Why SAP System Users Need a Robust Data Archiving Strategy
The Challenge of Exponential Data Growth for SAP Customers
Companies using SAP software are experiencing extraordinary growth in their data volumes, with data doubling every 12-18 months on average. This rapid expansion is driven by factors like increased digitization, the Internet of Things (IoT), and growing regulatory requirements to retain data.
This data explosion is causing major challenges for SAP system users:
- Application performance is degrading as production databases grow larger, with queries taking longer to complete.
- Storage costs are skyrocketing as more and more data is retained online.
- Compliance risks are increasing as sensitive data accumulates in production and non production systems.
The Need for a Comprehensive Data Archiving Strategy
This data explosion is causing major challenges for SAP system users:
- Transparently moves aged data out of production systems to a dedicated archiving platform.
- Ensures data is retained for the required compliance periods and can be easily retrieved when needed.
- Reduces the footprint of production systems to improve performance and lower storage costs.
- Protects sensitive data by controlling access to archived information.
Key Benefits of SAP Data Archiving
By implementing a robust data archiving strategy, SAP system users can:
- Simplify Green-Field migrations.
- Improve application performance by reducing the data footprint in production systems.
- Lower storage costs by moving aged data to more cost-effective archiving platforms.
- Mitigate compliance risks by retaining data for the required periods and controlling access.
- Gain business insights by making historical data available for analytics and audits.
As data volumes continue to grow exponentially, SAP system users must proactively address the challenges this poses to their systems and processes. A comprehensive data archiving strategy is essential to maintain application performance, control costs, and ensure compliance – while still leveraging the full value of their data.