Driving Business Performance with Power BI
Data has value only when it is trusted, understood, and acted upon. Our Power BI services help organisations turn raw data into clear, reliable insights that support confident decision making across teams.
We believe analytics success is not about building dashboards quickly. It is about defining the right questions, establishing strong data foundations, and delivering insights that align with business objectives.
Our consulting led approach ensures Power BI is implemented as a decision support platform, not just a reporting tool.
- Business questions before dashboards
- Data quality before visualisation
- Single source of truth before reporting layers
- Simplicity before complexity
- Performance before aesthetics
- Governance before scale
- Enablement before dependency
- Measurement before optimisation
See What Your Data Is Telling You
Why Power BI Implementations Often Fall Short
Power BI is powerful, but many implementations fail to deliver real business value due to non-technical reasons.
Unclear Reporting Objectives
Dashboards are built without a clear understanding of what decisions they are meant to support.
Poor Data Modelling
Inconsistent relationships and calculations lead to unreliable metrics and confusion.
Disconnected Data Sources
Multiple versions of the same numbers reduce trust in reports.
Overloaded Dashboards
Too many visuals without context make insights hard to interpret.
Performance Issues
Inefficient models and queries result in slow reports and poor user experience.
Low Business Adoption
Reports are technically correct but not aligned to how users think or work.
Analytics Strategy & Use Case Definition
We define key metrics, KPIs, and decision frameworks before designing reports.
Data Modelling &
Architecture
We build clean, scalable data models that ensure accuracy and performance.
Dashboard &
Report Design
We optimise data models, measures, and refresh strategies for speed and reliability.
Frequently asked questions
Frontial Technologies is a consulting led technology partner offering Power BI analytics, data modelling, reporting, and optimisation services to help organisations make better data driven decisions.
Yes. We provide end to end Power BI consulting services, including strategy, data modelling, dashboard design, performance optimisation, and ongoing analytics support.
A consulting led approach starts with business questions, KPIs, and data foundations before building dashboards. This ensures reports drive decisions, not just display numbers.
Yes. We frequently optimise existing Power BI implementations to improve data accuracy, performance, usability, and business adoption.
Yes. When designed correctly, Power BI can scale to support large datasets, multiple data sources, and enterprise reporting needs.
We design strong data models, apply consistent calculations, validate source data, and establish a single source of truth to ensure trust in reporting.
Yes. We provide advanced data modelling, DAX measures, and optimisation to support accurate metrics and fast report performance.
Yes. Power BI can connect to databases, cloud platforms, Excel, CRM systems, and third party tools. We design secure and scalable integrations.
We optimise data models, reduce complexity, improve relationships, tune DAX, and apply best practices for refresh and performance.
Yes. We implement role based access and row level security to ensure users see only the data relevant to them.
Yes. We design executive dashboards that focus on KPIs, trends, and decision ready insights with clear and intuitive visuals.
Yes. Knowledge transfer and enablement are part of our approach so teams can confidently use and maintain Power BI reports independently.
Timelines depend on scope and data complexity. Many engagements are delivered in phases to ensure faster time to value.
Success is measured by report adoption, data trust, decision impact, reduced manual reporting effort, and alignment with business KPIs.
Frontial combines consulting discipline with hands on delivery. We focus on clarity, data trust, performance, and long term adoption rather than just building dashboards.
