SAP Data Archiving


What Is Data Archiving?

Data archiving is the process of identifying data that is no longer active or infrequently used and moving it out of production systems into a separate storage device for long-term storing. Data archiving is sometimes referred to as enterprise information archiving, or EIA.

A business may conduct data archiving to meet compliance or information governance requirements, lawsuit management, reduce storage load and costs, or for reasons related to business intelligence.

Today, data’s value potential has increased, and businesses see strategic advantage in having a sound data archiving strategy. They are looking beyond compliance and organizational requirements as drivers of their data archiving strategy to opportunities for gaining competitive insights, reducing costs, and improving performance.

SAP provides SAP Data Archiving service, formerly called SAP Cloud Platform Data Archiving. SAP Data Archiving service runs on SAP Business Technology Platform and offers blocking and archiving capabilities for business data to reduce total cost of ownership.

Many vendors and consulting firms support data archiving. For example, Accenture has developed a data archiving approach which the company applied internally when it needed to migrate its archiving solution from on-premise to the cloud.

And Auritas provides tools that support data archiving, including Archive Scheduling Manager and SAP Data Archiving Tool.

What Is Data Archiving?

Data archiving is the process of identifying data that is no longer active or infrequently used and moving it out of production systems into a separate storage device for long-term storing. Data archiving is sometimes referred to as enterprise information archiving, or EIA.

A business may conduct data archiving to meet compliance or information governance requirements, lawsuit management, reduce storage load and costs, or for reasons related to business intelligence.

Today, data’s value potential has increased, and businesses see strategic advantage in having a sound data archiving strategy. They are looking beyond compliance and organizational requirements as drivers of their data archiving strategy to opportunities for gaining competitive insights, reducing costs, and improving performance.

SAP provides SAP Data Archiving service, formerly called SAP Cloud Platform Data Archiving. SAP Data Archiving service runs on SAP Business Technology Platform and offers blocking and archiving capabilities for business data to reduce total cost of ownership.

Many vendors and consulting firms support data archiving. For example, Accenture has developed a data archiving approach which the company applied internally when it needed to migrate its archiving solution from on-premise to the cloud.

And Auritas provides tools that support data archiving, including Archive Scheduling Manager and SAP Data Archiving Tool.

Data Archiving vs. Backup

Data archiving makes it much easier to index and retrieve specific information. Data archiving allows for the data to remain active and accessible.

A backup, on the other hand, provides a snapshot of the entire system, making it nearly impossible to separate out and move specific data.

Case Study: Nexeo Solutions’ Data Archiving Strategy Ensures Security and Improves Performance

For Nexeo Solutions, an independent chemicals, plastics, and environmental services distribution company, a data archiving project was the second piece of a significant and phased data management journey.

Following a separation from its parent company, Nexeo Solutions undertook a two-part data management project: separate its data from the parent company and archive the data.

Nexeo used a carve-out application to break down the overall data archiving exercise into two distinct phases. The first phase consisted of mass archiving related transactional data that the solution selected according to conditions the company required.

The second phase was a master data carve-out, which increased the complexity of the project. A significant contributor was the company code, which was shared by Nexeo Solutions and the parent company.

Nexeo’s data archiving project concluded in September 2017, resulting in successfully carving out 91% of targeted customers, 88% of targeted vendors, and 72% of targeted materials. The company also achieved a 500GB reduction in the size of its database.

1078 results

  1. How to Design and Develop Flexible Month-End Financial Allocation Solutions

    Published: 08/July/2011

    Reading time: 21 mins

    Find out about best practices and performance improvement tips for designing and developing month-end financial allocations using a combination of Business Planning and Simulation, Integrated Planning, ABAP function modules, and SAP NetWeaver BW. Key Concept The allocation process is performed in two steps, high level and low level. During the high-level allocation, finance data at...…

  2. To get the most out of your mySAP CRM data warehouse, understand how to use the Analysis Process Designer (APD) and data mining capabilities in your SAP BW system.

