Enterprise Data Strategy — Core Focus Areas (Microsoft Stack)

🔹 1. Data Landscape Assessment & Strategic Alignment

We evaluate your current data estate — SQL Server environments, legacy warehouses, ETL pipelines, governance maturity, and reporting tools — to identify modernization opportunities and align them with business priorities. This creates a clear, actionable baseline for cloud transformation.

Includes:

    • SQL Server & DW assessment
    • Data quality & governance review
    • Platform readiness analysis
    • Business use‑case alignment
    • Microsoft Purview discovery & lineage mapping

🔹 2. Modern Data Platform Architecture & Cloud Design

We design a scalable, cloud‑optimized architecture using the Microsoft data platform. This includes defining ingestion patterns, storage layers, governance standards, and the future‑state warehouse model.

Includes:

    • Azure Synapse or Microsoft Fabric architecture
    • ADLS Gen2 data lake design
    • Batch, streaming, and CDC ingestion patterns
    • Security, compliance, and governance blueprint
    • Modern DW schema & semantic layer design

🔹 3. Data Ingestion, Migration & Warehouse Modernization

We modernize legacy ETL, migrate workloads to the cloud, and build a high‑performance data foundation. This ensures reliable, scalable, and cost‑efficient data operations.

Includes:

    • Azure Data Factory / Fabric Pipelines
    • ELT modernization & pipeline orchestration
    • SQL Server → Synapse/Fabric migration
    • Data lake zone buildout (raw, curated, semantic)
    • Data quality, validation, and reconciliation

🔹 4. Enterprise Analytics, BI Modernization & Operationalization

We enable business‑ready insights through modern BI, semantic modeling, and operational best practices. This empowers teams with trusted, governed, self‑service analytics.

Includes:

    • Power BI modernization (SSRS/SSAS migration)
    • Enterprise semantic models
    • Role‑based access & governance policies
    • DevOps/CI‑CD for data pipelines & models
    • Monitoring, observability, and platform health

🔹 5. Optimization, Governance Maturity & Continuous Improvement

We ensure the platform remains cost‑efficient, scalable, and aligned with evolving business needs. This includes governance maturity, FinOps practices, and ongoing platform optimization.

Includes:

    • Azure Cost Management & FinOps
    • Performance tuning & workload optimization
    • Governance & stewardship programs
    • Platform scaling & domain expansion
    • Continuous improvement roadmap
on-point-bi-enterprise-data-strategy