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Jet Analytics

Build Your AI-Ready Data Foundation 10x Faster

Cloud‑native integration for Microsoft Dynamics that ingests, models, and delivers clean ERP data across Fabric, Snowflake, and Azure.

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Capterra 4.5 star rating
4.5
 
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The Data Platform Built for Dynamics Teams

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Works With Your Entire Microsoft Ecosystem

Connect your Dynamics data to Fabric, Snowflake, Azure, and more. Native connectors deliver faster, more reliable data to Power BI, Excel, and every BI tool you use.  

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Jet Analytics Classic

The SQL-Based Data Warehouse for Dynamics

Built for on-premises and air-gapped environments, Classic gives Dynamics teams full control over their data warehouse without cloud dependencies.

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Proven Results for Finance & Data Teams

10x

vs. building a data foundation manually

70%

lower data pipeline build costs

50%

reduction in data maintenance costs

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Get Started With Jet Analytics

Whether you're evaluating options, ready to see the platform in action, or diving into the technical details, we have resources built for every stage of your journey.

  • The 4 Data Integration Approaches (And Why One is the Clear Winner)

    Whitepaper

    The 4 Data Integration Approaches (And Why One is the Clear Winner)

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  • 10 Strategies for Reducing Microsoft Fabric Costs With Jet Analytics

    Whitepaper

    10 Strategies for Reducing Microsoft Fabric Costs With Jet Analytics

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Built for Finance Leaders & BI Teams Running Dynamics ERPs

IT & BI Leader

Self-Service Analytics

Deliver governed analytics on modern cloud infrastructure without becoming the bottleneck for every pipeline change or report request.

CFO

Always-trusted Numbers

Get consolidated Dynamics financial data without waiting on IT. Every dashboard reflects accurate numbers—governed, consistent, and AI-ready.

FP&A Director / Controller

On-Demand Reporting

Pull accurate reporting across Dynamics without navigating ERP complexity. Run models on Fabric or Snowflake without rebuilding pipelines from scratch.

Data Engineer

Metadata-driven Dev

Build governed data infrastructure without writing ETL from scratch. Metadata-driven tooling scales with your architecture—not against it.

D365 Project Managers

Migration Bridge

Keep AX historical data accessible during D365 F&SCM migrations. Report seamlessly across old and new systems without complex data migration projects.

Ready to See Jet Analytics in Action?

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Capterra 4.5 star rating
4.5

Frequently Asked Questions

What is Jet Analytics?

Jet Analytics is a cloud-based data integration platform that connects your Microsoft Dynamics ERP to modern cloud storage platforms like Microsoft Fabric and Snowflake. It automatically structures your ERP data into a clean, analytics-ready foundation so your team can build Power BI dashboards, Excel reports, and AI-driven insights without manual data work.

What's the difference between Jet Analytics and Jet Analytics Classic?

Jet Analytics is the modern, cloud-based platform built for organizations moving to Microsoft Fabric, Snowflake, or other cloud architectures. Jet Analytics Classic is the proven SQL-based data warehouse for teams that need a solution running in their own on-premises or air-gapped IT environment. Both are fully supported — the right choice depends on where your organization wants to operate.

What cloud platforms does Jet Analytics support?

Jet Analytics supports Microsoft Fabric, Snowflake, Azure Data Lake, and Azure SQL. You choose the storage target that fits your organization's data strategy — Jet Analytics handles the connection and data structuring.

How does Jet Analytics help with AI?

Most AI initiatives fail because the underlying data isn't clean, governed, or structured. Jet Analytics automates the ingestion, cleansing, and transformation of your Dynamics data into a trusted foundation that AI and machine learning tools can actually use — up to 10x faster than building that foundation manually.

How is Jet Analytics different from just using Power BI with Dynamics?

Power BI is a visualization tool — it needs clean, structured data to work well. Dynamics ERP databases are built for transactions, not analytics, which means connecting Power BI directly often results in slow reports and complex data modeling. Jet Analytics sits between Dynamics and Power BI, automatically structuring your ERP data so Power BI performs the way it's supposed to.

Do I need a data engineer or developer to use Jet Analytics?

No. Jet Analytics is built on a metadata-driven, low-code approach. Finance and BI teams can manage and use the platform without writing ETL pipelines or custom SQL. Technical teams will appreciate the architecture, but you don't need one to get value from day one.

What are Jet Analytics cubes and why do they matter?

Jet Analytics ships with pre-built data models — called cubes — that already understand Dynamics' financial data structures, including charts of accounts, dimensions, time intelligence, and hierarchies. Instead of your team spending weeks modeling ERP data manually, those relationships are already built in. That means faster Power BI development, consistent KPIs across teams, and reports that actually reflect how your business works.

How long does it take to get up and running?

Implementation time varies by organization, but Jet Analytics is designed for fast time to value. The pre-built Dynamics data models eliminate the majority of manual setup work that slows down traditional data warehouse.
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