Read-only access to SAP
DataVolumeIQ does not insert, update or delete SAP data, change SAP configuration, or execute archiving, housekeeping or optimization jobs in SAP.
DataVolumeIQ · ERP Data Volume Intelligence
Control ERP data growth.
Plan a smaller data footprint.
Designed for use with SAP® software, DataVolumeIQ gives platform, Basis, DVM and governance teams a unified view of data growth, evidence-driven SAP HANA® memory reduction, archiving and ILM readiness, automated recommendations, SAP S/4HANA® & RISE with SAP® transformation impact and measurable value realization.
Read-only SAP analysis · Approved technical metadata · No changes to SAP systems or data
SAP DVMSAP HANA® Memory ReductionNSE analysisData ArchivingILM & ComplianceAutomated RecommendationsSAP S/4HANA® & RISE with SAP®System Applicability & Remediation
ERP data
Data growth intelligence
Memory
Memory & disk optimization
ILM
Retention & destruction readiness
Migration
Transformation intelligence
Business outcomes
Turn SAP data volume into a managed business outcome.
Control ERP data growth
See where growth is coming from by system, module, table, age and business context.
Plan a smaller data footprint
Prioritize memory, disk, housekeeping and archiving opportunities before adding capacity.
Govern archiving & ILM
Bring retention, residency, legal holds and destruction readiness into one evidence-led workflow.
Prepare for SAP S/4HANA® & RISE with SAP®
Model footprint reduction, migration scenarios and historical-data strategies before transformation.
Read-only SAP analysis
Understand your SAP data. Keep changes in your control.
DataVolumeIQ provides analysis and recommendations from approved technical metadata. It makes no changes to your SAP systems or the data they hold. Any implementation is performed separately by your authorized SAP team through your change-control process.
Technical metadata for analysis
Analyze table and archive sizes, record counts, aggregated data-date ranges, last observed read or access activity where available, growth rates, and memory or disk utilization.
Business and personal data excluded
Business-document contents, transaction-level business values, SAP user information and personally identifiable information (PII) are outside the intended SAP analysis scope and must be excluded from approved extracts.
Customer-approved, least-privilege collectors and extracts define the collection scope. Review custom uploads, free-text logs and SQL diagnostics at source to remove business values, identifiers and personal information before sharing. DataVolumeIQ does not guarantee that an arbitrary uploaded file is free of sensitive content.
Portal account details, contact information supplied in a demo request, and administrator-entered ownership or approval information are separate from SAP technical metadata and are handled for the relevant service purpose.
Why DataVolumeIQ
More than a dashboard. More than an archive tool.
SAP teams already have operational tools for database administration, archiving and lifecycle management. DataVolumeIQ adds the intelligence layer that connects those domains, explains priorities and helps teams govern outcomes.
Cross-domain SAP intelligence
Correlate technical SAP volume, SAP HANA® consumption, archiving context, ILM controls, security posture and financial impact in one decision layer.
Explainable recommendations
Trace recommendations back to systems, tables, SAP HANA® diagnostics, archiving objects, policies, rule IDs, evidence classes, confidence and source datasets instead of relying on opaque scores.
Governed execution
Connect analysis to approvals, evidence, exceptions, verification and audit history while keeping production execution in customer-approved SAP operational procedures and tools.
Value realization
Move beyond theoretical savings by linking reduction opportunities to tracked actions and finance-ready value evidence.
Platform
Purpose-built for SAP data volume management.
DataVolumeIQ brings SAP DVM, SAP HANA® optimization, archiving, ILM, system applicability, scenario planning and value realization into one role-based enterprise platform.
Evidence & Lifecycle
Collect, review and approve evidence, then verify database reduction, reclaimed capacity and finance-accepted value in sequence.
Verified Outcomes
Keep modeled opportunities, measured database reduction, reclaimed capacity and finance-accepted value separate.
Customer Roles & Functional Scope
Give executives high-level dashboards and scenarios, functional owners their assigned areas, and administrators tenant configuration controls.
