Jet Analytics vs Dynamics 365 Data Entities: The Architecture Decision That Determines Your Reporting ROI
Dynamics 365 data entities feel easy path when you are already using it but Jet Analytics gives you a cloud solution. After delivering both across the MEA region and North America, we’ll show you exactly where each one breaks down, and when you need both.
Jet Analytics vs D365 Data Entities: Decision Guide
Head-to-Head: Jet Analytics vs Dynamics 365
Data Entities Across 10 Reporting Dimensions
This is the comparison every D365 reporting project needs before architecture decisions are made.
Jet Analytics is not always right choice, so before we scope any implementation, we run every client environment through same decision criteria below.
| Criteria | Jet Analytics (SSAS / Data Warehouse) | D365 Data Entities (OData / Direct Query) |
|---|---|---|
| Query performance at scale | Pre-aggregated — sub-second on 10M+ rows | On-demand OData queries slow above 500k rows |
| Real-time data freshness | Scheduled refresh (hourly minimum) | Live — reflects every posted transaction |
| Complex cross-module reporting | Star schema joins across any BC / F&O tables | Limited to exposed entity relationships |
| Historical trend analysis | Full history retained regardless of ERP purges | History subject to ERP data retention policies |
| Custom tables & ISV data | Full access via Jet Data Manager connectors | Only entities Microsoft or ISV has published |
| Multi-company consolidation | Native — one model, many companies | Requires separate entity calls per company |
| ERP load impact | Zero — queries hit the data warehouse, not BC | Direct queries compete with user transactions |
| Setup complexity | Higher — data warehouse + cube deployment required | Low — native connector, no additional infrastructure |
| Licence cost | Jet Analytics licence + server infrastructure | Included with D365 — no additional licence |
| Best fit | Enterprise reporting, finance analytics, operational BI | Operational lookups, simple departmental reports |
The most common mistake we fix: teams build their entire Power BI reporting layer on D365 data entities, then discover the OData throttling limits when transaction volumes grow. Migrating off that architecture mid-project costs significantly more than scoping it correctly from the start. If you’re above 100,000 monthly posted transactions, book a scoping call before you build.
When to Buy Jet Analytics for Business Central
and When Data Entities Are Enough
The right architecture depends on your transaction volumes, consolidation requirements and reporting timeline not a vendor recommendation.
Here is how we make that call before any Jet Analytics purchase.
Your reporting demands outgrow
what data entities can deliver
- Finance team needs P&L, balance sheet and budget-vs- actuals across multiple companies in one view
- Reports run slow or time out in Power BI with current data volumes
- You need historical snapshots that survive ERP data archiving
- Reporting must include custom tables, ISV add-ons or non-D365 sources
- Business requires consistent, governed measures across Excel, Jet Reports and Power BI simultaneously
- You're on Dynamics NAV, AX or GP and need to consolidate with a current D365 entity
Your reporting scope is contained & transaction volumes are low
- Under 50,000 posted transactions per month across all modules
- Single-company deployment with no consolidation requirement
- Reports are operational lookups like open orders, inventory levels, aged receivables, not analytical trends
- Finance team reports are simple and don't require period comparisons or multi-dimensional slicing
- Budget is the primary constraint and short-term needs can be met natively
The 3 Points Where D365 Data Entities Break and
When to Upgrade to Jet Analytics
Jet Analytics solves specific performance and architecture problems. If your Business Central environment has not hit those thresholds yet, data entities may be sufficient and we will tell you that before you spend anything on a Jet Analytics licence.
OData throttling at volume
Microsoft enforces OData call limits and row caps on D365 APIs. Once transaction volumes grow, Power BI reports start timing out or returning incomplete data. This is a platform ceiling, not a configuration issue — it cannot be tuned away.
Cross-module joins require workarounds
Combining sales, inventory and finance data in a single report via data entities means multiple separate entity calls and merging in Power Query. The data model becomes fragile. A Jet Analytics data warehouse does this in single governed layer that every BI tool can query.
No pre-aggregation means slow dashboards
Data entity queries run live against the D365 database. A P&L that scans three years of G/L entries on open runs takes 30–90 seconds. A Jet Analytics cube pre-calculates the same number and returns it in under a second every time.
What a Jet Analytics implementation
from Global Data 365 includes
We are the authorized insightsoftware distributor for the Middle East and Africa and a Microsoft Partner. When you buy Jet Analytics through us, you get licensing, implementation and support from one team and our prebuilt cube library ships with every engagement at no additional cost.
Architecture and data warehouse setup
- Jet Data Manager (JDM) configured against your D365 BC, F&O, NAV or AX tables
- Incremental load schedules aligned to your posting and close calendar
- Star schema dimensional model the foundation that makes every report fast
- Multi-company consolidation configured from day one if required
Reporting layer and
adoption
- 12 prebuilt SSAS cubes covering every core BC and NAV module included free
- Power BI, Jet Reports and Excel connections tested and documented
- Row-level security and governance configured before user onboarding
- Jet Analytics training for your finance and BI team to maintain and extend the model
Not sure which architecture is right for your D365 environment?
Book a 30-minute call with our expert team and we will review your current reporting setup, transaction volumes and consolidation requirements.
Questions buyers ask before choosing between
Jet Analytics
and Dynamics 365 data entities
Yes and many organizations follow exactly this path. Data entities through OData are available the moment Dynamics 365 is live, so teams often start there for basic Power BI reports while transaction volumes are low. When reports begin slowing down typically past 50,000 to 100,000 monthly posted transactions a Jet Analytics implementation migrates reporting to a pre-aggregated SSAS cube layer without disrupting the ERP. The migration involves setting up Jet Data Manager, defining the star schema and rebuilding existing Power BI reports to point at the cube instead of the OData endpoint. Most clients complete this in one to two weeks. The data entities remain available in Dynamics 365, they are simply no longer the primary reporting layer.
Jet Analytics replaces data entities as the primary reporting layer for financial and operational dashboards Power BI reports, Excel-based financial statements and cross-module analyses. Data entities remain useful for operational lookups, lightweight integrations and specific Microsoft app connections that require OData. The practical outcome for most clients is that Power BI and Jet Reports connect to the Jet Analytics cubes for all governed reporting, while data entities continue to serve system-level integrations in the background.
Jet Analytics supports Dynamics 365 Business Central (all versions from NAV 2016 onwards, including cloud SaaS), Dynamics 365 Finance & Operations, Dynamics NAV and Dynamics AX. It also supports multi-version environments where an organization is running a combination for example, consolidating entities on NAV with newer entities on Business Central into a single reporting layer. Global Data 365 implements Jet Analytics across all supported versions in the UAE, Saudi Arabia, Middle East all over and the United States.
A standard Jet Analytics implementation with Global Data 365 takes one to two weeks. The core five cubes General Ledger, Accounts Receivable, Accounts Payable, Inventory and Budget are typically live and delivering figures in the first week. The full set of 12 prebuilt cubes along with Power BI connections, row-level security and multi-company consolidation configuration, is completed in week two. Further you can also opt for the training for the finance and IT team which is additional services. The timeline varies based on the number of companies, data volume and any custom or ISV tables that need to be incorporated.
Yes, Global Data 365 provides post-implementation support for all Jet Analytics deployments. As the authorised insightsoftware distributor for the Middle East, we handle both the software and the implementation which means the same team that built your cubes is the team you contact when a new reporting requirement comes in, when a Business Central upgrade affects the data model or when a new company entity needs to be added to the consolidation layer. Our support is available across UAE, Saudi Arabia, Middle East and the United States.
