SAP Solutions 2019-09-26T13:19:40+00:00

Successful business operations are built on highly efficient planning, managing, and resource utilization. Enterprise Resources Planning, also known as ERP, supports businesses in managing their key resources, informs strategic decision-making, and streamlines decision-making processes. As businesses increasingly adopt digital technologies, they need to ensure that their IT infrastructures possess sufficient capacity in handling the overwhelming amounts of data generated by cutting-edge technologies. Similarly, ERP systems must adapt to new trends. They should be deployed and integrated in a way that is secure, flexible, driven by data, and compliant with standards and regulations. ERP systems that achieve these goals will catapult the enterprise to success.
Businesses seeking digital transformation must address these three challenges:
1. Existing infrastructure may afford limited scalability, and it takes too long to install new facilities, preventing businesses from adapting to rapid changes in the industry.
2. In order to successfully adapt to rapid changes in the industry, businesses must sharpen their competitive edges by tapping into their structured data.
3. Data are important assets for businesses. It is vital to protect corporate data automatically and compliantly.

To help your business address these challenges, eCloudvalley offers an integrated SAP IaaS solution, a service that extracts key data from cloud-based SAP solutions, conduct analytics on the data, and use the results to help you build a framework for digital transformation.

Five major advantages of using SAP solutions on AWS.

Reliability and safety.

SAP’s journey to the cloud

Phase 1

Migrating SAP to AWS.

  • SAP schema migration (not an upgrade)
  • Near zero down time during migration
  • SAP disaster recovery service

Phase 2

Introducing SysOps and DevOps.

  • Customized integration of SAP solutions
  • Automatic tools for SAP operation, maintenance, and resource allocation
  • Designing and introducing SAP DevOps framework

Phase 3

Upgrading SAP system to

  • SAP Well-Architect on Cloud
  • Introducing SAP x/4HANA
  • Upgrading SAP technology platform

Phase 4

SAP-based big data analytics

  • Designing and incorporating solutions for SAP/non SAP data lake
  • Integrating AWS IoT and SAP. Conducting data analytics
  • Incorporating framework for self-service data analytics

Phase 5

Incorporating AI into
SAP system

  • Building and incorporating AWS AI model
  • Integrating SAP system and AI solutions

*There are more services available. Please contact us for details.

Why choose eCloudvalley SAP team?


We are an experienced partner in cloud technology

eCloudvalley is the first AWS premier Consulting Partner in the greater China area. We have obtained multiple AWS competencies, including MSP, Data & Analytics, Mobile, IoT, and well-Architected. We have served thousands of clients by providing them with cloud migration service, DevOps, Data solutions, container services, serverless computing services, SAP solutions. We excel at offering customized services designed according to the specific needs of our clients.

AWS Certification

We possess capability in providing comprehensive technical support.

eCloudvalley offers end to end technical support, including building framework for SAP, operation and maintenance of SAP BASIS, SAP automation, and AWS cloud operation and maintenance tool. Our clients use the services we offer to enhance the value of their SAP systems and reduce the TCO (Total Cost of Ownership) of owning SAP solutions.

deployments on AWS

We help our clients engage in digital transformation.

eCloudvalley offers comprehensive services that assist businesses in realizing digital transformation. We help businesses incorporate new data architectures and offer new technologies that can be deeply integrated with SAP solutions, enabling our clients to enjoy the new values SAP data can yield.

More applications

Enjoy customized data extraction routes

You can conduct analytics on SAP data to identify how variables such as weather and futures prices affect your business. You can use AWS real-time streaming service to conduct data verification, integration, extraction, and modeling. The fee you pay is linked to the flow of data. In other words, you only have to pay for what you use, significantly reducing the cost of deploying infrastructures.

Tap into unlimited sources of data

Once you start tapping the flexible data storage and data handling capacity offered by AWS, no longer do you have to speculate the amount of data you would use and overspend because of wrong guesses. AWS’s data lake solution can be used to store huge amounts of data and can be integrated with SAP HANA to create a federation query system, which reduces the cost of owning huge analytics system.

Discover new values through self-service data analytics

You can build data models to run analytics on your own according to your specific needs, reducing the cost of repeated analytic reports and expediting the reporting process. You can simply extract crucial data which benefits your decision-making. Therefore, cutting down the cost of ownership from dashboard and reporting system is no longer a miracle. AWS allows you to expand or downsize resource capacity according to actual demands.


Simplify delivery and Risk Management

You can use tools like AWS DevOps, AWS CloudTrail, and Amazon CloudWatch to identify key factors for configurating and optimizing application delivery. You can also use these tools to better understand the risks of deployment in PRD environment and automatically deploy/restore SAP environment with the help of AWS CloudFormation.

Develop faster and better

The combination of SAP Gateway and AWS API Gatewway delivers SAP API which deploy OData/SAPUI5 for SAP Fiori and SOAP for system integration automatically.
To fasten application development and assure quality, AWS CodeBuild and AWS CodePipeline shorten development lifecycle and QA tests by preventing human interaction and human error.

Focus on innovation and expansion

You can integrate SAP solutions with non-SAP solutions, thereby placing more business processes under optimal management. You can integrate ABAP Workbench, NWDI, and Solution Manager, and adopt a CI/DI approach to boost innovation, allowing your business to focus more on expansion.


Cloud-based services build a secure IoT network

Data Protection and cyberattack defense become a simple work by using cloud-based services, namely AWS IoT Core, AWS IoT Device Defender, Trusted Advisor, Amazon GuardDuty, AWS Config, and Amazon FreeRTOS. These services fortify devices, enhance user authentication and P2P security, as well as access monitoring.

Use resources automatically and flexibly

You can use services like AWS IoT Device Management and AWS IoT Events to automatically monitor the sensors’ use of resources and respond to sensors’ signals. You can use Amazon SNS, Amazon SQS, and Amazon Kinesis to build serverless architectures that are highly scalable and highly available, thereby reducing unnecessary costs and optimizing resource usage.

Integrate SAP S/4HANA and facilitate decision-making

Integrating smart factory, smart warehouse, and smart timesheet systems, the AWS IoT Greengrass and AWS Lambda allows automatic transaction into SAP S/4HANA through MQTT Protocol, Odata, and RFC. Moreover, consolidated reports can be generated using data warehouse and data analytics, which informs decision-making along with AWS IoT SiteWise and Amazon SageMaker.


Decision-making with expert knowledge

Transform industry experience and domain knowledge, such as cost of certain raw materials in a given season, into model parameters to build AI models which provides real-time data for an optimized decision-making.

Enhance efficiency and productivity

Validate SAP system data accuracy with the help of AI-powered chatbots and automation in real-time. This deducts trouble shooting time and effort by preventing to frequent errors which usually requires human effort among systems.

Precise production forecast

Train data models with the external factors, such as sales order, material stock, weather forecasts and transportation data. The machine learning comes out with beneficial data, namely an effective combination of material supplier and delivery date which can accelerate an accurate production planning and scheduling.


Build your customized SAP solution

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