ArchiveHub ADLM

Autonomous Data Lifecycle Management

Understand growth.
Automate archiving.
Keep control.

See what is driving your SAP data footprint. Automate archiving jobs, variant creation and monitoring, with your specialists providing the expertise and oversight.

Data-growth intelligence · Archiving automation · Human oversight

The ADLM workflow SAP data lifecycle
01 / Understand

See the growth in context.

Business objectsArchiving objects TablesAttachments
Connect analysis to archiving scope
02 / Automate

Put the plan to work.

  • Create job variants
  • Automate archiving jobs
  • Monitor execution
Experts stay in the loop.Scope, decisions and operational oversight
A connected path from SAP data-growth insight to archiving operations.
Two capabilities. One connected workflow.

Know where to focus.
Reduce the recurring work.

Bring data analysis and archiving operations into the same conversation.

01 / Data Growth Intelligence

Understand what is driving your SAP footprint.

Build a 360-degree view of data-volume contributors and connect technical growth with the business and archiving objects behind it.

Business objects
Understand volume in the context of the business information your system holds.
Archiving objects
Examine the archiving scope associated with the areas contributing to growth.
Tables
Identify the database tables contributing to your data footprint.
Attachments
Include attachments in the analysis of your SAP data landscape.

The outcome: A clearer basis for deciding where archiving effort should go.

02 / Archiving Operations Automation

Give specialists more time for decisions.

Automate recurring archiving activities so your archiving, ILM and Basis specialists can focus on the work that needs their judgment.

Job-variant creation
Reduce repetitive preparation of variants for archiving jobs.
Archiving-job automation
Manage recurring archiving work with less manual operational effort.
Job monitoring
Follow execution status and direct specialist attention where it is needed.
Human oversight
Keep specialists involved in scope, decisions and operational review.

The outcome: Less routine execution work. More informed oversight.

From insight to operation

A practical rhythm for
your SAP archiving program.

  1. Analyze growth

    Understand contributors across business objects, archiving objects, tables and attachments.

  2. Agree the scope

    Your specialists assess business needs and applicable retention requirements to decide what can be archived.

  3. Automate the work

    Use ADLM for archiving jobs and variant creation within the agreed scope.

  4. Monitor and review

    Follow job execution and bring specialist judgment to operational review.

Data volume helps identify where to investigate. Archiving eligibility still depends on business status, retention requirements and the applicable SAP object rules.

Connected to the SAP experience

ADLM integrates
with SAP Joule.

For SAP S/4HANA Cloud Private Edition, ADLM brings its data lifecycle experience together with SAP Joule integration.

Explore the supported ADLM interactions and the integration requirements for your environment in a focused demonstration.

Explore ADLM and Joule
ArchiveHub ADLMData insight & archiving automation
SAP JouleSAP S/4HANA Cloud Private Edition
Built around your team

More visibility for leaders.
More focus for specialists.

SAP platform owners & IT directors

See the bigger picture.

Understand growth contributors and the operational effort involved in your archiving program.

Archiving, ILM & Basis specialists

Make expertise count.

Spend less time preparing variants and checking jobs, and more time on scope, decisions and oversight.

S/4HANA transformation teams

Plan with data context.

Understand the data footprint as you plan transformation, and establish recurring archiving operations for the active system.

The ArchiveHub portfolio

Manage today's growth.
Keep history useful.

Choose the capabilities that match the system and information you need to manage.

Questions, answered

Get to know ADLM.

What is ArchiveHub ADLM?

ArchiveHub ADLM stands for Autonomous Data Lifecycle Management. It combines SAP data-growth analysis with automation of archiving jobs, including variant creation and job monitoring, with human oversight.

What does the data-growth analysis cover?

ADLM analyzes data-volume contributors across business objects, archiving objects, tables and attachments to help teams understand their SAP data footprint and investigate archiving scope.

What does autonomous mean for an archiving team?

ADLM automates recurring preparation and operational activities. Archiving, ILM and Basis specialists remain involved in scope, decisions and oversight, including reviewing the business and retention requirements relevant to archiving.

Does ADLM integrate with SAP Joule?

ADLM integrates with SAP Joule in SAP S/4HANA Cloud Private Edition. A demonstration can cover the supported ADLM interactions and the prerequisites for your specific environment.

How does ADLM relate to application retirement?

ADLM addresses data growth and archiving operations in running SAP systems. Application retirement is a separate workstream: preserving required history and removing dependency on the original application. ArchiveHub's Historical ERP Data Platform supports independent historical access.

See the workflow for yourself

Turn data-growth insight
into archiving action.

Explore the analysis, variant creation and job-monitoring experience with your SAP priorities in mind.

See ADLM in action