Modernize Your IBM & Red Hat Estate Without Operational Disruption
Preserve the core systems your business depends on while modernizing the interfaces around them. We resolve End-of-Support exposure across IBM Planning Analytics (TM1) and Cognos, extract real-time transaction events via Kafka, and bridge financial data into Microsoft Power BI — delivered through structured 2-week sprints.
Your Core Powers the Business. The Ecosystem Around It Needs Agility.
Complete platform replacements are slow, costly, and carry significant operational risk. At the same time, maintaining legacy platforms without a clear roadmap leads to rising support costs, talent shortages, and integration bottlenecks.
1. Point-to-Point Coupling
Decades of custom batch scripts, RPG routines, and nested cubes make changes difficult to test and slow to deploy across downstream applications.
2. Specialist Talent Scarcity
As senior TM1, AS/400, and mainframe specialists retire, undocumented configurations and legacy scripts create continuity risk for IT leadership.
3. Heavy Consulting Overhead
Traditional consulting engagements often demand extensive multi-year commitments. Mid-market enterprises need direct access to senior practitioners focused on high-priority workloads.
Four Pillars of Pragmatic Core Modernization
Select a solution domain to explore our architectural patterns and dedicated practices:
IBM Planning Analytics (TM1) & Cognos to Power BI
Protect complex financial calculation logic while transitioning off unsupported on-premises versions (TM1 2.0.9.x End-of-Support). We optimize calculation rules, connect data models directly into Microsoft Power BI, and incorporate watsonx forecasting capabilities.
- End-of-Support migration to Planning Analytics Cloud / PaaS with validated business rules.
- Governed semantic modeling in Microsoft Power BI & Fabric over existing TM1 cubes.
- Cell-level regression testing to verify calculation parity prior to deployment.
Explore Sub-Service Solutions
Access dedicated practice documentation and migration frameworks for financial planning and reporting:
Mainframe & AS/400 Event Extraction via Kafka
Unlock transactional data residing in DB2, IBM iSeries, or z/OS without introducing query load or polling overhead to production transactional systems.
- Log-based Change Data Capture (CDC) streaming into Apache Kafka and Confluent.
- Sub-second event delivery to Snowflake, Databricks, and cloud data platforms.
- Governed Schema Registry to maintain data contracts across system boundaries.
Mainframe Integration Blueprint
Review our architecture patterns for sub-second event replication off legacy core databases:
Red Hat OpenShift & Pragmatic Platform Migration
Standardize container orchestration across on-premises hardware and hyperscalers (AWS, Azure) while evaluating alternatives to legacy hypervisors.
- OpenShift Virtualization as a direct deployment option for virtual machine workloads.
- Consistent hybrid cloud governance across bare-metal IBM Power, x86, and cloud instances.
- Ansible Automation Platform playbooks for repeatable, automated infrastructure delivery.
OpenShift & Cloud Strategy
Explore workload virtualization, containerization blueprints, and VMware exit paths:
Intelligent Exception Handling (P&C Insurance & Claims)
Automate complex decision routing and exception processing across legacy transactional systems using IBM Business Automation and watsonx Orchestrate.
- Structured triage for claims exceptions, reducing manual processing cycles.
- Auditable, version-controlled decision tables aligned with regulatory standards.
- Standardized escalation interfaces for complex exception handling.
Domain-Specific Orchestration
Pre-built exception handling patterns for insurance claims and life sciences planning:
The 6R Modernization Decision Matrix
Workloads should be evaluated individually based on business criticality, rule complexity, and operational risk:
Core Ledger & Transaction Logic
Stable, high-throughput engines remain in place. We establish secure REST/gRPC APIs and Kafka CDC event pipelines around them.
IBM Planning Analytics (TM1)
Transition legacy on-prem instances (2.0.9.x EoS) to Cloud PaaS without rewriting business logic, restoring standard vendor support.
VMware to OpenShift Virt
Migrate virtual machines to OpenShift Virtualization, optimizing licensing structures while preparing for containerized workloads.
Batch ETL to Real-Time Streaming
Replace rigid overnight batch pipelines with real-time Kafka event streams feeding cloud analytics platforms (Fabric, Snowflake).
Cognos Reports to Power BI
Modernize executive dashboards in Power BI while maintaining verified TM1 cubes as the underlying multi-dimensional source of truth.
Redundant Data Marts
Decommission unused legacy cubes, duplicate ETL feeds, and unmaintained staging databases to lower maintenance and hosting costs.
Dedicated Modernization & Migration Services
Deep-dive into specific solution architectures, case studies, and migration playbooks:
IBM Planning Analytics & TM1
End-of-Support upgrades, financial model parity, and Power BI integration.
Cognos to Power BI Migration
Report portfolio rationalization, DAX parity, and semantic model build.
Mainframe & AS/400 Streaming
Log-based CDC, Apache Kafka pipelines, and cloud lakehouse extraction.
OpenShift & VMware Exit
Workload virtualization, hybrid orchestration, and licensing control.
Start with Clarity: The 2-Week Architecture Assessment
A structured 10-day evaluation by our senior modernization architects to inspect your environment, identify critical dependencies, and define an actionable, evidence-based roadmap.
Estate Discovery
Catalog integration points, data pipelines, support status, and performance bottlenecks.
6R Portfolio Mapping
Classify workloads by business value, rule complexity, and target modernization approach.
Target Architecture
Design reference blueprints covering event streaming, semantic layers, and container strategy.
Executive Roadmap
Deliver fixed-scope implementation proposals, acceptance criteria, and ROI projections.
“In enterprise modernization, success comes from balancing stability with agility. The organizations that succeed retain what works, isolate fragile legacy components, and modernize in structured, verifiable sprints.”
Justyna
PMO Manager, Multishoring
Frequently Asked Questions on Enterprise Modernization
How does Multishoring’s delivery model work for enterprise modernization?
We deploy dedicated senior engineering pods with extensive experience across the IBM and Red Hat ecosystems. Projects are delivered in focused 2-week sprints with transparent milestones, direct PMO coordination, and clear knowledge transfer.
Can we keep existing IBM TM1 calculation rules while migrating to Power BI?
Yes. In hybrid scenarios, TM1/Planning Analytics continues to run complex multidimensional financial rules, while Microsoft Power BI connects directly as the unified reporting and dashboard layer for end users.
How do you extract data from Mainframe or AS/400 systems without impacting production?
We implement log-based Change Data Capture (CDC) with Apache Kafka and Confluent. This extracts data directly from database transaction logs with sub-second latency and minimal CPU overhead on production core engines.
What are the primary deliverables of the 2-Week Architecture Assessment?
Over 10 business days, our senior architects deliver an estate dependency inventory, a 6R classification matrix, target reference architectures, and a scoped implementation plan with defined acceptance criteria.
How does your team collaborate with our internal IT and architecture groups?
We operate in a co-delivery model. Our senior architects work directly with your internal teams, running joint sprint planning, automated testing, and comprehensive documentation to ensure complete internal ownership after go-live.
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