II.
Workflow overview
Reference · liveworkflow:alternative-data-evaluation
Alternative Data Evaluation overview
Evaluates new alternative data sources for investable alpha signal — assessing data vendor delivery reliability and coverage, profiling data quality (missing values, staleness, survivorship bias), performing point-in-time correctness validation to prevent look-ahead bias, running univariate predictive tests against forward returns, estimating incremental information content versus existing factor library, and analyzing regulatory/compliance implications of data usage. Produces data evaluation scorecards with signal strength metrics, cost-benefit analysis, and integration recommendations. Excludes vendor contract negotiation and data infrastructure provisioning.
Attributes
displayName
Alternative Data Evaluation
workflowKind
development
triggerType
on-demand
typicalCadence
per-dataset-evaluation
complexity
cross-team
description
Evaluates new alternative data sources for investable alpha signal —
assessing data vendor delivery reliability and coverage, profiling
data quality (missing values, staleness, survivorship bias), performing
point-in-time correctness validation to prevent look-ahead bias,
running univariate predictive tests against forward returns, estimating
incremental information content versus existing factor library, and
analyzing regulatory/compliance implications of data usage. Produces
data evaluation scorecards with signal strength metrics, cost-benefit
analysis, and integration recommendations. Excludes vendor contract
negotiation and data infrastructure provisioning.
Outgoing edges
applies_to_domain3
- domain:quantitative-finance·DomainQuantitative Finance
- domain:market-data·DomainMarket Data
- domain:data-engineering·DomainData Engineering
involves_role4
- role:quantitative-analyst·RoleQuantitative Analyst
- role:research-analyst·RoleResearch Analyst
- role:data-engineer·RoleData Engineer
- role:compliance-officer·RoleCompliance Officer
performed_by_org_unit2
- org-unit:quant-research·OrgUnitQuant Research
- org-unit:trading-compliance·OrgUnitTrading Compliance
requires_skill_area2
- skill-area:python-data-pipelines·SkillAreaPython Data Pipelines
- skill-area:data-quality·SkillAreaData Quality
triggers_responsibility2
- responsibility:data-quality-monitoring·ResponsibilityData quality monitoring
- responsibility:research-publication·ResponsibilityResearch publication
Incoming edges
None.