Operational Intelligence & DevOps Ecosystem

Case Study | Luxma

The Luxma data analytics project focused on building structured systems to improve operational visibility and decision-making across multiple business areas. By integrating data workflows, KPI frameworks and performance dashboards, the project transformed fragmented information into clear and measurable insights.

Using tools such as Azure DevOps and Power BI, the project established a centralized analytics environment that allowed teams to track requests, measure performance and monitor operational efficiency in real time.

Context

The Luxma data analytics project began with the design of a structured data architecture capable of capturing operational activity across teams. Azure DevOps was configured to track requests, categorize work items and monitor operational workflows.

This structure ensured that the Luxma data analytics project could transform operational data into measurable performance indicators.

Challenge

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No unified operational tracking system

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Limited accountability across areas

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Manual reporting with inconsistent KPI definitions

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No structured visibility into backlog health or aging

Approach

The solution focused on building a structured operational ecosystem, not just a dashboard.

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Designed standardized Azure DevOps work item templates

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Defined required fields to ensure data quality

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Built a semantic Power BI model with DAX measures

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Developed executive-level dashboard views for weekly and monthly monitoring

Execution

Implementation focused on turning structure into adoption.

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Implemented governance for work item creation

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Structured DimDate relationships for time intelligence

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Designed visual layers: global SLA view, area-level performance, aging heatmaps

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Conducted onboarding and cross-area training sessions

Results

Operational conversations shifted from “What’s happening?” to “What are we improving next?” Leadership gained measurable visibility into performance and accountability.