Quanta Meridian analytics studio
Quanta Meridian builds Power BI dashboards, reporting systems, and data-quality-aware handover packs for operations, compliance, finance, HR, and performance teams.
Reporting flow
Source inputs
Excel, CSV, SharePoint, SQL, business exports
Reporting model
Relationships, measures, quality checks, refresh logic
Dashboard surface
KPIs, slicers, trends, exceptions, executive summary
Focus
Power BI and reporting
Standard
Honest asset readiness
The reporting problem
KPI definitions change between spreadsheets, meetings, and reporting packs.
Teams spend too much time cleaning exports before they can explain performance.
Dashboards can look polished while still being difficult to trust, reproduce, or hand over.
What Quanta Meridian builds
The work is designed for practical business reporting: clear layouts, defined measures, source-aware modelling, and documentation that makes the dashboard easier to maintain or rebuild.
Dashboards with clear KPI logic, practical slicers, readable page hierarchy, and maintainable reporting models.
Repeatable reporting workflows that replace scattered spreadsheet packs with controlled refresh patterns.
Operations, compliance, finance, HR, and performance views designed around real management questions.
Source checks, data dictionaries, build notes, and handover guidance so dashboards remain understandable.
Dashboard portfolio
Portfolio examples show the kind of reporting structures Quanta Meridian can build. Each example is labelled as synthetic, with asset readiness separated from planned PBIX or screenshot work.
Compliance & Assurance
Synthetic dashboard example with sample data, DAX measures, visual mapping, and Power BI rebuild guidance.
This example uses synthetic demonstration data only. It is not client work and does not contain real audit, compliance, or protected data.
Operations Performance
A Power BI-buildable operations dashboard for workload, SLA compliance, backlog, cycle time, process stage distribution, and escalations.
This example uses synthetic operational data only. It is not client work and does not include real service, staff, or customer data.
Finance & KPI Reporting
A finance and management KPI dashboard concept for budget variance, allocation, cash position, performance movement, and reporting commentary.
This example uses synthetic finance and portfolio-style demonstration data only. It is not investment advice and is not based on client data.
HR & Workforce Analytics
A planned workforce dashboard concept for headcount, recruitment, attrition, skills, absence, and people operations reporting.
This is a planned synthetic example. No real employee, HR, recruitment, or client data is included.
Data-quality-aware analytics
Quanta Meridian treats data quality, modelling, and documentation as part of the delivery, not an afterthought hidden behind the visuals.
Review the source data and reporting objective before designing visuals.
Separate metric definitions, model relationships, and visual design decisions.
Label synthetic examples, readiness status, limitations, and missing assets clearly.
Build dashboards with enough documentation for future maintenance and Power BI rebuilds.
Services and packages
Scoped review
A focused review for teams with an existing dashboard, report, spreadsheet pack, or PBIX that needs clearer measures, cleaner layout, stronger trust, or better handover notes.
Starter build
A compact build for one priority reporting need, usually based on a small number of Excel, CSV, SharePoint, or SQL-backed inputs.
Professional build
A fuller dashboard build for operations, compliance, finance, workforce, or executive reporting where users need multiple pages, defined measures, and clearer governance.
Custom scoped build
A larger reporting build for teams that need connected dashboard pages, repeatable refresh logic, documentation, and a clearer analytics operating structure.
Process
01
Clarify the audience, reporting questions, current pain points, and must-have measures.
02
Inspect available exports, source fields, refresh patterns, quality issues, and access constraints.
03
Define relationships, metric rules, DAX measures, slicers, and governance notes before polish.
04
Create a clean Power BI-ready dashboard surface with strong hierarchy and practical interactions.
05
Provide build notes, limitations, asset status, and next-step guidance so the work can be maintained.
Start the conversation
Bring the reporting problem, the current spreadsheet pack, or the export that keeps causing friction. Quanta Meridian can help shape it into a clear, scoped dashboard build plan.