Oracle EBS to MS Azure Synapse Analytics

Customizable MS Azure Synapse Analytics for Oracle EBS provides fast data transformation and migration, with pre-built models, transformations.


Are you looking for a way to speed up your analysis of Oracle EBS data in Azure Synapse?

Add this app to Incorta and experience 10x faster deployment of analytics solutions for accounts receivable, general ledger, and more. You’ll have near real-time insights on critical operational data directly within Azure Synapse. End-to-end analytics for decision making allows you to query across raw data from Oracle E-Business Suite (R12.x onwards) and other business applications.

In just a few clicks, our templates consolidate your data from EBS data sources, transforming into prebuilt star schema models for insights in Azure Synapse. This accelerates your data mart deployment and automates your data model design and source schema mapping with no data modeling or extract, transform, and load (ETL) required.

After deploying and loading the data in Azure Synapse, this data app also provides customizable Power BI dashboards to visualize your data.

Answer questions like:

  • Which suppliers have quality and delivery issues?
  • Are there outstanding payments for these suppliers?
  • Which booked orders aren’t invoiced yet? (financial backlog)
  • Which orders aren’t shipped yet? (operational/fulfillment backlog)
  • Which orders are picked but not yet shipped?

Supported modules include

  • Payables
  • Receivables
  • General Ledger
  • Procurement/Inventory
  • Order Management
  • Human Capital Management (HCM)

Power BI reporting dashboards and metrics include

Order management and order-to-cash

  • Booking, backlog, and billing metrics
  • Total order revenue and ordered quantity
  • Top customers and items
  • On time and late shipped amount
  • Backlog by category
  • Returns and much more

Procure-to-pay and spend analytics

  • Top requisitions count
  • Top 10 suppliers with outstanding payment
  • Discount savings
  • PO details
  • Spend by category
  • Invoice holds
  • Payment due aging and much more

General ledger (GL)

  • GL balance by segment
  • Journal details and much more

Human Capital Management (HCM)

  • Headcount by gender, location and other dimensions
  • Compensation
  • Various trends and much more