Gain visibility
Eikon inventories SAS programs, macros, datasets, schedules, and downstream reports so teams can see what exists, what matters, and what needs to move first.
Migrate SASwith confidence
Map legacy SAS estates, understand dependencies, and convert critical workloads to SQL, Python, Databricks, Snowflake, and dbt with expert verification built in.
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Prioritize and plan
Dependency graphs, lineage views, and complexity scoring turn legacy codebases into practical migration plans for SQL, Python, Databricks, Snowflake, and dbt.
Convert with control
Agent-assisted conversion accelerates translation while keeping engineers, analysts, and business owners in control of review, testing, and production release.
Unlock advanced analytics
Move beyond legacy SAS constraints and open critical data workflows to modern analytics, collaborative engineering, scalable compute, and governed AI readiness.
"Eikon gave us a credible path out of SAS. We could see what mattered, migrate in the right order, and prove every critical workflow before cutover."
Data Lineage
Trace tables, columns, macros, jobs, reports, and business outputs across SAS estates so every migration decision is tied to real operational impact.
Code Analysis
Classify SAS procedures, macros, formats, data steps, schedules, and embedded business rules so conversion teams know where automation fits and where expert judgment matters.
Automated Conversion, Experts in Control
Use agents to draft SQL, Python, PySpark, dbt, and orchestration changes quickly, then route exceptions, assumptions, and diffs to the people who own the logic.
Verified Results
Compare converted workloads against historical SAS outputs with reconciliation tests, lineage-aware checks, and human review loops before production cutover.
Migration experts
Work with specialists who know how to untangle legacy SAS estates, manage stakeholder alignment, and keep validated migrations moving toward cutover.
Maya leads discovery and sequencing for large SAS modernization programs, helping teams sort business-critical jobs from technical debt and turn both into an executable roadmap.
Adrian works across Snowflake, Databricks, and dbt target states, translating legacy SAS patterns into modern platform designs that are easier to operate and verify.
Sofia focuses on reconciliation strategy, output comparison, and audit-ready sign-off so converted workflows match historical behavior before any production handoff.
Tobias helps enterprise teams coordinate delivery across engineering, analytics, and business owners, keeping migration scope realistic while reducing cutover risk.
Case Studies
01
Nordic Telco Network Modernization
A Nordic telco team needed to modernize SAS programs behind network analytics and financial reporting. Eikon mapped lineage, prioritized high-value jobs, and staged migration to a cloud data stack with SQL and dbt, ending in a validated cutover.
02
Nordic Telco Operational Analytics
A Nordic telco team used Eikon to unwind SAS workflows behind customer and operational analytics. Eikon mapped dependencies, preserved governed pipeline behavior, and migrated priority workloads with zero business disruption.
03
Pension Fund Reporting Migration
A pension fund moved actuarial and regulatory reporting out of SAS by using Eikon to inventory programs, trace dependencies, and validate modern-platform outputs with a full audit trail.
04
Insurance Risk and Finance Migration
An insurance company modernized SAS workflows across risk, reserving, and finance. Eikon mapped the estate, staged migration to a cloud data stack, and kept sign-off tied to each workflow before cutover.
Book a SAS Exit scoping call
Choose a date and a 30-minute slot. We will use the call to understand your SAS estate, target platform, and the fastest path to a fixed-fee pre-analysis.
- 30 minVideo call
- No prepMigration scope
- Next stepPre-analysis plan