Ditching that historic data is the key to refreshing SAP systems

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  1. 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...…

  2. Best Practices for Planning Your mySAP CRM Data Archiving Project

    Archiving dormant data can improve CRM system performance, which is especially critical in today’s mobile CRM deployments. It also can substantially reduce database costs and keep you in compliance with document-retention policies and industry and government regulations. Learn the steps you need to take when planning a CRM archiving project. Key Concept The same archiving...…

  3. a person in an archiving room | SAP data archiving: an introduction

    SAP data archiving: an introduction

    Reading time: 2 mins

    Regular SAP data archiving is an important practice for organizations aiming to stay efficient, agile and environmentally conscious.

  4. Critical Success Factors for Information Lifecycle Management in SAP CRM

    Find out how to bridge the gaps between business requirements, such as having the ability to access information, and IT goals, such as keeping the SAP system maintainable and the data receptors clean, in relation to CRM archiving. Key Concept Information Lifecycle Management (ILM) combines processes and technologies to provide users with the information needed...…

  5. How and Why You Should Archive Data in SAP CRM

    Get an overview of the SAP CRM data archiving process and learn an eight-step method you can use to archive data. Also, find out what you should consider for your SAP CRM data archiving project. Key Concept SAP provides the archive service technology Archive Development Kit (ADK) for implementation of secure and efficient archiving processes....…

  6. Improve Your System Performance by Archiving Data in BW: Part 1

    Archiving BW data reduces its volume, resulting in faster loads and queries. This first article of a three-part series explains the entire process to archive ODS or InfoCube data step by step. Key Concept Archiving is available with BW Release 3.0B and above. You can archive from InfoCubes and ODS tables, but currently you cannot...…

  7. 6 reasons to embrace regular Data Archiving in SAP

    Data archiving in SAP is an essential strategy for organizations to efficiently manage obsolete data, optimize storage costs, enhance system performance, ensure compliance, and contribute to environmental sustainability.

  8. Data Archiving and Retrieval Tips for HR and Payroll

    In the follow-up to his March article on archiving, the author further explains his recent successful archiving project. He shows how to group and prepare your data for archiving. He also discusses two data retrieval functions, Analyze and Archive Information System. In my earlier SAPexperts article, I introduced the HR/Payroll data archiving project that my company...…

  9. Use the Information Life Cycle to Determine Your Archiving Strategy

    Understand the three most popular methods for archiving SAP NetWeaver BW data: SAP Archive Development Kit (ADK), SAP NetWeaver Near-Line Storage (NLS), and the not-so-well-known ADK with NLS. Equip yourself to choose the appropriate method for your needs. Key Concept An organization’s data goes through different life cycle stages. Each life cycle stage calls for...…

  10. Optimize Data Management in All Phases of Your SAP Implementation

    Poor data management can lead to many problems, from incorrect data, to a lack of integration, to bad analysis. Learn ways an effective data management strategy can help you in your efforts to optimize your system’s performance while increasing your compliance and reducing cost. Key Concept Data management is a critical component of running a...…