ERP Data Growth Intelligence
Analyze database size, monthly growth, modules, tables, data age and reduction potential across the SAP landscape.
Memory Optimization Analysis
Correlate column memory, compression, delta, NSE, unloads, heap, SQL peak memory, LOB, partitioning and reclaim evidence through the Memory Reduction Cockpit.
Archiving Intelligence
Prioritize archiving objects, validated eligibility, execution readiness and technical housekeeping, with ECC/S/4 installed-object inventory and dependency context.
ILM & Compliance
Bring retention, residency, legal holds, policy evidence and destruction readiness into a governed lifecycle.
DVM Intelligence Graph
Connect systems, modules, tables, archiving objects, policies, risks and actions into explainable insight chains.
ERP Data Digital Twin
Model archive, aging, compression, retention and transformation scenarios before making production decisions.
Evidence-Driven Planning
Automatically populate recommendations from uploaded SAP evidence, collapse duplicates, expose confidence/provenance and turn findings into governed actions.
System Applicability & Remediation
Use ABAP-based installed component inventory and applied SAP Notes to assess applicability, track remediation and document exceptions.
DVIQ AI Copilot
Ask contextual questions, summarize findings and accelerate analysis using the evidence already available in the platform.
What the platform measures
Evidence that supports SAP data-volume decisions.
DataVolumeIQ focuses on decision-relevant measures rather than vanity metrics. Customer values are calculated from the evidence loaded for each tenant.
Database footprint
Current size and growth
SAP HANA® memory & disk
Utilization and reduction context
NSE warm-data candidates
Advisor recommendations, confidence and PAGE footprint
Archiving backlog
Eligible volume not yet actioned
Data age & policy evidence
Chronological age kept separate from residence, retention and validated eligibility
SAP HANA® memory reduction
Measured memory contributors, SAP Advisor evidence and governed technical review actions
Recommendation provenance
Rule, confidence, evidence class and source datasets
Value realization
Tracked outcomes and finance evidence
Special service
Memory Reduction Cockpit
A focused DataVolumeIQ service for SAP HANA® teams that need to understand where memory is consumed, which technical reduction levers are supported by actual evidence, and what should be reviewed next.
The cockpit correlates SAP HANA® memory, column, NSE, unload, heap, SQL, LOB, partition and reclaim datasets without mixing working memory, transient counters or modeled opportunity into realized savings.
Available through the Database Fragmentation & Reclaim add-on. Book a demo to discuss the assessment scope and receive service pricing. Access follows the purchased service and assigned role permissions.
Explore the Memory Reduction serviceColumn-store footprint
Main, delta, page-loadable memory, compression evidence and column-level contributors.
NSE Advisor evidence
PAGE/COLUMN recommendations, confidence and physical footprint with governed review thresholds.
Memory-pressure diagnostics
Unload events, heap consumers, reclaim activity and service-memory context.
SQL working memory
Peak statement-memory evidence kept separate from persistent table footprint.
Technical reduction actions
Compression, delta merge, LOB and partition reviews generated from uploaded evidence.
Evidence guardrails
Modeled relief, candidate footprint and measured outcomes remain clearly separated.
SAP Advisor + measured evidence
Recommendations are grounded in uploaded technical datasets.
Automatic recommendation refresh
New uploads recalculate the execution queue automatically.
Confidence & provenance
Rule ID, confidence, evidence class and source feeds stay visible.
Value realization
Actual memory reduction remains separate from modeled or candidate relief.
SAP HANA® native storage extension
Turn NSE Advisor output into governed warm-data decisions.
SAP HANA® native storage extension (NSE) is designed for warm, less-frequently accessed data that does not need to stay fully loaded in memory. DataVolumeIQ brings NSE Advisor evidence into Cold Data & Usage Analysis so teams can review SAP recommendations alongside read, write, unload and access context.
A PAGE recommendation is a technical warm-data placement recommendation. It is not automatic archiving eligibility, deletion authorization, compliance approval, realized memory savings or financial value. DataVolumeIQ analyzes supplied evidence; it does not enable NSE, change load units or move data.
