Azure Data & Reporting Health Check
(2 Weeks)
If your Azure and Power BI reporting stack works “well enough” but feels slow, fragile, or hard to trust, this 2-week Health Check gives you a clear picture of what’s going on – and a practical 90-day plan to fix it.
I work with small and mid-size teams that already have data pipelines, a warehouse, and reports, but are starting to feel the pain of growth: more sources, more dashboards, more incidents.
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Who It's For
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You run analytics on Azure + Power BI (Azure SQL / Synapse / Databricks / ADF / Functions).
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You already have production reports used by leadership or operations.
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You suspect there are issues with speed, reliability, or trust, but don’t want a massive replatforming project.
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Your data or BI team is busy fighting fires and has limited time for architecture work.
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Common Symptoms
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Power BI reports are slow or time out, especially at month-end or on larger datasets.
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ETL pipelines in Azure Data Factory / Databricks fail at inconvenient times and require manual restarts.
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The data model has grown organically – new tables and measures are added on top of old ones without a clear structure.
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Different teams see slightly different numbers for what should be the same metric.
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There is little or no monitoring, logging, or alerting – problems are discovered by business users.
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Costs are creeping up, but nobody is quite sure where the inefficiencies are.
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What’s included
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ETL & Orchestration (Azure Data Factory / Databricks / Functions / SSIS)
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Data Warehouse & Modeling (Azure SQL / Synapse / Lakehouse)
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Power BI Datasets & Reports
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Operations & Risk
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What you get
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Executive Summary (2–3 pages) - a clear, non-technical summary for leadership
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Technical Findings (5–10 pages) - a complete, structured overview
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90-Day Action Plan - a simple, prioritized plan with impact/effort scoring, so your team knows what to do first
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Final Workshop (60–90 minutes)
Maksym Lohvinenko
Azure Data & Analytics Consultant (12+ years on Microsoft stack)
Get in Touch
If this sounds relevant, the next step is simple: book a short intro call with me to confirm fit.
