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Business Functionality

This page explains what Value Stream does in business terms. It is intended for analysts, product owners, data leads, and reviewers who need to understand the capabilities without reading processor code.

Business Objects

Object Business meaning
Workspace One reporting environment, such as a demo, market, business line, or migration target
Source A family of input files, such as Interaction History or Product Holdings
Transform A repeatable rule that cleans or enriches source fields before aggregation
Processor A business aggregation plan for a source, metric family, and set of dimensions
Metric A user-facing measure calculated from processor state
Dashboard A curated collection of report pages and tiles
Tile One chart, KPI, table, or visualization bound to a metric
Run One ingestion execution recorded for traceability
Chunk The idempotent unit of input processing, commonly derived from file names

Capability Areas

Area What users can answer
Engagement How many interactions occurred, how many were positive, and what was the engagement rate?
Conversion and revenue Which channels, offers, or groups convert, and how much value do they generate?
Model quality How are propensity, priority, rank, ROC AUC, average precision, and calibration behaving?
Response time and numeric distributions What are medians, percentiles, and distribution shapes for numeric fields?
Experiment monitoring Are test and control groups materially different?
Funnels Where do users or outcomes drop between configured stages?
Customer lifecycle and CLV What are recency, frequency, monetary value, lifetime value, and segment summaries?
Cohorts and sets How do approximate entity sets overlap or change by cohort?
Snapshots What is the aggregate state at periodic points in time?
Operations Are source files loaded, current, complete, and traceable?

Core Workflow

  1. A user or automated job places source files into the configured workspace.
  2. Value Stream discovers files and groups them into chunks.
  3. The ingestion engine applies catalog transforms and writes aggregate state.
  4. The query layer resolves metrics from aggregate state rather than raw rows.
  5. Reports, chat, CLI queries, SDK calls, and DuckDB exports use the same aggregate query path.
  6. Operators inspect freshness, runs, chunks, config hashes, and validation status when results need review.

Reports Workflow

The Reports page presents configured dashboards from dashboards.yaml.

  • A dashboard contains pages.
  • A page contains tiles.
  • Each tile binds to one metric and one chart kind.
  • Page filters are authored from persisted group-by columns, with inference for older catalogs and validated all-tile/compatible-tile coverage.
  • Partial filters identify both their coverage and every unsupported tile.
  • KPI-strip cards use explicit scalar, comparison/target, and sparkline settings; Reports never guesses a reducer for an ordinary chart.
  • Presentation and Inspect modes let users switch between business viewing and data/query inspection.

This design keeps the report surface flexible while preserving the aggregate contract: a page can only filter by dimensions that were persisted during processing.

Configuration Workflow

Business users and data engineers can update workspaces in three ways:

Path Best for
YAML edits Precise, reviewable changes in source control
Configuration Builder Catalog-first source, processor, metric, tile, chat, and settings authoring inside the UI
AI Configuration Studio Drafting catalog YAML from an uploaded sample and LLM responses, then reviewing and applying it

Every path should end with catalog validation before data is loaded or reports are trusted.

Governance and Traceability

Value Stream records enough context to explain where a number came from:

  • The catalog is validated and hashed.
  • Processor outputs include provenance columns such as config hash, chunk, run, period, and creation time.
  • Metadata databases track runs, chunks, config versions, lineage, and aggregate views.
  • Reports expose freshness, approximation/statistical method help, filter coverage, and on-demand query output for inspection.
  • Operations pages show run status and chunk-level detail.

Catalog contract

Workspaces use only the strict catalog-v2 contract. All four catalog files must declare catalog_version: 2; unknown fields, retired aliases, and older catalog versions are rejected. A workspace moving from another system must be authored and validated as catalog v2, then populated from source data.

Decision Rules for Business Changes

Change Business impact
Add a formula metric from existing state Usually no raw replay required
Add a dashboard tile for an existing metric Usually no raw replay required
Add a new processor Future runs populate the new aggregate; historical source replay may be needed
Add a new group-by dimension Raw source replay is usually required
Change outcome definitions Raw source replay is usually required
Remove a dimension from reports Usually safe if no tile depends on it
Change chart presentation settings Affects rendering only, not stored aggregates