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489 results
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Building a Business Data Fabric with Reliable Data
As businesses increasingly depend on data, maintaining its quality is crucial to avoid disruptions, poor decisions, and regulatory penalties; thus, adopting automated, machine learning solutions is essential to ensure data reliability and compliance in a complex digital landscape.
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10 History Cleansing Best Practices for Reliable Statistical Forecasting
Generate the most reliable and accurate sales data history for your statistical forecasting as part of your SAP Advanced Planning & Optimization Demand Planning project. See how to implement an efficient and effective history cleansing process. Key Concept The baseline history of a product is its normal historical demand without promotion, external stimulation, or any other abnormal...…
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What’s even more important than a good tech stack? A reliable HA practice!
With the increasing complexity of ERP systems and the need for high availability (HA) to protect vital data, SIOS Technology Corp.’s automated multitarget disaster recovery software simplifies the management of HA in SAP HANA environments, enabling organizations to ensure data accessibility and disaster recovery without extensive manual scripting.
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Achieving a More Manageable and Reliable R/3 Spool Server Landscape Using Release 4 Output Classifications, Logical Servers, and Alternate Servers
Three new output features give rise to a more manageable, more reliable R/3 spool server environment — classifications, logical servers, and alternate servers. With Release 4, classifications of output devices and spool servers (along the lines of production, high-volume, desktop, and test printing) are now made possible within R/3 itself. This helps you ensure that...…
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What CIOs Need to Know about Building a Scalable Reliable Integration Strategy
Our recent SAPinsider executive research shows that integration is among the top skillsets and technologies customers seek. The reasons why? The overwhelming number of applications being added that need to be connected to SAP is among the top. Also, the increasing demand for flexibility and transparency demands a higher form of integration that goes far…
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Follow a Reliable Project Management Framework for Your SAP Archiving Process
/Project ManagementLearn a project management methodology that is imperative for a successful SAP archiving project. Key Concept SAP data archiving project management entails the process of planning, organizing, and managing resources to ensure the successful implementation of a data volume management strategy called SAP data archiving. Data archiving as a data management concept helps reduce...…
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Building Flexible, Reliable, Distributed Java Applications with the Java Message Service (JMS) — An Introduction to JMS Programming
Enterprise messaging is a critical enabler of distributed business applications. The Java Message Service (JMS) is a set of standard, vendor-independent interfaces that integrate distributed business applications by enabling the guaranteed, asynchronous exchange of messages between independent Java programs through a central messaging server. This article introduces you to the JMS support included in SAP...…
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Building a Highly Reliable SAP Infrastructure
SUSE solutions for SAP environments help you minimize the impact of system outages.
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Understanding SAP’s AI Strategy: Relevant, Reliable and Trusted – Enhance Productivity and Efficiency in Your Organization
Discover how SAP with its deep industry and process knowledge combined with your business data and SAP AI solutions can enhance your business by automating processes, improving decision-making, and improving customer experience. Learn about SAP's approach to delivering Artificial Intelligence (AI) that is built for business, and its dedication to delivering trusted and responsible AI…
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Say No to Downtime: Key Steps Toward Achieving Reliable HA and DR in SAP
To ensure high availability and minimize disruptions in SAP systems, organizations should automate cluster creation, enhance environment protection beyond standard solutions, consider interim measures instead of full failovers, adopt SAN and SANless clusters and implement effective disaster recovery practices.
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