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Specialization

Enterprise Data Platform Support & Maintenance

Independent support across legacy and modern data environments — aligned to your systems, priorities, and roadmap.

Enterprise data and analytics environments often include a mix of stable legacy platforms, modern cloud services, integration pipelines, and reporting tools that continue to support essential operations.

Lyanix helps organizations assess support needs across these environments and establish practical support models that fit current operations, internal capability, and long-term platform plans.

Support challenges organizations are managing

Support planning today is shaped by rising support and renewal costs, changing vendor support models, and pressure to modernize platforms before there is a clear operational reason to do so.

Organizations also need to avoid disrupting stable systems, preserve continuity in production environments, and address the gradual loss of internal knowledge that often builds up around long-running data and analytics platforms.

Cost Pressure

Rising support and renewal costs can create pressure to reassess support models and operating priorities.

Support Model Change

Changing vendor support structures can affect planning, escalation paths, and long-term operating decisions.

Operational Risk

Stable systems may still be business-critical, and unnecessary disruption can introduce avoidable production risk.

What we support

Lyanix supports enterprise data and analytics environments across legacy, hybrid, and modern platform landscapes. Support can be aligned to one platform area or a broader operational environment.

Data Platforms & Databases

DB2, SQL Server, enterprise data warehouses, and long-running operational data environments.

BI & Analytics

WebFOCUS, Qlik, Power BI, reporting platforms, and established analytics environments.

Integration & ETL

Talend, data pipelines, integration jobs, orchestration flows, and platform connectivity layers.

Modern Data & AI

Microsoft Fabric, modern platform services, AI solutions, and emerging agentic workflows.

Lyanix approach

Support engagements begin with structured discovery so organizations can understand the environment, operating pressures, and decision points before making changes to support models.

Our approach emphasizes informed decision-making, practical onboarding, and clear assessment of risks before any support transition or operating change is put in place.

Discovery and risk assessment

The assessment phase typically includes system and version review, support history and incident analysis, documentation and knowledge evaluation, and identification of dependencies that could affect continuity or recovery.

Risk evaluation looks at incident frequency and severity, dependency on updates and patches, internal capability, platform stability, and production risk exposure so support decisions are grounded in the realities of the environment.

System Review

Platform inventory, current versions, dependency mapping, and environmental context.

Support History

Incident patterns, recurring issues, escalation paths, and operational pain points.

Knowledge Evaluation

Documentation quality, internal knowledge depth, and areas of concentrated platform dependency.

Risk Evaluation

Production exposure, platform stability, update dependency, and internal capability considerations.

Support services

Support can be structured around operational continuity, platform administration, knowledge transfer, and advisory needs, depending on the systems involved and the level of internal capability available.

Production Support

Incident triage, troubleshooting, break/fix response, and production issue support across supported environments.

Platform Administration

Configuration support, monitoring, tuning, and platform optimization aligned to operational needs.

Knowledge & Documentation

Knowledge base creation, operational documentation, enablement, and continuity support.

Strategic Advisory

Upgrade planning, migration guidance, architecture advisory, and roadmap-aligned support planning.

Structured support assessment

Step 1

Discovery Process

Understand the supported platforms, business criticality, and current operating model.

Step 2

System & Version Review

Review platform versions, dependencies, support history, and known technical constraints.

Step 3

Risk Assessment

Evaluate incident patterns, production exposure, update dependency, and internal capability.

Step 4

Support Roadmap

Define a practical support model aligned to current priorities and future platform plans.

Why organizations work with Lyanix

Optimize support spend

Support decisions are approached with attention to real operational need, risk, and cost discipline.

Cross-platform expertise

Lyanix supports both long-running legacy environments and newer data, analytics, and AI platforms.

Operational continuity

Support planning emphasizes stability, controlled onboarding, and reduced disruption to critical systems.

Flexible support alignment

Support can be structured around one platform area or a broader environment, depending on organizational needs.

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