Data Volume Management
Automate variant creation, job scheduling, and progress reporting so your SAP archiving runs reliably, without constant attention from scarce, expert resources.
Book a DemoStandard SAP archiving is a very manual process that requires constant attention and knowledgeable resources to manage. For organizations with large data volumes or over-extended IT teams, it is easy to fall behind on archiving activities, or to archive data incorrectly.
Neev enables organizations to automate the archiving processes, so they can control and sustain the benefits of data archiving across their SAP landscape.
Three core building blocks that turn manual archiving into a hands-off, repeatable process.
Centralized interface to create and maintain variants aligned to archiving objects, organizational entities (company codes, plants, countries), and residency rules — without scattered, error-prone manual setup.
Automate the full archive job chain - write, store, and delete, in the right order, with parallelization and dependency handling, so archiving runs reliably without constant administrator attention.
Real-time visibility into job status, volumes processed, errors, and throughput, so IT and business stakeholders can monitor progress and prove sustained results.
Move from one-off projects to a sustained discipline that protects performance, cost, and compliance.
Automation removes the dependency on individual experts so the gains in performance, cost, and compliance compound over time instead of eroding.
No more manual variant creation, sequencing, or babysitting jobs. Your team focuses on transformation work, not repetitive archive operations.
Standardized variants and sequenced jobs prevent the most common mistakes - wrong residency, missed dependencies, or partial runs, that put data integrity at risk.
Whether you're managing one SAP system or a global landscape, automated archiving keeps pace with rising data volumes without adding headcount.
Join the hundreds of companies unlocking the full potential of their data with Neev.