Advisor Recommendations
Total workload-based NSE Advisor recommendations available for review.
PAGE Candidates
Objects SAP HANA® recommends evaluating for page-loadable warm-data placement.
COLUMN Candidates
Objects recommended to remain column-loadable for workload performance.
High Confidence
Recommendations with stronger advisor confidence, helping teams prioritize review.
PAGE Candidate Footprint
Physical footprint associated with PAGE recommendations — shown as footprint, not assumed savings.
Currently PAGE-Loaded
Visibility into recommendations already configured as page-loadable where current load-unit evidence is available.
Recommendation scope
Table · partition · column
Load-unit context
Recommended PAGE or COLUMN, plus current load unit where available
Workload evidence
Read count · write count · bytes read/written · unload history · last activity
Decision context
Confidence · memory footprint · physical footprint · cold-data signals
Evidence acquisition
Fewer uploads. Better provenance.
DataVolumeIQ consolidates technical collection into recommended extraction packs instead of forcing customers to manage a separate SQL or ABAP extract for every dashboard.
Bulk-upload result files from a pack and route them to the correct logical datasets automatically.
Different data grains remain separate, avoiding incorrect joins between table, column, partition, SQL, event and LOB evidence.
Package completion shows which expected datasets have been loaded and which evidence is still missing.
6 SAP HANA® extraction packs
- • SAP HANA® Memory Analysis
- • SAP HANA® Usage & NSE Analysis
- • SAP HANA® Table & Partition Analysis
- • SAP HANA® Infrastructure Analysis
- • SAP HANA® Performance & Memory Diagnostics
- • SAP HANA® LOB Analysis
3 ABAP extraction packs
- • ABAP System & Security Inventory
- • ABAP DVM & Archiving Analysis
- • ABAP ILM & Compliance
Advanced individual SQL and ABAP programs remain available for specialist use, while the recommended customer workflow stays package-first.
Recommendation intelligence
Recommendations that explain why they exist.
DataVolumeIQ automatically turns uploaded SAP evidence into an execution queue while preserving the distinction between measured facts, SAP advisor output, DataVolumeIQ review guardrails and validated business eligibility.
Automatic refresh
Uploaded datasets are evaluated immediately against the active recommendation rules.
Evidence provenance
Every recommendation can expose rule ID, source feeds, evidence class and confidence.
Validated archiving
Age and DB15 mapping are never treated as archiving eligibility without validated evidence.
Governance blockers
Residence, retention, legal holds and missing evidence remain explicit blockers or review actions.
Evidence & lifecycle
Trace an opportunity through to accepted value.
Estimated opportunity, approved scope, measured reduction, reclaimed capacity and finance-accepted savings remain separate. Each result carries its supporting evidence.
- Step 1
Collect evidence
Upload scoped extracts and establish the system, table and cost baseline.
- Step 2
Review the opportunity
Validate source quality, residence, retention, legal holds and business prerequisites.
- Step 3
Approve the plan
Record business, compliance and technical approvals with evidence.
- Step 4
Measure database reduction
Compare before/after snapshots and record the execution result.
- Step 5
Verify reclaimed capacity
Confirm usable memory or disk capacity separately from logical deletion.
- Step 6
Accept financial value
Record Finance acceptance and supporting cost or invoice evidence.
The right workspace for each stakeholder
Executive
High-level outcomes, forecasts and scenario planning.
SAP Basis / technical lead
System health, SAP HANA®/NSE analysis and technical remediation.
Functional owner
Assigned functional modules and business review.
Compliance / auditor
Policy evidence, legal holds and authorized review or read-only access.
Customer administrator
Team, data-source and tenant administration.
Menus, submenus and actions follow subscription entitlements, assigned role, tenant authorization and functional module scope.
Inside DataVolumeIQ
One platform for the SAP data-volume lifecycle.
Workspaces are organized around SAP DVM decisions — from executive visibility, Data Age and SAP HANA® memory analysis through archiving-object dependencies, ILM, system applicability, automated recommendations, execution and value realization.
