Microsoft stack integrator specializing in public-sector modernization
Krasan is a 23-year-old Chicago-based consulting and systems integration firm focused on public-sector clients. The tech stack is heavily Microsoft-centric (Dynamics 365, Power Platform, Azure ecosystem), with recent hiring concentrated in senior engineering and data roles — a mix that reflects their pivot toward data pipelines, Power BI modeling, and cloud migration work. Active projects show a shift from legacy system replacement toward compliance, automation, and analytics: GIS data modeling, regulatory system modernization, and enterprise data warehouses signal clients moving from manual operations into governed, performant infrastructure.
Notable leadership hires: Director Consulting Delivery
Krasan Consulting Services provides management consulting, technology integration, and staffing services to mid-market and large public-sector organizations, particularly in state and local government and higher education. The firm specializes in application modernization, ERP implementation, business process optimization, and IT systems transformation. Core service lines include enterprise architecture, program management, application integration, robotic process automation, and business intelligence. They operate from offices in Chicago and Lisle, Illinois, and maintain a 51–200 person team. Current project work spans Power Platform development, Azure data infrastructure, compliance documentation, and legacy system migration — typical of organizations modernizing decade-old on-premise environments.
Krasan's primary stack is Microsoft: Dynamics 365, Power Platform (Power Apps, Power Automate, Power Pages, Power BI), Azure (DevOps, Functions, Data Factory, SQL), .NET, and Angular. They also use Jira, SharePoint, and SQL Server for legacy integrations.
Current initiatives include Power Platform modernization (tax systems, portal development), document digitization and redaction, GIS data modeling, regulatory system modernization, enterprise data pipelines, Azure SQL data warehouses, Power BI semantic models, and legacy data migration for compliance.
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