Client success stories

A leading global resources and manufacturing company engaged AGER BI to develop and modernise its enterprise analytics capability across operational, financial, project and executive reporting.

Over a multi-year engagement, AGER BI worked closely with the organisation to develop Power BI dashboards and reporting frameworks, implement Microsoft Fabric cloud architecture, integrate enterprise data sources and establish scalable analytics capabilities supporting operations across multiple locations.

The engagement evolved from operational performance reporting into a broader data platform modernisation programme, providing the organisation with a more integrated foundation for data engineering, analytics and enterprise reporting.

The organisation operates within the global resources and manufacturing sector, managing complex mining, processing and manufacturing activities across multiple locations.

These operations generate significant volumes of operational, financial, project and corporate information across a range of enterprise systems.

As reporting requirements expanded, the organisation required an analytics environment capable of providing consistent visibility of operational performance while supporting finance, project portfolio and executive reporting requirements.

AGER BI was engaged to progressively develop this capability using Microsoft Power BI, Azure data services and Microsoft Fabric.

The organisation needed reliable access to performance information across a geographically distributed and operationally complex business. Critical information relating to operational performance, financial results, project portfolios and corporate reporting existed across multiple systems and technologies, creating challenges in consolidating information and maintaining consistent reporting.

Existing Power BI solutions also experienced performance and latency challenges, while maintaining data integration processes across the Azure environment required ongoing technical effort. At the same time, the organisation needed to support consistent monitoring of operational KPIs and system health indicators across multiple sites while establishing common business rules and reporting definitions.

The broader challenge was therefore not simply to develop individual dashboards, but to progressively establish a scalable analytics environment capable of supporting operational, financial, project and executive reporting while providing a foundation for future data requirements.

AGER BI worked with the organisation over a multi-year engagement to progressively develop and modernise its enterprise analytics capability.

The engagement combined Microsoft Fabric architecture, data engineering, Power BI development, operational performance analytics, semantic modelling and enterprise reporting.

Key deliverables included:

AGER BI designed and implemented Microsoft Fabric architecture to provide a more integrated foundation for the organisation’s enterprise analytics environment.

Existing Azure data workloads were assessed and appropriate analytics processes progressively modernised using Microsoft Fabric.

The architecture brought data engineering, storage, transformation, modelling and Power BI analytics into a more integrated environment while retaining appropriate existing Microsoft Azure capabilities.

AGER BI developed reusable patterns for data ingestion and transformation, structured Fabric workspaces and implemented scalable approaches for supporting additional data sources and reporting requirements.

The resulting architecture provides a foundation that can continue to evolve as the organisation expands its use of Microsoft Fabric and introduces additional analytics capabilities.

Operational analytics represented a significant component of the engagement.

AGER BI developed Power BI dashboards and reporting frameworks covering operational KPIs, system health indicators and a broad range of performance measures.

These solutions provided operational teams and leadership with consistent visibility of performance across multiple locations and supported a more structured, data-driven approach to monitoring operational health.

The reporting environment supported the organisation in maintaining consistently high levels of compliance against key operational performance measures.

Rather than developing isolated dashboards, AGER BI established reusable reporting and modelling approaches that could support multiple operational areas while maintaining consistent business definitions.

AGER BI integrated information from operational systems, financial platforms and enterprise project portfolio management systems into the analytics environment.

Detailed data mapping and SQL development were undertaken to align source-system structures with analytical requirements and support reliable transformation of business information.

Common business rules were incorporated into the data and semantic modelling layers, reducing the need for individual reports to independently recreate calculations.

This provided a more consistent foundation for operational, financial, project and executive reporting.

Enterprise project and portfolio information represented another important reporting domain.

AGER BI integrated project portfolio management data into the organisation’s analytics environment and developed tailored semantic modelling and transformation processes to support portfolio-level reporting.

This provided improved visibility across areas such as project performance, cost, schedule, risk, resource utilisation and portfolio trends.

The resulting reporting capability enabled project information to be analysed alongside broader operational and financial information within the enterprise analytics environment.

AGER BI developed and enhanced reporting supporting financial and executive decision-making.

Reporting capabilities included CAPEX and OPEX analysis, forecasting, benefits tracking, variance analysis and portfolio-level executive reporting.

By integrating these reporting requirements with the broader analytics platform, the organisation could apply more consistent business rules and analytical structures across multiple reporting domains.

This helped reduce fragmentation between operational, project and financial reporting while providing leadership with clearer visibility of enterprise performance.

AGER BI developed centralised semantic and analytical models designed to provide consistent information across multiple reporting domains.

Power BI solutions consumed governed and reusable datasets rather than independently recreating transformation and calculation logic within individual reports.

This approach improved maintainability while helping establish consistent KPI definitions and business rules across the organisation.

The reporting environment was progressively optimised to improve performance, scalability and usability as reporting requirements expanded.

The multi-year engagement helped establish a significantly more mature analytics capability across the organisation.

Key outcomes and benefits included:

The organisation now has a more integrated analytics environment capable of supporting reporting across operational, financial, project and executive domains.

The platform provides a foundation for continued analytics modernisation while allowing additional business requirements to be incorporated without creating isolated reporting architectures for each new use case.

The organisation required more than individual Power BI dashboards. It needed a partner capable of understanding complex operational reporting requirements while progressively modernising the data architecture supporting those reports.

AGER BI combined Microsoft Fabric architecture, data engineering, Power BI, semantic modelling and enterprise reporting expertise to support the organisation across a multi-year engagement.

The work extended from operational KPI and system health reporting through to project portfolio analytics, financial reporting, data integration and Microsoft Fabric architecture.

AGER BI’s architecture-led approach helped ensure that new reporting requirements could build upon reusable data, modelling and integration patterns rather than creating independent solutions for each business requirement.

The resulting environment demonstrates how Microsoft Fabric and Power BI can support enterprise analytics across complex resources and manufacturing operations while providing a scalable foundation for continued data and analytics modernisation.