FCT responsibility
Inventory sources, fields, dependencies, and the minimum access needed to do the work.
01
Access boundary
Client control
Control source accounts, permissions, credentials, and approval for every data connection.
Data & Analytics
Make every important number traceable.
Reports disagree when sources, definitions, access, and owners stay implicit. FCT takes responsibility for building the data path and its controls. Your team keeps control of source systems, permissions, metric approval, reporting access, and production decisions.
Sources Operational systems and files
Definitions Named metrics and owners
Access Role-based permissions
Governed data model Traceable logic and quality checks
Decision-ready reporting Clear source, owner, and meaning
01
A reporting problem usually starts upstream.
Each important number needs a visible path from the original record to the decision it supports.
- 01
Source
Where the record begins and who is responsible for it.
- 02
Movement
How the record is joined, cleaned, and changed between systems.
- 03
Definition
The rule, time window, exclusions, and named metric owner.
- 04
Decision
Who uses the information and which operating action it supports.
02
A metric needs a chain of responsibility.
FCT builds and documents the data system. Your team authorizes access, meaning, owners, and use.
FCT responsibility
Turn business questions into traceable definitions, transformation logic, and quality rules.
02
Definition accountability
Client control
Approve the meaning, exclusions, decision owner, and who may see each result.
FCT responsibility
Build the data flow, reporting, quality monitoring, documentation, and handoff.
03
Operational use
Client control
Control reporting access, production decisions, and FCT access that can be reviewed and removed.
03
Seven stages protect the path from source to decision.
Definitions, access, quality, and operating responsibility stay visible through the full delivery cycle.
Seven-stage delivery discipline
- Diagnose
Map the decisions, source systems, reporting gaps, and current owners.
- Design
Define lineage, metric logic, access rules, quality checks, and reporting use.
- Build
Create approved data flows, models, definitions, and decision-ready reporting.
- Test
Reconcile results against source records and test missing, late, and unusual data.
- Monitor
Watch freshness, failures, and quality signals with named response owners.
- Document
Record lineage, definitions, permissions, operating steps, and decisions.
- Hand off
Confirm access, responsibilities, review routines, and team operation.
04
The team keeps a usable data record.
These deliverables support operation and review. They are not presented as completed client proof.
Data delivery register
-
Source inventory and lineage map
Shows where data begins, how it moves, and which systems and owners touch it.
-
Metric dictionary and owner register
Defines each important measure, its logic, exclusions, and responsible decision owner.
-
Access and permission matrix
Records which roles can reach each source, model, and report.
-
Transformation specifications
Explains how raw records become defined fields, measures, and reporting views.
-
Quality and reconciliation checks
Makes missing, late, duplicated, or conflicting data visible and reviewable.
-
Operating guide and handoff checklist
Documents review routines, recovery steps, access review, and team responsibilities.
05
Questions leaders ask before rebuilding reporting.
Do we need a new data platform first?
Not always. FCT starts with the decisions, sources, access boundaries, and current reporting. Architecture follows the operating need and the systems already in place.
Can this include spreadsheets and imperfect CRM data?
Yes. Those sources are mapped honestly, with named limitations and quality checks. The goal is traceable information, not a cleaner story than the data supports.
Who decides what a metric means?
A named client owner approves the business definition and how it will be used. FCT documents the logic, lineage, exclusions, and related quality checks.
How does reporting stay dependable after launch?
Freshness and quality checks make failures visible. The operating guide names who reviews each signal, what to investigate, and how to recover.
Next decision
Bring one number your team does not trust.
We can trace the source, definition, owner, and decision path to see what must become clear before new reporting is built.
Talk to Fernando fernando@fct.dev Fernando replies personally, Monday to Friday.