Capability
Data & intelligence
Deliver governed data products, migration evidence and production analytics through named ownership, quality controls and reusable delivery practices.
Page purpose
What the Data & intelligence capability delivers and how it connects to the modernization lifecycle.
VERTEX runs data and intelligence as a bounded delivery engagement around a decision, migration or operational workflow. The team discovers the required records and permissions, resolves ownership questions, implements the selected data increment and prepares it for acceptance.
The service can cover master data, migration, analytics and AI enablement, but each work package has a named consumer, baseline, quality target and correction route. Platform and model choices are made inside that delivery boundary rather than treated as the outcome.
When to use this capability
Situations that call for this delivery capability.
- Reports disagree because business terms, source authority, transformation logic and time context are inconsistent.
- Critical master data is duplicated across systems with no accountable process for creation, change and correction.
- Analytics or AI pilots proceed without sufficient permissions, representative data, evaluation criteria or operational ownership.
Service scope
Outputs a buyer can inspect.
- Work-package charter and decision ledger covering consumers, source authority, sensitivity, definitions and unresolved ownership.
- Implemented data increment with mappings or transformations, contracts, lineage, quality checks and access configuration.
- Reconciliation or evaluation report showing the baseline, reviewed exceptions, acceptance thresholds and disposition.
- Operational handover pack covering monitoring, correction queues, support ownership, retention and controlled change.
Delivery pattern
From discovery to acceptance evidence.
- Agree the work-package boundary, consumer, baseline, acceptance authority and evidence needed for a decision.
- Profile representative sources, settle priority definitions and route ownership gaps to named decision makers.
- Build the smallest usable migration, data product, analytic or AI slice with its quality, access and review controls.
- Run reconciliation or evaluation, clear material exceptions, transfer operating responsibilities and gate any expansion.
Operating value
The operating change that should remain.
- Approved authority, definition and remediation decisions for the records required by the work package.
- A working migration, data product, analytic or AI increment with controlled access and observable failure behavior.
- An acceptance, expansion or stop decision supported by reconciliation, usage or evaluation evidence.
Performance evidence
Evidence of impact, not activity completion.
- Lead time from identified definition or ownership conflict to an approved decision.
- Reconciliation coverage and unresolved material exceptions at each acceptance gate.
- Time from a detected quality failure to assignment, correction and verified closure.
- Observed use-case performance and human-review workload against the agreed baseline.
Delivery boundaries
Boundaries that keep delivery honest.
- The work package can expand across domains before a consumer and acceptance decision are secured.
- Ownership disputes can stall implementation while pipelines or models continue to accumulate assumptions.
- A technically complete increment can fail acceptance when evaluation data or reviewer capacity is unrepresentative.
Decision questions
Questions that bound the capability before engagement.
How is the first data or AI work package chosen?
The first package is selected for bounded value, available decision owners, representative data and an acceptance method that can be exercised without committing the wider estate.
Can the engagement cover both data foundations and an AI use case?
The engagement can connect them when the scope remains testable: data authority and quality are established for the selected task, then the AI behavior, human review and operating handoff are evaluated together.
Related decision