from the SAP Digital Manufacturing Cloud solution for execution, which provides all solutions in the manufacturing cloud portfolio, or the SAP Digital Manufacturing Cloud solution for insights, which focuses on performance management and predictive quality.

“Manufacturers in the era of Industry 4.0 require solutions that are intelligent, networked and predictive,” said Bernd Leukert, ember of the Executive Board of SAP SE, Products & Innovation. “Our manufacturing cloud solutions help customers take advantage of the Industrial Internet of Things by connecting equipment, people and operations across the extended digital supply chain and tightly integrating manufacturing with business operations.”

SAP Digital Manufacturing Cloud includes the following:

  • SAP Digital Manufacturing Cloud for execution: Industry0-enabled shop floor solution features “lot size one” and paperless production capabilities. It integrates business systems with the shop floor, allowing for complete component and material-level visibility for single and global installations.
  • SAP Digital Manufacturing Cloud for insights: Centralized, data-driven performance management enables key stakeholders to achieve best-in-class manufacturing performance and operations.
  • Predictive quality: This helps manufacturers gain valuable insights to conform to specifications across processes and streamline quality management. It also allows manufacturers to apply predictive algorithms that can reduce losses from defects, deficiencies or variations, and recommend corrective actions.
  • Manufacturing network: The network provides a cloud-based collaborative platform integrated with SAP Ariba solutions connecting customers with manufacturing service providers, such as suppliers of 3D and computer numerical control (CNC) printing services, material providers, original equipment manufacturers (OEM) and technical certification companies. (See companion SAP Ariba solution announcement here.)

Also at Hannover Messe 2018, SAP announced SAP Connected Worker Safety, a solution designed to reduce risks, costs and protect employees. Information from wearables and other sensor-enabled equipment can help companies react immediately to a hazardous situation or incident while proactively managing worker fatigue and other hazard inducers. Real-time information allows monitoring of compliance at all times against regulatory and other parameters. For more information, see the related story.

Availability of the solutions is expected by the end of the second quarter of 2018.

More information on digital manufacturing solutions from SAP is available here.

Visit the SAP News Center. Follow SAP on Twitter at @sapnews.

About SAP

As market leader in enterprise application software, SAP (NYSE: SAP) helps companies of all sizes and industries run better. From back office to boardroom, warehouse to storefront, desktop to mobile device – SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition. SAP applications and services enable more than 378,000 business and public sector customers to operate profitably, adapt continuously, and grow sustainably. For more information, visit www.sap.com.

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Any statements contained in this document that are not historical facts are forward-looking statements as defined in the U.S. Private Securities Litigation Reform Act of 1995. Words such as “anticipate,” “believe,” “estimate,” “expect,” “forecast,” “intend,” “may,” “plan,” “project,” “predict,” “should” and “will” and similar expressions as they relate to SAP are intended to identify such forward-looking statements. SAP undertakes no obligation to publicly update or revise any forward-looking statements. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. The factors that could affect SAP’s future financial results are discussed more fully in SAP’s filings with the U.S. Securities and Exchange Commission (“SEC”), including SAP’s most recent Annual Report on Form 20-F filed with the SEC. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates.
© 2018 SAP SE. All rights reserved.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE in Germany and other countries. Please see http://www.sap.com/corporate-en/legal/copyright/index.epx#trademark for additional trademark information and notices.

Categories: What's New

SAP Unveils Intelligent Product Design Solution and Network of Digital Twins

SAP News - Mon, 04/23/2018 - 04:00
HANNOVER SAP SE (NYSE: SAP) has introduced SAP S/4HANA Cloud for intelligent product design, a new solution for collaborative research and development.

The solution, which is built on SAP Cloud Platform using SAP’s latest digital twin technology, is one of the building blocks for a network of digital twins to enable new business models. The announcement was made at Hannover Messe 2018, being held April 23–27 in Hannover, Germany.

Powered by SAP Leonardo and integrated with business processes in the digital core, SAP S/4HANA Cloud for intelligent product design (see the video) enables customers to accelerate product design and development with requirement-driven systems engineering and instant collaboration across an extended network of suppliers and partners.

“The solution provides shared views of digital twin information for customers to gain live insights on new products and to store, share and review engineering documents with internal and external participants,” said Bernd Leukert, Member of the Executive Board of SAP SE, Products & Innovation. “We continue to introduce innovations to help our customers transform from the core and across the extended digital supply chain.”

