Where should we start if we are not sure which service fits?

Start with an assessment. We can review reporting, data, workflow or AI readiness questions and recommend a focused next step.

Can rockaBI combine BI, data platform and workflow work?

Yes. Many engagements combine source integration, data modelling, Power BI reporting, workflow automation, support and training where the business case requires it.

Do you work only with Microsoft technologies?

Microsoft Azure, SQL Server, Azure SQL, Power BI and Power Platform are our core stack, with Databricks, Microsoft Fabric and AI components used where they fit the architecture.

Services

Choose the right starting point for trusted data.

rockaBI helps teams improve reporting, data platforms, workflow automation, AI readiness, training and ongoing BI operations without turning the work into consulting theatre.

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Enterprise data and BI Architecture, modelling, reporting and governance.

Automation and AI readiness Workflow, writeback and reliable foundations for AI.

Enablement and support Training, managed BI services and practical next steps.

Enterprise solutions

Where data, reporting and decisions need to hold up.

Use this page as a clear route into the service area that best matches the current business problem.

Business Intelligence

BI people can explain and trust.

Power BI reporting, KPI governance, semantic layers and decision-ready analytics.

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Data Platform

Reliable foundations for analytics.

Source integration, Azure SQL, SQL Server, lakehouse, Databricks and operating models.

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Migration

Modernization without losing business logic.

Scenario-led migration planning for reporting, SQL and BI estates that need a safer path forward.

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Workflow automation

Decisions that flow back into operations.

Power Apps, Power Automate and governed writeback for planning, approvals and data maintenance.

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Managed BI

Keep critical BI systems reliable.

Structured support, governance, continuous improvement and operational ownership for BI estates.

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AI readiness

AI starts with trusted data.

Prepare semantic layers, permissions, data quality and workflows before adding AI to business decisions.

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Enablement and proof

Training, practical systems and evidence.

Some conversations start with a training programme, a finance workflow or a concrete client story.

Training

Build team capability around real tools.

Corporate Power BI, Fabric, Azure, SQL and Power Platform training designed around practical usage.

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Finance workflows

billinfo for clearer business operations.

Invoice, timesheet, cash-flow and operational visibility for teams that need practical control.

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Client stories

See how similar problems were solved.

Selected examples across enterprise reporting, cloud migration, retail analytics and project intelligence.

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Resources

Read before you scope the next step.

Practical articles on governance, semantic layers, assessments, AI readiness and data platforms.

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Assessment

Not sure where to start?

Start with a focused assessment. We will look at the current situation and suggest the most sensible next step.

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