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Concept visual of a custom business intelligence dashboard with revenue charts, KPI tiles and a live activity feed on a dark navy background.
AnalyticsSpecified

Custom Dashboard

One reconciled view of pipeline, delivery and revenue.

Modules
6
Journey steps
4
Integrations
4
Indicative build
4–8 weeks

How to read this page: Concept specification: this page documents a system TECH360 can build. It is not a delivered client project, a verified case study, a working demonstration or a measured outcome.

B · Problem & target users

What this system is designed to replace

  • Pipeline, delivery and revenue are reported from three different spreadsheets.
  • Definitions of the same metric differ between reports.
  • Nobody can trace a dashboard number back to its source rows.

Target users

  • Executives
  • Department leads
  • Analysts

C · Objectives & intended benefits

Design intent, not measured outcomes

  • Define each metric once with an owner and a formula.
  • Refresh from source systems on a schedule with recorded lineage.
  • Drill from a summary figure to the underlying records.

These are goals the build is designed to serve. No efficiency, revenue or conversion result is claimed.

D · Product overview

What the system is, and where it runs

A business intelligence dashboard built on the operational database: KPI tiles, cohort and funnel charts, scheduled summaries, and drill-down into the underlying records.

Executive view

Summary metrics with trend and variance.

Analyst workspace

Definitions, lineage and drill-through.

Scheduled export

Consistent snapshots for offline reporting.

Platforms listed describe the intended build. A specific engagement may narrow or extend them after scope approval.

E · Module inventory

Modules in the specification

  • KPI tile engine
  • Time-series and funnel charts
  • Scheduled email summaries
  • Drill-down to source records
  • Access-scoped reporting
  • Export (CSV / PDF)

Capabilities the system is designed to provide

  • Report on the same records the team operates, not a stale export
  • Scope every chart to the viewer’s role
  • Schedule a summary to leadership on a fixed cadence
  • Drill from a number to the rows behind it

F · Screen gallery

No verified product screenshots for this concept

This project has not been built, so there are no application screenshots to show. The image on this page is a generated concept visual, not a capture of working software. Presenting it as a product screenshot would misrepresent the system, so this section says so explicitly.

Concept visual of a custom business intelligence dashboard with revenue charts, KPI tiles and a live activity feed on a dark navy background.
Generated concept visual — not a screenshot of a working application.

G · User journey

The intended path through the system

  1. Step 1

    Define

    A metric is registered with formula, owner and grain.

  2. Step 2

    Ingest

    Source data lands on schedule with row counts recorded.

  3. Step 3

    Compute

    Metrics are computed and compared to the prior snapshot.

  4. Step 4

    Explore

    A reader drills from the figure to contributing rows.

H · Roles & permissions

Who can do what

Roles and their access boundary
RoleAccess boundary
ExecutiveSummary metrics for permitted departments.
AnalystDefinitions, lineage and drill-through.
Data stewardMetric definitions and refresh schedules.

I · Architecture & API

Service boundary and HTTP surface

API endpoints
EndpointPurpose
GET /api/metricsMetric values for the caller's scope.
GET /api/metrics/:key/lineageDefinition, formula and sources.
POST /api/syncTrigger a load with recorded outcome.

Endpoints are the intended contract. Authorisation is enforced server-side per role, never only in the interface.

J · Data entities

Core entities and relationships

Data entities
EntityRelationship
MetricDefinitionOwned by one steward; has many snapshots.
SourceSyncRecords load time, rows and failures.
SnapshotBelongs to a metric; stores computed value and grain.
LineageLinks a metric to its source tables.

K · External integrations

Provider-dependent integration points

  • Operational database
  • SMTP summaries
  • CSV / PDF export
  • Optional BI tool
  • Source databases
  • Spreadsheet import
  • Warehouse
  • BI export

Each integration is configured and accepted against the specific provider account before go-live.

L · AI & automation

Opportunities and their human gate

Explain a variance in plain language from recorded drivers.

Human gate: Analyst confirms the explanation before it is published.

Draft a metric definition from a described calculation.

Human gate: Steward approves the definition and formula.

M · Security, privacy & accessibility

Controls the build is specified to enforce

  • Row-level scoping limits each role to permitted departments.
  • Refresh credentials are read-only and rotated.
  • Snapshot history is immutable for audit.

Accessibility is treated as an acceptance criterion for keyboard, focus and contrast on every screen. No certification or audit result is implied.

N · Testing & quality assurance

What would have to be proven before handover

  • Metric formula tests with fixed fixtures.
  • Idempotent refresh tests.
  • Row-level access tests per role.

O · Deployment & hosting

Where and how it would run

  • Scheduled loader plus web app
  • Read replicas for heavy queries
  • Backup of snapshots and definitions

P · Maintenance & scalability

Keeping it maintainable

  • Schema-change monitoring for sources
  • Failed-load alerting
  • Metric deprecation process

Q · Optional advanced features

Out of the initial scope, available later

  • Forecasting with confidence intervals
  • Metric change history
  • Embedded customer-facing reporting

R · Related

Related solutions and next step

Sector blueprint: Technology Companies solutions

What this page does not claim: No forecast accuracy is claimed. Historical reporting depends on the data history available at go-live.

Claims policy: this page is checked against a forbidden-claim list (6 patterns, including invented percentage results, “case study” and guarantee language) by the repository test suite.