SAP’s network of digital twins synchronizes the virtual, physical, conditional and commercial definitions of assets and products in real time to accelerate innovation, optimize operating performance, predict service requirements, improve diagnostics and enhance decision-making. It enables new levels of collaboration among manufacturers of products, operators of assets, suppliers and service companies. The approach combines digital twins with manufacturing solutions from SAP, cloud networks and SAP Leonardo capabilities, including machine learning, blockchain and Internet of Things (IoT), to optimize the product lifecycle with:

  • Digital representation: SAP synchronizes digital twin business data, product information, asset master data and IoT-connected data from both on-premise and cloud solutions enabling companies to represent the world digitally. Solutions including SAP Predictive Engineering Insights, SAP Predictive Maintenance and Service and the SAP 3D Visual Enterprise applications provide access to rich data processing capabilities and live configuration, state, condition and control information.
  • Business process: Rich enterprise-grade data processing capabilities allow customers to create, access and update digital twins to support business processes. SAP solutions provide an integrated data model from design, production and maintenance to service, including packaged integration to existing systems for computer-aided design, ERP, and product lifecycle management. Offerings providing end-to-end process support for manufacturers and operators include SAP S/4HANA, the SAP Engineering Control Center integration tool, SAP Hybris Service Cloud solutions, and the SAP Manufacturing Integration and Intelligence and SAP Manufacturing Execution applications.
  • Business networks: With leading network offerings such as SAP Ariba solutions, SAP Asset Intelligence Network, and the SAP Distributed Manufacturing application, SAP is uniquely positioned to provide a virtual platform for collaboration on products and assets. The network of digital twins enables secure data access, sharing and governance on a global scale.
  • Networks of digital representation: SAP enables twin-to-twin connections in systems within a specific asset and on an asset-to-asset level. SAP solutions such as SAP Asset Intelligence Network provide semantic and industry-standards support in an asset core modeling environment to enable live enrichment during the product or asset lifecycle.

More information on SAP’s digital twin technology is available here.

Visit the SAP News Center. Follow SAP on Twitter at @sapnews.

About SAP

As market leader in enterprise application software, SAP (NYSE: SAP) helps companies of all sizes and industries run better. From back office to boardroom, warehouse to storefront, desktop to mobile device – SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition. SAP applications and services enable more than 378,000 business and public sector customers to operate profitably, adapt continuously, and grow sustainably. For more information, visit www.sap.com.

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Categories: What's New

When Every Second Counts: Safeguarding Employees with SAP Connected Worker Safety

SAP News - Mon, 04/23/2018 - 03:59
Instead of reactively getting workers out of hazardous situations, it is now possible to identify the first signs of risk as soon as they arise.

With the Internet of Things (IoT), the SAP Connected Worker Safety solution offers a platform that allows project managers as well as health and safety personnel across industries to access the data collected by various IoT devices in real time.

While in the past it was merely possibly to react to health-threatening incidents at work after they had occurred and do root cause analysis after the fact, at present it has become possible to proactively identify hazards through regulations and risk assessments. SAP Connected Worker Safety enables customers to do the next step–predictive analytics by monitoring workers and environment in real time to identify potential risks at runtime.

IoT Solution to Identify Potential Safety Risks in Real Time

Launched at Hannover Messe 2018, SAP Connected Worker Safety was developed in a co-innovation project for the transportation industry between SAP and NTT in Japan. Key prerequisites to the new solution are IoT sensors collecting data in working environments on both workers–e. g. their heart rates and body temperature–and the environment, such as air quality, temperature, light, and noise. Based on the sensors, the application also raises alarms on incidents, e.g. falls, injuries, dehydration, or fatigue.

The most prominent pain point when it comes to IoT scenarios within worker safety has always been that users had to rely on different platforms to monitor the data from various devices by different manufacturers. This problem has finally been solved by SAP Connected Worker Safety through the introduction of a generic platform that connects all data, wearables, and other IoT devices to be monitored by safety experts in one dashboard.

Due to this real-time integration, it becomes possible to directly analyze the incoming data in order to prevent workers from getting into hazardous situations in the first place.

Versatile IoT Solution for Predictive Analytics

Its versatility makes the solution special: SAP Connected Worker Safety was developed not for a singular industry but to address the needs of any industry where workers can make contact with hazardous materials or encounter dangerous situations apply.

“A classic example is mining,” solution owner Christian Polivka explains. “A very common danger to workers underground is lack of oxygen or blackdamp in the air. Workers used to take canary birds with them because they react very sensitively to changes in the composition of air long before humans start to take notice. Nowadays, IoT sensors send updates on the mixture of gases in the tunnels so it has become possible to constantly monitor all health-relevant components. SAP Connected Worker Safety does the next step by connecting the data to enable health and safety to do predictive analytics on the situation underground, thus making sure that workers won’t get into danger at all.“

Release to customer is planned for later in the second quarter of 2018, planned product enhancements to SAP Connected Worker Safety in 2018 include the output of location-based real-time information to workers, such as historic incident data as well as hazards, controls and personal protective equipment via SAP EHS. Further planned is the integration of SAP SuccesFactors for training and qualification purposes as well as person-related exposure and biometric histories.

Categories: What's New

Events

CSC Events - Sun, 04/22/2018 - 21:00
Australia Events
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Success Stories

CSC Videos - Sun, 04/22/2018 - 19:57
A selection of DXC case studies related to SAP.
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