Industries

Technology Transformation Across Industries

The fundamentals of good architecture and trusted data apply everywhere — but each industry has its own pressures, regulations and decision cycles. Here is how our capabilities map to them.

Professional Services

Industry challenge

Firms need real-time visibility into utilization, engagement profitability and working capital, yet data is often split across ERP, practice management, CRM and time-and-billing systems.

Relevant capabilities

Enterprise data architecture that unifies finance and operational data
Microsoft Fabric and Power BI for engagement and practice analytics
Planning and forecasting for revenue, capacity and margin
AI-ready foundations for knowledge and document-heavy workflows

Potential transformation areas

Engagement profitability and utilization analytics
Finance and ERP modernization
Knowledge retrieval with governed RAG

Financial Services

Industry challenge

Financial organizations balance modernization with regulatory scrutiny. Data lineage, control and auditability matter as much as speed of insight.

Relevant capabilities

Governed data platforms with lineage, quality rules and access controls
Finance data models and reconciliation frameworks
Data migration with auditable reconciliation
AI governance and human-in-the-loop design

Potential transformation areas

Finance and regulatory reporting modernization
Data quality and governance programs
Controlled adoption of AI for internal analysis

Publishing & Education

Industry challenge

As content and learning move to digital and subscription models, organizations must connect product, customer, royalty and financial data that often sits in separate systems.

Relevant capabilities

SAP and ERP data integration with digital platforms
Analytics for subscription, product and customer performance
Knowledge graphs and RAG over large content catalogs
Data migration during platform consolidation

Potential transformation areas

Digital product and subscription analytics
ERP and finance modernization
AI-assisted content discovery and metadata

Manufacturing

Industry challenge

Manufacturers need connected views of supply chain, production, cost and demand, with ERP data at the core and operational data flowing in from many sources.

Relevant capabilities

S/4HANA data and integration architecture
Supply chain and cost analytics on a modern data platform
Planning and forecasting linked to operational drivers
Master data cleansing and migration

Potential transformation areas

ERP modernization with data continuity
Integrated planning and cost visibility
Data foundations for predictive and AI use cases

Technology

Industry challenge

Fast-growing technology companies often outgrow early systems. Scaling requires reliable finance data, consistent metrics and architecture that keeps pace with growth.

Relevant capabilities

Enterprise architecture and technology roadmaps
Metric definitions and semantic models for SaaS and recurring revenue
Cloud data platforms and ELT pipelines
AI and data agent architecture

Potential transformation areas

Scalable finance and revenue analytics
Data platform consolidation
Operational AI and data agents

Other Enterprises

Industry challenge

Mid-market and enterprise organizations in many sectors face the same core question: how to modernize ERP, data and analytics without disrupting the business.

Relevant capabilities

Transformation strategy and program leadership
SAP, data platform and analytics modernization
Data migration and reconciliation
AI-readiness assessment

Potential transformation areas

Technology and data strategy
Legacy modernization
Executive reporting and planning

Capabilities that can support organizations in these industries are described above. Specific engagement experience is discussed directly with prospective clients.

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