Legacy Data Modernization
Your legacy data stack is why your AI roadmap keeps slipping. In 4 weeks, fixed fee, you get the inventory, the TCO model, and the migration plan to fix it. Powered by the Accelyst Migration Agent.
What is Legacy Modernization?
We take your ETL pipelines, BI tools, warehouses, and mainframe data and transform them into a modern, AI-ready platform. 4 weeks, fixed fee.
You get a complete inventory, a defensible TCO business case, and a sequenced migration plan. Where migration makes sense, we execute end to end: dbt, Snowflake, Databricks, BI rationalization, and mainframe offload. Powered by the Accelyst Migration Agent with 60-70% effort reduction versus hand-rewrite.
Key Features
Dependency Inventory
Every pipeline, dashboard, model, and warehouse mapped to business processes and owners at 90-95% accuracy
TCO Business Case
Current 3-year run-rate versus modernized run-rate on a target stack, ready for capital approval
Migration Roadmap
Sequenced plan showing what moves first, what gets retired, what stays, and a recommended pilot scope
Risk Register
10-15 most likely failure modes with named controls: parity validation, rollback plans, and sign-off gates
Technologies We Use
Benefits
What you gain from modernizing your data estate with Accelyst.
You own the deliverables whether or not you continue with us
60-70% faster modernization powered by the Accelyst Migration Agent
Stack-honest recommendations, including when not to migrate
Fixed fee of $50K, no expansion clauses, no hourly creep
Why It Matters
Your AI roadmap assumes clean, governed data. Legacy pipelines do not produce that.
Three forces are converging: AI projects stall because the data foundation is missing, license costs keep rising for the same insight, and the engineers who built the stack are leaving faster than you can replace them.
Most enterprise data stacks were assembled between 2010 and 2020. Alteryx for analyst pipelines, Talend or Informatica for ETL, SAS for analytics, two or three BI tools running at once. It worked then. The shape of the work has now changed, and modernizing is no longer optional. It is the foundation everything else sits on.
What You Get
How We Deliver
A structured 4-week engagement with clear weekly milestones. Week 1 covers discovery and inventory. Week 2 builds the TCO model and stack recommendation. Week 3 produces the sequenced roadmap and risk register. Week 4 validates findings and delivers the executive readout.
From our side, you get one principal architect and one senior data engineer, with our founders joining the final readout. The Accelyst Migration Agent platform runs discovery and analysis in parallel behind the scenes, accelerating inventory and TCO modeling by 60-70% versus manual approaches.
From your side, we need access to source systems and BI environments, one internal lead (typically a VP of Data or Director of Data Engineering), and 4-6 SME interviews of 45-60 minutes each. At the end of week 4, you decide whether to migrate, delay, or hold.
Our Process
Discovery & Inventory
Week 1Map every pipeline, table, dashboard, and dependency in scope. The Reverse Engineering Agent ingests legacy configuration and produces a normalized inventory in days, not weeks.
TCO Modeling & Stack Recommendation
Week 2Build the side-by-side TCO model. Recommend dbt, Snowflake, Databricks where they fit, and tell you when they do not.
Sequenced Roadmap & Risk Register
Week 3Deliver the sequenced migration roadmap and the risk register with named controls: data parity validation, rollback plans, business sign-off gates, and security checkpoints.
Validation & Executive Readout
Week 4Pressure-test the plan, finalize the four artifacts, and deliver a 60-minute executive readout. You decide whether to migrate, delay, or hold.
Modernization Paths
What moves, where it goes, and what you gain.
Pricing
Transparent, fixed-fee engagements. No expansion clauses, no hourly creep.
Paid Assessment
4 weeks, fixed scope
- Complete dependency inventory
- Side-by-side TCO model
- Sequenced migration roadmap
- Risk register with named controls
- Executive readout
Migration Project
8–16 weeks per workload group
- End-to-end migration delivery
- Agent-accelerated code generation
- Parallel run and parity validation
- No big-bang — phased cutover
- Production support handover
Embedded Pod
Monthly retainer, dedicated team
- Dedicated architect + engineers
- Multi-quarter engagement
- Stable team, no ramp-up cost
- Long migration horizons
- Quarterly health reviews
Use Cases
ETL & BI Consolidation
Consolidate Alteryx, Talend, SSIS, or Informatica workflows and multi-tool BI sprawl (Tableau, Power BI, Qlik) into a single governed modern stack.
Mainframe Data Offload
Move the data and DataStage ETL off the mainframe onto dbt and Snowflake, off MIPS-based licensing, with agent-driven parity validation. We migrate the data and its pipeline logic, not your core COBOL applications.
AI-Ready Data Foundation
Transform legacy pipelines that block AI initiatives into clean, queryable, governed data layers that agentic and AI workloads can reason over reliably.
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Learn More →Frequently Asked Questions
Common questions about Legacy Modernization.
Alteryx, Talend, SSIS, Informatica, SAS, DataStage, BigQuery, Redshift, Snowflake, on-prem warehouses, Tableau, Power BI, Qlik Sense, and QlikView. If data goes in and out, we can assess it.
We migrate the data and the data-transformation logic off mainframe and legacy systems, including DataStage ETL and batch data jobs. We do not rewrite core COBOL transaction applications. That is application modernization, a separate engagement we can scope or refer.
No. We use the strangler-fig pattern: migrate in priority order, run in parallel, validate output, then cut over. No big-bang.
Then we say so in writing. The assessment is allowed to conclude that you should delay, run a narrower pilot, or hold. You take the deliverables and owe us nothing further.
A proprietary multi-agent platform with five specialized agents working in parallel: reverse engineering, forward code generation, documentation, parity validation, and pipeline orchestration. Model-agnostic across GPT-4o, Gemini Pro, and AWS Bedrock.
$50,000 fixed fee for the 4-week assessment. No expansion clauses, no hourly creep. Migration projects start from $400,000 for a focused workload.
Book a scoping conversation
Private AI that works with your existing systems and delivers transparent, compliant automation. Tell us where you're stuck - we'll show you what's possible.