Data Panda brings the Oracle databases behind your enterprise systems together with the data from the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and custom apps your team uses every day.
Oracle Database is the multi-model relational database from Oracle Corporation, currently in version 23ai. It runs on-prem, on Oracle Cloud Infrastructure and on the major hyperscalers, and supports relational, JSON, graph, spatial and vector workloads in a single engine. It is the database under Oracle Fusion Cloud, JD Edwards and Siebel, under most banking core systems, and under thousands of internal applications written between 1995 and last quarter.
The point of pulling Oracle into a warehouse is that the data inside it is usually the most valuable in the company and the hardest to get at. Schemas are large, packages and triggers carry a lot of business logic, and reporting on the production instance competes with the nightly batch window that finance still depends on. In a warehouse, your Oracle tables and views become a first-class source next to Salesforce, Dynamics, Snowflake and the accounting ledger, queryable in SQL without anyone touching the production listener.
Oracle tables and views joined to the rest of the business, without queries on the production instance.
Let changes inside Oracle-backed systems drive workflows across the stack.
Score, classify and forecast on the operational data Oracle already holds.
Internal tools on Oracle data without handing out database credentials.
A list of concrete reports, automations and AI features we have built on Oracle Database data. Pick the one that matches your situation.
Are our reports still queueing behind the Oracle batch window?
A survey of which dashboards and exports query Oracle directly, with their runtime and the batch jobs they collide with. Identifies the reports finance is waiting on every morning and the ones that should move to the warehouse first.
What does our Fusion or JDE data say next to the CRM?
GL, AR and order tables from Oracle joined to Salesforce or Dynamics on the same customer key. Sales sees outstanding receivables and order status on the account, instead of asking finance for a screenshot from the Oracle client.
Which Oracle objects does our reporting still depend on?
Usage map of tables, views, packages and synonyms touched by current reporting, with the orphaned ones flagged. Makes the conversation about an upgrade or a license review fact-based instead of guess-based.
GL, AR and AP from Oracle joined to the rest of the business in one model. Receivables risk, cash forecasting and management reporting all run on the same Oracle source of truth without locking the production instance.
Outstanding orders, invoices and receivables from Fusion or JDE visible on every Salesforce account. Reps see whether the customer is paying on time before they push for an upsell.
Inventory, fulfilment and master-data quality monitored across Oracle instances. Schema drift and table-usage decline get flagged before the next upgrade conversation.
Order, invoice and receivables data from Oracle Fusion or JDE pushes onto Salesforce accounts as custom fields and timeline activity. Account executives see open orders and overdue invoices on the record, without logging into the Oracle client or asking finance for a status report.
Customer, item and order keys are matched between Oracle and Dynamics 365 Finance and Operations in the warehouse, so reporting reads one consolidated view during the months or years a migration takes. Finance gets a single set of numbers across both systems while the cutover plays out.
JD Edwards data, which lives inside Oracle Database for most JDE deployments, joins the CRM, the accounting export and any non-Oracle subsidiary system in one warehouse model. Group reporting stops pretending JDE is a black box.
Oracle tables and views are replicated into Snowflake on an incremental cadence, with schema changes versioned in the destination. The heavy analytical work runs in Snowflake while the Oracle production instance keeps serving the application.
You keep the reporting tool you already have. We connect it to the warehouse where your Oracle Database data lives.
OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.
Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.
We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.
We set up the foundation. Your team builds on top.
Best fit Teams that already have a BI analyst or data engineer and want to own the build.
We build the whole thing, end to end.
Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.
You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.
Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.
No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.
Log-based change-data-capture against Oracle redo logs or a standby database is the default, so reporting workload never blocks the primary or the nightly batch. For smaller schemas, scheduled incremental sync on an updated-at column is an option. The load profile is tuned per instance.
Yes. JDE and Siebel run on Oracle Database in most deployments, and the underlying tables and views are pulled the same way as any other Oracle source. Oracle Fusion Cloud is read through its supported extract paths and joined to JDE, Siebel or other Oracle systems in the warehouse.
Reading from Oracle through a connector follows the same licensing terms as any other client of the database. Most teams move heavy analytical queries off the Oracle instance and onto the warehouse, which usually reduces pressure on the Oracle CPU footprint rather than adding to it. Licensing specifics should still be confirmed with your Oracle account.
We review your Oracle Database setup and the systems around it. Together we pick the first thing worth building.