Analysis

Analysis establishes shared understanding before change. It clarifies what systems and data you have, where fragility sits, and what should be modernized first.

What Analysis Covers

System, Process, and Risk Baseline

  • Current-state system mapping
  • Business process walkthroughs
  • Dependency and operational risk review
  • Identification of reporting and workflow fragility
  • Inventory of data exports, imports, and exchange touchpoints

Legacy Data as an Input to Modernization

  • Legacy data migration: Inventory source systems, assess data quality, and define migration risk controls to reduce breakage during modernization.
  • Data exports and imports: Identify what leaves each system, what is loaded downstream, and where manual file handoffs create fragility.
  • Data wrangling and transformation: Document scripts, spreadsheet steps, scheduled transformation jobs, and business rules that alter data meaning.
  • Data exchange via APIs and batch pipelines: Capture current interfaces and failure patterns so exchange contracts can be made explicit.
  • Data analysis and modeling: Evaluate decision use cases and document current-state/target-state models for simpler handoffs and automation.

Modernization Outcomes

  • Simplify processes by removing unclear handoffs and duplicated effort.
  • Modernize technology choices based on evidence instead of assumptions.
  • Enable advanced data-driven capabilities with cleaner models and trusted inputs.

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