Product experience
Executive DVM Overview
Bring database growth, SAP HANA® utilization, reduction potential, archiving backlog, risk and action context into an executive view.
Product experience
Archiving & Intelligence Graph
Move from system and table evidence to validated archiving candidates, SAP HANA® memory-reduction opportunities, dependency-aware archiving context and explainable prioritized actions.
Illustrative product previews with demo data. Available workspaces and controls depend on subscription, purchased services and customer authorization.
SAP S/4HANA® & RISE with SAP®
Reduce the data problem before it becomes a migration problem.
Use DataVolumeIQ to bring footprint reduction, retention, archive continuity and capacity scenarios into transformation planning before sizing and migration decisions are finalized.
Right-size before migration
Model how archiving, housekeeping and data-age strategies can reduce the source footprint before SAP S/4HANA® or RISE with SAP® sizing decisions.
Preserve historical access
Plan how archived and legacy information remains governed and accessible after transformation without carrying unnecessary transactional volume forward.
Align retention & legal requirements
Bring retention, residency, legal holds and destruction readiness into migration planning rather than addressing them after cutover.
Compare transformation scenarios
Evaluate baseline and optimized scenarios for capacity, growth, operational risk and expected value before committing to a target architecture.
SAP architecture
An intelligence layer for SAP data-volume decisions.
DataVolumeIQ reads approved technical SAP metadata, archiving context, SAP HANA® utilization and ILM controls, and analyzes security posture and financial impact without modifying SAP systems or data.
SAP landscape
ECC · SAP S/4HANA® · BW · SAP HANA®
Controlled data acquisition
Approved technical metadata through read-only extracts or read-only SAP connectivity
DataVolumeIQ intelligence
DVM · Archiving · SAP HANA® · ILM · Security · Scenario modelling
Governed decisions
Recommendations · Approvals · Evidence · Value realization
Enterprise design principle: analysis, recommendations and governance should remain explainable and evidence-backed. Production execution, credentials and customer data access should follow least-privilege controls and approved operating procedures.
DVIQ AI Copilot
AI grounded in your DVM evidence.
DVIQ AI accelerates analysis and communication using available DataVolumeIQ evidence. Customer permissions and subscription quotas apply. Review AI conclusions and approve execution through your SAP operating procedures.
Ask the landscape
Query the evidence available within your tenant, system and functional permissions. Keep source references and missing evidence visible.
Explain growth & priorities
Investigate growth drivers, compare planning scenarios and draft next actions with evidence and assumptions.
Create executive summaries
Turn technical findings into concise leadership-ready narratives while keeping source context visible.
How it works
Assess. Optimize. Govern.
Step 1
Assess
Analyze SAP database growth, SAP HANA® usage, data age, tables, modules, archiving backlog and technical risk.
Step 2
Optimize
Prioritize archiving, housekeeping and SAP HANA® reduction opportunities with scenario modelling and savings estimates.
Step 3
Govern & Realize
Apply retention controls, approvals, action tracking and value realization with evidence and auditability.
Enterprise Security & Trust
Built for enterprise SAP governance.
Security, identity, auditability, retention and customer offboarding are treated as platform capabilities, not afterthoughts. Enterprise buyers can review the public security overview and request the current procurement package.
Enterprise identity
SSO / SAML / OIDC support by plan, with MFA-ready identity controls.
Role-based access
Role-specific workspaces and permissions for executive, Basis, DVM, functional, compliance and audit users.
Auditability
Evidence, action history, approvals and exportable audit context for governed decision-making.
Tenant isolation
Customer data and access are designed around tenant-scoped authorization and least-privilege controls.
Retention & resilience
Retention, deletion, backup and offboarding controls are surfaced through enterprise trust workflows.
Security intelligence
SAP Patch Day, applicability, remediation, exceptions and operational security insights in the same platform.
Plans & consultation
The right plan for your SAP landscape.
Book a personalized demo to explore the platform and receive pricing for your systems, services and implementation needs.
