Process before platform
Technology is selected after users, rules, data and long-term ownership are understood.
How We Work
From operational problem to working system.
A transparent delivery process with clear decisions, client responsibilities, testable outputs and controlled change.
Delivery principles
The rules that keep a build grounded.
The platform can change. These principles remain consistent across low-code, automation, analytics and custom development.
Real scenarios before release
Representative records and edge cases are tested instead of validating only the happy path.
One accountable owner
Every system needs a client-side owner who can confirm rules, priorities and acceptance.
Controlled scope
New requirements are assessed for impact rather than quietly added during implementation.
System delivery
Six stages with a visible output at every step.
A stage is complete when the necessary decision or artifact exists, not simply because time has passed.
Discover
Understand the existing process, bottlenecks, users, responsibilities, documents and business rules.
Output: Discovery notes and problem definition
Client contribution
Process owner and representative users
Decision
What problem is worth solving first?
Design
Define the data structure, workflow states, permissions, integrations, outputs and user experience.
Output: Workflow, data and solution design
Client contribution
Validate rules, roles and exceptions
Decision
What should the future process look like?
Build
Implement the application, automation, dashboard or digital product in controlled working increments.
Output: Testable modules and build log
Client contribution
Review agreed demonstrations
Decision
Does the implementation match the approved design?
Validate
Test representative scenarios, permissions, calculations, documents, failures and edge cases.
Output: Scenario results and issue register
Client contribution
Supply realistic examples and acceptance feedback
Decision
Is the system operationally ready?
Deploy
Prepare data, access, documentation, training and rollout with clear ownership and recovery steps.
Output: Launch checklist and operating notes
Client contribution
Approve users, migration and launch window
Decision
How will the system enter daily use safely?
Improve
Review adoption, exceptions, data quality and changing requirements after real operational use.
Output: Prioritized improvement backlog
Client contribution
Nominate an owner and consolidate requests
Decision
What creates the most value next?
Working relationship
Clear ownership keeps projects moving.
DATA OVEN owns solution design and implementation. The client owns business decisions, representative data, user access and timely validation. Neither side can replace the other.
Discuss your processClient process owner
Confirms rules, priorities, users and acceptance decisions.
Working cadence
Scheduled reviews, consolidated feedback and visible decisions.
Access and data
Approved sample data, platform access and integration credentials.
Change control
Impact is reviewed before scope, sequence or delivery expectations change.
Quality gates
What we check prior to release.
Roles and permissions behave as intended
Calculations and status rules match approved examples
Automations include failure visibility where required
Reports use agreed metric definitions
Migration and launch responsibilities are assigned
Users receive the necessary operating guidance
After launch
A system is not finished when it first goes live.
Real usage reveals adoption gaps, unclear ownership, new exceptions and better opportunities. Support can be limited to an agreed launch window or continue through an Ongoing Systems Partner engagement.
Support scope, response expectations, monitoring responsibility and change-request handling are documented rather than assumed.