IT and business consulting across strategy, digital transformation, and program delivery
Hollstadt is a mid-market consulting firm built around relationship-driven delivery across technology modernization, data platforms, and enterprise transformation. The active project list—Oracle EBS cloud migrations, governed BI solutions, EDI integrations, and manufacturing implementations—reveals a client base heavy in financial services, healthcare, and government. Senior-skewed hiring (8 of 13 roles) and concurrent investment in data engineering and security point to infrastructure-scale work, while the adopting stack (Power BI, UKG, JD Edwards EnterpriseOne) mirrors the ERP and HR modernization patterns in their pain list.
Notable leadership hires: Program Lead
Hollstadt Consulting partners with mid-market and enterprise organizations in financial services, healthcare, government, and retail to solve complex technology and business challenges. The firm operates across strategy through execution: modernizing legacy systems (particularly Oracle EBS migrations to cloud), building governed data and BI platforms, managing large operational and capital project rollouts, and staffing product and transformation teams. The consulting model combines embedded program delivery, staff augmentation, and advisory—supported by an internal tech stack spanning Azure, Snowflake, dbt, ServiceNow, and SAP. Founded in 1990 and headquartered in Minnesota, the firm employs 201–500 people and emphasizes long-term client and consultant relationships.
Primary: Power BI, Microsoft Fabric, Azure, Snowflake, dbt, Fivetran, ServiceNow, SAP, Oracle, SQL Server. Also uses Java, MuleSoft, IBM Sterling, SPS Commerce, OpenText. Currently adopting Power BI, iOS, UKG, and JD Edwards EnterpriseOne.
Financial services, healthcare, government, airline, retail, and hospitality. Projects center on legacy modernization (Oracle EBS to cloud), data platforms, BI governance, ERP implementations, and operational transformation.
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Hollstadt Consulting's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.