What would you like your AI agent to do? We will take it from there.
Talk to an Expert

NetSuite and MS Fabric Analytics for Australian Technology and Communications Provider

About Client

  • Leading Australian technology and communications solutions provider with over 40 years of industry experience.
  • They deliver mission-critical communication, networking, and technology solutions across public and private sectors.
  • With multiple business divisions and a nationwide presence, they support other companies across network infrastructure, telecommunications, industrial communications, and managed technology services.

Problem STATEMENT

When we first sat down with the client’s team, the challenge was not simply about adding another reporting layer. Their analytics environment had evolved over time, and the growing volume of enterprise data and BI requirements was exposing gaps in how data was integrated, standardized, governed, and consumed.

Disconnected Enterprise Data

Data from NetSuite ERP and other enterprise systems needed to be brought into a common analytics environment. Without a unified data layer, cross-functional reporting depended on data being integrated and prepared consistently across sources.

Inconsistent Business Metrics

Different reporting requirements made standardized KPIs, calculations, and definitions increasingly important. The client needed a consistent way to structure business metrics so teams could work from the same numbers across reports and functions.

Scaling BI Requirements

As more teams relied on analytics, the environment had to support self-service reporting and expanding BI use cases without creating separate reporting processes or increasing dependence on manual data preparation.

Limitations in the Existing Architecture

The analytics setup needed to mature into a scalable cloud-native architecture that could handle data ingestion, transformation, storage, and analytics as connected parts of the same environment.

Growing Governance Needs

A broader analytics ecosystem also meant greater attention to data access, security, governance, and performance. The client needed these controls to be built into the environment as reporting expanded across the organization.

Solution

After understanding where the existing analytics setup was falling short, our experts focused on building a stronger data foundation first, then standardizing how that data was transformed, modeled, and presented to business users.

Unified Fabric Analytics Environment

Our team brought NetSuite ERP and other enterprise data into a centralized Microsoft Fabric environment, creating a common foundation for enterprise reporting and analytics.

Structured Data Architecture

We introduced a Bronze-Silver-Gold Medallion Architecture to move data through defined stages of ingestion, transformation, and business readiness, making the data easier to manage and reporting more consistent.

Stronger Enterprise Data Foundation

Using Microsoft OneLake, Fabric Lakehouse, and Fabric Data Warehouse, our engineers created a scalable structure for storing, transforming, and serving enterprise data across reporting workloads.

Standardized Power BI Reporting

We developed 50+ Power BI dashboards and reports covering finance, sales, operations, inventory, and executive performance, giving teams a more consistent view of business data.

Governed Business Intelligence

Our team implemented Power BI semantic models, standardized KPIs, DAX measures, and Row-Level Security (RLS) to maintain consistent business definitions while controlling access to sensitive information.

Foundation for Future Analytics

We also worked toward governance, security, monitoring, and deployment practices, preparing the analytics environment to support growing self-service requirements and future data initiatives.

Technical Implementation

The solution combined NetSuite, Microsoft Fabric, and Power BI into a connected technology stack, with each component handling a specific stage of the reporting process.

Data Sources

NetSuite ERP supplied core finance, sales, CRM, inventory, and procurement information, alongside other enterprise sources where required.

Data Ingestion

Microsoft Fabric Data Pipelines automated scheduled data transfers from NetSuite and other connected systems.

Data Lake

Microsoft OneLake and Fabric Lakehouse stored and organized information using a Bronze-Silver-Gold structure, separating raw, refined, and curated datasets.

Data Processing

Fabric Notebooks and Apache Spark handled cleansing, transformations, business rules, and KPI calculations before the data reached reporting layers.

Data Warehouse

Microsoft Fabric Data Warehouse provided structured datasets for enterprise and cross-functional reporting.

BI Modeling

Power BI Semantic Models and DAX defined shared metrics and calculations, while Row-Level Security (RLS) restricted data based on user access.

Reporting & Visualization

Added 50+ interactive dashboards to the system spanning finance, sales, operations, inventory, and executive performance.

Security & Governance

Microsoft Entra ID, access controls, data lineage, and encryption provided identity management, traceability, and protection across the platform.

Technical Architecture

NetSuite and Microsoft Fabric Analytics

Business Impact

Consistent Business Reporting

The implemented 50 visualization dashboards helped align finance, sales, operations, inventory, and leadership reporting patterns, making it easier for teams to work from a common business view.

One View of Business Performance

Streamlining enterprise data pipelines gave teams a more connected view of business performance instead of relying on information spread across different reporting sources.

Aligned KPIs and Metrics

Standardized definitions and calculations reduced differences between reports, helping teams interpret KPIs consistently across business functions.

Better Control Over Business Data

Stronger access and governance practices gave the organization greater control over who could view and use business information as analytics usage expanded.

Ready for Growing BI Needs

The client now has a stronger base for expanding self-service analytics, reporting requirements, and advanced data initiatives without having to rebuild the reporting foundation each time.

For the Australian technology and communications provider, DataToBiz set up a clearer path from enterprise data to business reporting with NetSuite, Microsoft Fabric, OneLake, and Power BI. The result was half a century plus of standardized dashboards, shared KPI definitions, tighter data controls, and an analytics setup that can keep pace with new reporting needs.

Related Case Studies

Drop Your Business Concern

Briefly describe the challenges you’re facing, and we’ll offer relevant insights, resources, or a quote.

Ankush

Business Development Head
Discussing Tailored Business Solutions

DMCA.com Protection Status