Solution · Data Management & Clean-up
Reduce data volumes. Clean up grown structures.
Analyze and clean up even large, historically grown data volumes yourself. With migRaven.MAX, you identify redundant data and legacy permissions, implement targeted Clean-up measures, and establish sustainable data management.
Reduce data & cut costs
Move legacy data to lower-cost storage or remove it. Less effort for storage, backup, operations, and later migrations.
Simplify structures
Reduce directories and legacy permissions in a targeted way and relieve the burden on administration.
Clean up in a controlled manner
Involve data owners, organize approvals, and implement measures in a traceable way.
Maintain order permanently
Continuous analyses, self-service, and rule-based retention limit new data legacies.
Warum Clean-up in Großsystemen so anspruchsvoll ist
Four typical hurdles – and how migRaven.MAX translates them into concrete measures.
Data volumes grow uncontrollably.
Millions of files accumulate over the years. Whether they are still needed remains unclear; storage, backup, and administration are burdened.Grown structures increase complexity.
Deep directory trees, individual ACLs, redundant permissions, and old groups make access hard to understand and maintenance-intensive.Unclear responsibility slows down decisions.
IT cannot decide on its own which decades-old data can be safely deleted. In large data volumes, assessments become a bottleneck.Nach dem Clean-up beginnt das Wachstum erneut.
Without clear rules and responsibilities, new legacy data accumulates; the next elaborate clean-up effort is only a matter of time.A concrete measure for every hurdle
Four hurdles, four direct answers: migRaven.MAX makes data volumes visible, cleans up permissions, involves the business departments, and creates a permanent data lifecycle.
Make data volumes visible and move them off
MAX analyzes data volume, age, and storage structures. Candidates become visible and can be moved off in a targeted way via Data Retention.
Eliminate legacy permissions
MAX detects legacy permissions and supports the clean-up of unnecessary directories, ACEs, and exceptions; groups that become obsolete can be reviewed.
Let data owners decide
MAX makes data volumes visible to data owners and assigns tasks directly via the interface. Entire directories can be approved quickly after review.
Create a permanent data lifecycle
Rule-based retention, recurring analyses, and fixed responsibilities create a continuous data lifecycle.
Sechs Bausteine für ein beherrschbares Clean-up
Concrete functions that combine data reduction, permissions clean-up, and business decisions.
01 · Comprehensively analyze data volumes – even at large scale
MAX analyzes extensive file server landscapes with millions of files. Data volume, file age, as well as directory and permissions structures are systematically evaluated. Potentials can be narrowed down and prioritized. MAX functions: data analysis · age classes · directory tree · scan comparisons
02 · Automate data clean-up and reduce data volumes
Select legacy data in a targeted way and archive it via Data Retention. Recurring rules automate the offloading of outdated data; business approval and technical implementation remain separate. MAX functions: ad-hoc retention · rule-based retention · clean-up jobs
0TB
Datenvolumen
0%
älter als 3 Jahre
6,1TB
Auslagerungs-Potenzial
03 · Clean up permission legacies and structures
MAX detects orphaned ACEs, redundant permissions and grown structures. Clean-up jobs derived from analysis results support the removal of unnecessary entries and the review of vacated administrative objects. MAX features: permission analysis · file server Clean-up · orphaned ACEs
04 · Involve data owners and accelerate decisions
IT alone cannot assess the business relevance of large data volumes. MAX shows data owners their storage locations and involves them through assigned tasks. This allows even deeply buried legacy data to be assessed quickly and entire areas to be released. MAX features: file owner analysis · tasks in MAX · departmental approvals
0
verwaiste ACEs
0
redundante Rechte
0
Zweige entfernbar
05 · Continuously optimize data volumes
Clean-up does not end with the first cleanup. Regular analyses, comparable scan results and retention rules support a lasting data lifecycle and limit new legacy data. MAX features: data lifecycle · regular scans · retention rules
06 · Intelligently control Clean-up with Max AI
Max AI helps identify cleanup potential, prioritize measures and choose the next meaningful steps – down to the specific question: "What should I do next now?" MAX features: Max AI · prioritization · planning · recommended actions
From grown data volumes to a clear data landscape
Six steps: analyze, prioritize, decide, clean up, document and organize permanently.
Analyze data volumes
Capture volume, age, directory and permission structures. Make potential transparent.
Assess & prioritize potential
Define candidates and work packages. Max AI helps sort measures by impact and effort.
Involve data owners
Assign tasks; those responsible see forgotten folders and can release entire data areas at short notice.
Clean up in a controlled manner
Outsource or remove released data, reduce permission legacies; observe exceptions and obligations.
Measure & document results
Compare data volumes and permissions before and after implementation; keep decisions and measures traceable.
Establish data management
Retention rules, regular scans and clear responsibility for permanently lean data volumes.
Max AI accompanies all phases: analysis → prioritization → planning → concrete next steps for IT and data owners.
Data clutter becomes a manageable inventory
What changes companies can achieve through systematic Clean-up.
Before
Historically grown data volumes cause unnecessary storage, backup and administrative overhead.
Deep folder structures and individual permissions complicate administration and risk oversight.
Business relevance unclear: IT is unaware of many legacy data sets and decisions remain unresolved.
One-off cleanup actions; without rules, data and exception permissions continue to grow.
With migRaven.MAX
Reduced productive data volumes relieve IT and create savings potential in operations and migrations.
Superfluous data areas and permission legacies are cleaned up; storage becomes clearer.
Data owners see their holdings, receive tasks and can quickly release entire directories.
Rule-based retention and recurring analyses support lasting data management.
Typical Clean-up scenarios – solved in practice
Three practical starting points for your Clean-up.
Identify and remove forgotten data volumes.
Historical project and department storage areas contain sections that are no longer used. MAX shows age and structures; data owners assess entire folders and release data that is no longer needed for deletion. Result: Quick decisions on larger legacy data sets, without having to review every single file.Clean up legacy permissions and directory structures.
Orphaned ACEs, individual permissions and unnecessary directory branches make it difficult to maintain an overview. MAX identifies concrete starting points and supports targeted clean-up. Result: Fewer legacy permissions, clearer access and reduced maintenance effort.Keep data volumes lean on a permanent basis.
Without rules, legacy data quickly reaccumulates after a one-time clean-up. Recurring analyses and data retention turn clean-up into a continuous process. Result: Permanent control instead of regularly recurring large-scale initiatives.Frequently asked questions
to Data Management & Clean-up
Quick orientation on assessment, security, permissions and permanent data reduction. Anything that remains open is clarified directly by ourteam– without detours.
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