    Published: 15/November/2005

    Reading time: 18 mins

    To get the most out of your mySAP CRM data warehouse, understand how to use the Analysis Process Designer (APD) and data mining capabilities in your SAP BW system. Key Concept Starting with BW Release 3.5, Analysis Process Designer (APD) includes embedded data mining functionality. The option of using APD in conjunction with data mining...…

  3. Enhance and Simplify Your Data Warehousing with SAP BW 7.5: Live Q&A on the Newest Features and Functions of SAP BW Powered by SAP HANA

    Published: 01/May/2016

    Reading time: 44 mins

    During this live Q&A session, Dr. Bjarne Berg, principal at PwC and speaker at HANA 2016, discussed the new capabilities of the 7.5 edition of SAP BW powered by SAP HANA, and answered readers’ questions on what features have been extended from earlier releases and how to leverage the latest release to improve productivity and…

  4. Information Governance: Setting and Enforcing your Data Policy Decisions

    Published: 01/March/2017

    Reading time: 16 mins

    Matthew Wagnon, Senior Product Manager at BackOffice Associates, answers readers’ questions on setting and enforcing data policy decisions and discusses why this is critical for your business. Read the transcript to learn about: What the initial design and best practices architecture for information governance looks like, and what it will take to establish How policy execution…

  5. business growth image

    How to Leverage SAP BW/4HANA for Big Data and Analytics

    Published: 23/January/2017

    Reading time: 7 mins

    Understand the benefits, design principles, and architecture of SAP BW/4HANA, and learn how to leverage them. Key Concept SAP BW/4HANA is the new SAP HANA data-warehouse product launched in August 2016. SAP BW/4HANA preserves the core functionality of SAP BW and leverages all the features of SAP HANA, such as smart data access, dynamic tiering,...…

  6. Part 1: Data Modeling Strategies to Avoid Data Inaccuracy and Ensure Consistency

    Published: 01/February/2007

    Reading time: 54 mins

    Minimize and eliminate data inconsistency and inaccuracy in SAP NetWeaver BI environments by adopting and adapting the data modeling techniques described here. The author explains the accuracy, benefits, and drawbacks of each. Key Concept Common data modeling approaches produce inconsistent and inaccurate data over time. This results from insufficient understanding of delta processes and different...…

  7. Create a Web Service with SAP BusinessObjects Data Service to Deliver Real-Time Data Quality

    Published: 25/August/2011

    Reading time: 10 mins

    Learn how to create a real-time data quality Web service to deliver accurate and reliable customer data. Explore time-saving tips and tricks for developing a flexible data flow that any application can use to cleanse and standardize data and for configuring an SAP BusinessObjects Data Services server. Key Concept The data quality engine on the...…

  8. Accelerating Information Steward Adoption Through Data Profiling

    Published: 29/August/2014

    Reading time: 15 mins

    Receive hands-on guidance for building a simple prototype for data profiling using SAP’s Data Insight application. The technical and operational framework established during this prototype, combined with the familiarity gained with the application, helps organizations use Information Steward as part of their operational data quality and management procedures. Key Concept Information Steward is a key...…

  9. Two Ways to Connect to Data Sources Using SAP BusinessObjects Cloud

    Published: 12/April/2017

    Reading time: 8 mins

    SAP BusinessObjects Cloud offers data connectivity to many on-premise and cloud data sources. You can either acquire data into SAP BusinessObjects Cloud or connect to the data source in real time without any replication. Learn how you can use each of the data sources available in SAP BusinessObjects Cloud, then review the use cases and...…

  10. Best Practices for Creating a Sound Strategy for Your SAP NetWeaver BW Accelerator Implementation

    Published: 20/March/2009

    Reading time: 57 mins

    /IT/Project ManagementDeciding to add SAP NetWeaver BW Accelerator is a major step for organizations. Although the benefits include much faster query performance, you need to ensure that you fully plan your project. Find out how to approach the initial phases of an SAP NetWeaver BW Accelerator implementation, including project preparation, blueprint, and realization. In addition,...…