As the business expanded its analytics initiatives, the client faced several challenges that made it difficult to deliver timely and consistent business intelligence across the organization.
Limited Power BI Expertise:
The internal team lacked enough experienced Power BI Developers, Data Engineers, and BI Consultants to keep up with the growing demand for analytics.
Fragmented Reporting Landscape:
Business data was spread across ERP, production, inventory, and finance systems, requiring significant manual effort to consolidate and analyze.
Slow Dashboard Delivery:
With limited development capacity, new dashboard requests and report enhancements often took longer than the business expected.
Complex Data Models:
Growing datasets, increasingly complex DAX calculations, and evolving semantic models made performance optimization and maintenance more challenging.
Limited Operational Visibility:
Business leaders needed near real-time visibility into production, inventory, and financial KPIs but lacked standardized reporting across manufacturing operations.
Scaling Delivery Capacity:
Running multiple analytics initiatives simultaneously required additional expertise without the time and cost of expanding the permanent BI team.
To help the client accelerate delivery, DataToBiz provided experienced Power BI professionals on a staff augmentation basis who worked as an extension of the internal analytics team, bringing both technical expertise and delivery flexibility.
Dedicated Power BI Specialists:
Power BI Developers, Data Engineers, and BI Consultants joined the client’s analytics team to support dashboard development, data modeling, and enterprise reporting initiatives.
Embedded Agile Delivery:
The augmented team became part of the client’s delivery process, participating in sprint planning, backlog refinement, daily stand-ups, and release cycles alongside internal stakeholders.
Accelerated Dashboard Development:
The team designed interactive dashboards, KPI scorecards, semantic models, and reusable reporting assets while continuously improving report usability and performance.
Enterprise Data Integration:
Supported the integration of ERP, production, inventory, and finance data into a unified reporting environment, providing business users with more consistent and reliable insights.
Governance & Best Practices:
Introduced reporting standards, peer reviews, documentation, and governance practices to improve quality, consistency, and long-term maintainability.
Flexible Team Scaling:
Resources were ramped up or down as project priorities evolved, allowing the client to expand delivery capacity without increasing permanent headcount.
The augmented team worked within the client’s existing Microsoft Power BI ecosystem, contributing across data integration, modeling, reporting, governance, and ongoing optimization.
Enterprise Data Integration:
Connected ERP, production, inventory, and finance systems through existing ETL pipelines, creating a reliable foundation for enterprise reporting.
Data Modeling:
Designed optimized star schemas, semantic models, reusable datasets, and business relationships to support scalable analytics across departments.
Power BI Development:
Developed interactive dashboards, KPI scorecards, drill-through reports, and self-service analytics using Power BI Desktop and Power BI Service.
DAX & Performance Optimization:
Optimized DAX measures, calculated columns, and report performance to improve refresh efficiency and deliver a faster reporting experience.
Security & Governance:
Implemented Row-Level Security (RLS), workspace governance, role-based permissions, and controlled dataset sharing to maintain secure access to business information.
Deployment & Collaboration:
Managed report deployments, version control, and collaborative development using Azure DevOps, Git, and established release management practices.
Monitoring & Continuous Improvement:
Provided ongoing report optimization, issue resolution, dataset refresh monitoring, and enhancements to support evolving business requirements.
Faster Dashboard Delivery
Reduced report development timelines by more than 35%, delivering over 60 dashboards and reports across manufacturing, finance, and operations.
Improved Business Visibility
More than 200 business users gained access to interactive Power BI dashboards, enabling faster decisions through near real-time operational and financial insights.
Better Report Performance
Optimized data models and DAX calculations reduced report load times by over 40%, creating a faster and more responsive reporting experience.
Expanded Analytics Capacity
Scaled the client’s BI delivery team with eight experienced Power BI and Data Engineering specialists, supporting more than 10 analytics initiatives simultaneously.
Standardized Enterprise Reporting
Consolidated data from multiple enterprise systems while establishing over 25 reusable datasets, bringing greater consistency and governance to business reporting.
Stronger Internal BI Capability
Knowledge transfer sessions, technical documentation, and collaborative delivery helped strengthen the client’s in-house BI team for future initiatives.
Conclusion
By extending its analytics team with experienced Power BI specialists, the organization accelerated enterprise reporting without the delays of traditional hiring. The engagement improved dashboard delivery, expanded business visibility, and created a scalable analytics capability that continues to support the organization’s growing business intelligence needs.
Manufacturing & Industrial Engineering
UK
Staff/Resource Augmentation
Briefly describe the challenges you’re facing, and we’ll offer relevant insights, resources, or a quote.
Business Development Head
Discussing Tailored Business Solutions