Essentials
A focused DVM program for one SAP system.
- SAP systems
- 1 systems
- Named users
- 10 users
- Managed storage
- 100 GB
- Data exports
- 50 exports / month
- DVIQ AI · Evidence Workbench & Copilot
- 250 requests / month
- Data retention
- 12 months
- Initial support response
- 24 business hours
- Included advisory support
- 4 hours / month
- Executive, landscape, module, table and age analysis
- Archiving objects, housekeeping and action tracking
- Savings simulation and basic capacity planning
- Basic ILM visibility and evidence tracking
Professional
An active optimization program across two systems.
- SAP systems
- 2 systems
- Named users
- 50 users
- Managed storage
- 350 GB
- Data exports
- 250 exports / month
- DVIQ AI · Evidence Workbench & Copilot
- 2,000 requests / month
- Direct SAP connectors
- 2 connectors
- Data retention
- 36 months
- Initial support response
- 8 business hours
- Included advisory support
- 8 hours / month
- Essentials analytics, with advanced forecasting
- SAP HANA® cold-data and NSE advisor analysis
- ILM analysis, System Applicability and remediation
- Evidence workflows, audit exports and custom roles
- Direct SAP connectivity configuration for two systems
Enterprise
Governance and planning across four SAP systems.
- SAP systems
- 4 systems
- Named users
- 150 users
- Managed storage
- 800 GB
- Data exports
- 2,000 exports / month
- DVIQ AI · Evidence Workbench & Copilot
- 10,000 requests / month
- Direct SAP connectors
- 4 connectors
- Data retention
- 84 months
- Initial support response
- 4 business hours
- Included advisory support
- 16 hours / month
- Advanced SAP HANA®, ILM and applicability intelligence
- Scenario planning across systems and value realization
- Approval workflows and customer-specific policies
- SSO configuration and API access, subject to deployment support
- Direct SAP connectivity configuration for four systems
One system means one SAP SID. DEV, QAS and PRD each count separately; clients within a SID do not use another slot. Additional systems are available on Enterprise, up to 7 total. Managed storage holds uploaded extracts and evidence. Portal retention does not define retention of SAP archive documents.
Capacity & operational add-ons
Discuss additional capacity and capabilities during your demo. Platform ceilings remain 7 systems, 150 users and 800 GB.
- Additional Enterprise SAP systemEnterprise only
- Additional named users
- Additional managed storage (100 GB)
- Additional AI requests (1,000/month)
- Additional exports (250/month)
- SSO configuration
- Direct SAP connectivity configuration
- Extended portal retention (+12 months)
- Premium support (4 business-hour response)
- System Applicability & Remediation
- SAP HANA® cold-data and NSE analytics
- Audit exports and custom roles
Projects & specialist support
Specialist investigation / planning workshop
SAP S/4HANA® / RISE with SAP® readiness
Archiving / ILM implementation
Migration retrieval assurance
Additional advisory support
10-hour advisory block
Get a proposal built around your requirements
We will review your SAP landscape and explain subscription options, one-time setup, add-ons and specialist services during your demo.
Book a demo to discuss pricingExample outcomes
Focus the conversation on measurable SAP outcomes.
These are the types of outcomes DataVolumeIQ is designed to support. Customer-specific results depend on landscape size, data quality, retention policy, operating model and execution.
Reduce SAP HANA® footprint
Identify memory and disk reduction opportunities before infrastructure expansion or cloud resizing decisions.
Control database growth
Prioritize archiving and housekeeping using data age, growth, technical evidence and business context.
Prepare for SAP S/4HANA® & RISE with SAP®
Model migration footprint and historical-data strategies before transformation planning is locked.
Improve archiving governance
Connect retention, legal holds, destruction readiness, actions and evidence into a repeatable operating model.
FAQ
Common enterprise questions.
Ready to take control of SAP data growth?
See how DataVolumeIQ can help your SAP platform team identify reduction opportunities, govern archiving and ILM, improve SAP HANA® efficiency and prepare for SAP S/4HANA® or RISE with SAP®.