Manufacturing & Industrial Engineering
UK
Staff/Resource Augmentation
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.
The internal team lacked enough experienced Power BI Developers, Data Engineers, and BI Consultants to keep up with the growing demand for analytics.
Business data was spread across ERP, production, inventory, and finance systems, requiring significant manual effort to consolidate and analyze.
With limited development capacity, new dashboard requests and report enhancements often took longer than the business expected.
Growing datasets, increasingly complex DAX calculations, and evolving semantic models made performance optimization and maintenance more challenging.
Business leaders needed near real-time visibility into production, inventory, and financial KPIs but lacked standardized reporting across manufacturing operations.
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.
Power BI Developers, Data Engineers, and BI Consultants joined the client’s analytics team to support dashboard development, data modeling, and enterprise reporting initiatives.
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.
The team designed interactive dashboards, KPI scorecards, semantic models, and reusable reporting assets while continuously improving report usability and performance.
Supported the integration of ERP, production, inventory, and finance data into a unified reporting environment, providing business users with more consistent and reliable insights.
Introduced reporting standards, peer reviews, documentation, and governance practices to improve quality, consistency, and long-term maintainability.
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.
Connected ERP, production, inventory, and finance systems through existing ETL pipelines, creating a reliable foundation for enterprise reporting.
Designed optimized star schemas, semantic models, reusable datasets, and business relationships to support scalable analytics across departments.
Developed interactive dashboards, KPI scorecards, drill-through reports, and self-service analytics using Power BI Desktop and Power BI Service.
Optimized DAX measures, calculated columns, and report performance to improve refresh efficiency and deliver a faster reporting experience.
Implemented Row-Level Security (RLS), workspace governance, role-based permissions, and controlled dataset sharing to maintain secure access to business information.
Managed report deployments, version control, and collaborative development using Azure DevOps, Git, and established release management practices.
Provided ongoing report optimization, issue resolution, dataset refresh monitoring, and enhancements to support evolving business requirements.
Reduced report development timelines by more than 35%, delivering over 60 dashboards and reports across manufacturing, finance, and operations.
More than 200 business users gained access to interactive Power BI dashboards, enabling faster decisions through near real-time operational and financial insights.
Optimized data models and DAX calculations reduced report load times by over 40%, creating a faster and more responsive reporting experience.
Scaled the client’s BI delivery team with eight experienced Power BI and Data Engineering specialists, supporting more than 10 analytics initiatives simultaneously.
Consolidated data from multiple enterprise systems while establishing over 25 reusable datasets, bringing greater consistency and governance to business reporting.
Knowledge transfer sessions, technical documentation, and collaborative delivery helped strengthen the client’s in-house BI team for future initiatives.
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.
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DataToBiz is a good choice for someone who wants a partner who understands the product journey, requirements, and delivery expectations. They have the experience and agility to understand what’s possible and deliver to the client’s expectations. They‘re really passionate people, and they know what they’re doing!
We’re impressed with DataToBiz’s professionalism, dedicated support, and consistent follow-ups. Their team maintains clear communication through online meetings, ensuring a smooth and reliable collaboration.
A solution like this is a good fit if your teams spend more time collecting and reconciling data than acting on it, if reports from different departments do not match, or if decisions depend on delayed or manual reporting. It also fits when your data is growing in volume or sources, and your current setup struggles to keep up.
DataToBiz starts with a discovery call to review your goals, data sources, and reporting gaps. You get a clear view of the expected outcomes, effort, and timeline before any commitment.
Yes. Every solution DataToBiz delivers is configured around your industry, business processes, and existing data environment. The team assesses your current systems, data quality, and reporting needs first, then designs a solution that works with what you already have instead of replacing it. This applies across industries such as manufacturing, retail, healthcare, finance, and logistics, and across setups ranging from legacy databases to cloud data platforms.
DataToBiz works across the major analytics, cloud, and data engineering stacks. For BI and visualization, this includes Power BI, Tableau, and Looker. For cloud platforms, it includes Microsoft Azure, AWS, and Google Cloud. For data warehousing and processing, it includes Snowflake, Databricks, and SQL-based databases. Data sources include ERP and CRM systems, spreadsheets, APIs, IoT and sensor data, and third-party applications.
If your stack includes a tool not listed here, the team can assess compatibility during discovery.
Most projects with DataToBiz take from a few weeks to a few months. The timeline depends on how ready your data infrastructure is for the initiative and how many systems need to connect. Smaller solutions go live quickly, while larger programs roll out in phases so you see value early. After an initial discovery call, you receive a timeline with clear milestones.
Security and governance is part of the plan from the first conversation. DataToBiz works within your security policies and follows the regulations that apply to your industry. The project usually Access stays limited to the people who need it, and confidentiality terms cover the engagement from kickoff to handover.
The work does not stop at go-live. Your team gets a proper handover and guidance on using the solution, and DataToBiz stays available for questions and improvements. The business impact of the project is measured against the goals set at the start, so you can see exactly what changed for your company.
