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Data & Analytics KPIs

Data and analytics metrics measure the quality and effectiveness of an organization's data infrastructure and the analytics function that depends on it. Data freshness, data quality score, and attribution coverage determine whether business leaders have access to accurate and timely information; dashboard adoption rate measures whether the analytics team's output is actually being used to drive decisions rather than accumulating in unused reporting systems.

all definitions

All Data & Analytics Metrics Definitions (4 KPIs)

Each entry includes formula, platforms, causal drivers, benchmarks, and Q&A.

Data Freshness / Latency
Data Freshness (also called data pipeline latency) measures the elapsed time between when data is generated in a source system and when it is available for analysis in the data warehouse or reporting layer.
Director Analytics CTO VP Engineering COO
Attribution Model Coverage
Attribution Model Coverage measures the percentage of conversions or revenue events for which the analytics system can attribute credit to specific marketing touchpoints, channels, or campaigns.
Director Analytics CMO VP Marketing
Dashboard Adoption Rate
Dashboard Adoption Rate measures the percentage of intended stakeholders who regularly access and use the analytics dashboards and reports built for them.
Director Analytics COO CMO
Data Quality Score
DQS
Data Quality Score is a composite metric that assesses the overall quality of data across dimensions including accuracy (data is correct), completeness (no missing values), consistency (same data across systems), timeliness (data is current), and uniqueness (no duplicate records).
Director Analytics CTO VP Engineering COO
ownership

Roles that own these metrics

See the full KPI guide for each role that works with Data & Analytics Metrics.

Director Analytics Guide → CTO Guide → COO Guide →
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0% of small businesses already use AI-enabled tools U.S. Chamber of Commerce, 2024
0% projected annual growth of the AI market through 2030 Grand View Research
0× more likely to win customers when decisions are data-driven McKinsey Global Institute
$0T AI's projected boost to the global economy by 2030 PwC
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