We handle the implementation
We review the load and its cross-system dependencies, then build the selected replacement workflow.
Our ODI Enterprise Edition reporting load spans several applications and owners. Specialists are tied up. Can you coordinate one load’s move, check each team’s results, and keep the wider Oracle setup in place?
Mage
Yes. We’ll handle the selected rebuild, check the reporting dataset, and take on ongoing operation within agreed limits.
Start with one load. We’ll work out the plan with you.
Overview
Get the reporting dataset your team needs without another internal ODI Enterprise Edition rebuild.
We review the load and its cross-system dependencies, then build the selected replacement workflow.
We maintain the agreed reporting dataset workflow and route exceptions to the people who can decide.
Check the reporting dataset, get answers, and make charts with access you control.
Your reporting dataset draws on several applications through ODI Enterprise Edition. We follow the mappings, source approvals, and load order, then take on the selected rebuild and the checks each owner needs.
Follow the cross-system dependencies. Map the source applications, ODI mappings, and load order behind the reporting dataset.
Agree what moves and stays. Scope the selected load, database rules, and access approvals. Identify Oracle services and other loads that stay in place.
Check each owner’s result. Reconcile source totals, cross-system matches, and target data within the required load window.
Coordinate the switch. Confirm approvals and recovery ownership before the new load takes over. Your specialists stay focused on the wider environment.
Illustrative workflow and sample values. We scope the selected enterprise load, its access controls, and the Oracle components that stay in place.
One maintained reporting load, with agreed checks across its sources. Your team gets the exceptions that need an application owner’s decision.
Source ready · Totals reconciled
Recover the selected load
Follow agreed recovery steps and recheck source totals and target data before reporting resumes.
Source totals checked
Check across application boundaries
Verify that records match between systems and the delivered totals agree with their sources.
Plan for busier runs
Size the selected reporting load for its agreed volume and delivery window.
Illustrative recovery and sample values. We agree which steps may run automatically, what to check afterwards, and when your team must decide.
Explore differences between source applications and chart the maintained reporting data. Approved teams get useful answers within their access rules.
Ask a question and explore the data behind the answer.
General Mage product demos. The workflow examples above are illustrative.
Choose where your data work runs and who can see or change it.
Runs where you need it
Team spaces
Access you control
Illustrative team spaces and review stages.
Your systems
Run in the cloud or on your own systems.
Your team
Set access for each team and approve changes before they go live.
Our support
Get help with questions, changes, and problems as your needs evolve.
Which enterprise load is waiting on several teams? Share the dataset, source owners, and what must stay. We’ll scope one reporting deliverable and its ongoing operation.