Use Microsoft Fabric as the M365 Analytics Backbone

The Big Promise

• OneLake = one logical data lake for all Fabric experiences (Power BI, Data Factory, Synapse).

• Store once, use everywhere: same data, same permissions, same lineage—no shadow copies.

• Platform > connectors: governance, security, and compliance applied at the lake, not per tool.

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Why This Matters (Reality Check)

• Siloed tools = duplicated datasets, mismatched permissions, and week-long “where did this number come from?” hunts.

• IDC-style pain: most analytics time is lost to prep and reconciliation—not analysis.

• Fabric replaces multi-tool juggling with a single reservoir everyone draws from.

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Inside the Architecture (Clear & Fast)

• OneLake at the core: delta/Parquet-first storage; artifacts are instantly visible across experiences.

• Fabric experiences:

  • Data Factory for pipelines & orchestration.

  • Synapse for engineering, SQL/ML, and large-scale analytics.

  • Power BI for semantic models & visuals—directly over OneLake.

• Unified governance: labels, DLP, RBAC/RLS, lineage, and retention travel with the data.

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What Actually Changes for Admins & Data Pros

• Set policy once, enforce everywhere: retention, sensitivity, and access follow the dataset across tools.

• Lineage you can trust: end-to-end mapping from source → transform → model → report.

• Fewer copies, fewer tickets: no export/import daisy chains; reduce “why can’t I see X?” helpdesk churn.

• Capacity, not chaos: one Fabric capacity covers the stack; monitor and tune in one place.

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Reference Patterns (Text-Only)

BI over shared truth
Source (D365/ERP/CSV) → Data Factory (ingest) → OneLake (bronze/silver/gold) → Power BI semantic model → Reports/Apps

Real-time ops
Events → Event Hub/Streaming → Fabric Real-Time Analytics/Synapse → OneLake gold → Power BI DirectQuery → Alerts/Teams

Data science
OneLake gold → Synapse notebooks/SQL → features back to OneLake → Power BI & apps (same governed data)

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Governance & Security Must-Dos

• Least privilege via AAD groups; avoid direct user ACLs.

• RLS/OLS in the semantic model; validate persona views.

• Sensitivity labels + DLP at the domain level; test export/Share pathways.

• Schema drift watch: Dataflows Gen2 profiling + alerting.

• Audit playbook: know which events surface in Fabric activity vs. M365 Unified Audit.

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Migration & Adoption (Pragmatic Plan)

Phase 0 (Prep): Inventory datasets, owners, labels; map “copy chains” to kill.
Phase 1 (Pilot): One domain (e.g., Finance): land sources in OneLake, refactor a top report to a shared semantic model.
Phase 2 (Scale): Bring Marketing/Sales; consolidate duplicate models; standardize bronze/silver/gold.
Phase 3 (Harden): Capacity tuning, cost guardrails, access recertification, lineage-based audits.

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Cost & Capacity Tips

• Start with Premium/Fabric capacity sized to peak model refresh + concurrency; monitor utilization weekly.

• Import for history, DirectQuery/Hybrid for hot paths; cache critical visuals.

• Kill duplicate refreshes by centralizing models; reuse across workspaces.

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Red Flags & Fixes

• Shadow datasets in personal or legacy workspaces → move to OneLake + shared semantic models.

• Broken lineage after ad-hoc exports → enforce publish via governed pipelines only.

• License confusion → standardize on Fabric capacity + app distribution; minimize per-user sprawl.

• Feature gap on niche workloads → keep a small legacy island temporarily; set a deprecation date.

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KPIs for “It’s Working”

• Duplicate dataset count ↓

• Time-to-incident trace (minutes) ↓

• Report refresh failures & SLA breaches ↓

• Active viewers per shared semantic model ↑

• Audit coverage (events resolved in one pane) ↑

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Quick Wins (This Week)

• Pick one high-traffic report; rebuild on a shared semantic model in OneLake.

• Turn on lineage view and share with compliance.

• Add a data freshness badge to exec dashboards.

• Run an access diff (workspace vs. item-level) on top 10 datasets; fix mismatches.

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FAQ (Fast)

• Is Fabric just rebranding? No—OneLake + unified governance + shared capacity change how data flows.

• Do we need to migrate everything now? Start with a domain pilot; expand by business value.

• What about non-Microsoft sources? Land them in OneLake; govern once, reuse everywhere.