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SHEET 01For VP Data & AnalyticsVP-DA

Enable Self-Serve Analytics, Automate Data Quality, Deliver Insights Faster

Deploy AI agents that answer business questions instantly, monitor data pipelines continuously, and generate dashboards automatically. 10x faster insights. 95% data quality automation. 80% self-serve.

  • Self-Serve BI
  • Data Quality
  • Pipeline Monitoring
  • Semantic Layer
  • Governance
10xFaster insight delivery
95%Data quality score
80%Self-serve adoption
<3 wksTo production
SHEET 02Core CapabilitiesCAP-01..03

Enterprise Analytics Automation

Enterprise-grade agents that empower your organization with self-serve BI, automated data quality, and proactive insight delivery.

CAP-01Active

Self-Serve Business Intelligence

Agents answer ad-hoc questions using plain language. No SQL required. Your business teams get answers in seconds, not days.

CAP-02Active

Data Quality Automation

Agents monitor data pipelines, detect anomalies, flag completeness issues, and trigger remediation. Quality is continuous, not periodic.

CAP-03Active

Automated Insight Delivery

Agents generate dashboards, surface trends, and deliver insights proactively. Your stakeholders get what they need before they ask for it.

SHEET 03Data PlatformNL-BI

Natural Language Business Intelligence

Non-technical users ask questions in plain language. Agents translate to SQL, query your data, and deliver results with context. Self-serve analytics at enterprise scale.

AI agents for data & analytics are autonomous systems that connect to your data warehouse, semantic layer, and BI tools. They answer natural-language questions, monitor pipeline health, enforce data quality standards, and deliver insights proactively, enabling 80% of analysis requests to be handled without involving the data team directly.

Sources 12Avg Quality 96.4%Freshness On-Schedule
SourceFreshnessQualityRows/DayLatencyStatus
Salesforce CRM15 min98.2%1.2M/day0.3sHealthy
Snowflake DWReal-time99.1%8.4M/day0.1sHealthy
HubSpot Marketing30 min94.8%420K/day0.4sHealthy
PostgreSQL Ops5 min97.6%2.1M/day0.2sHealthy
Google Analytics1 hr91.2%680K/day0.8sMonitoring
Stripe Billing15 min96.4%340K/day0.3sHealthy

12 Sources 96.4% Avg Quality All Pipelines On-Schedule

SHEET 04Data OperationsQUALITY

Data Quality & Query Performance

Agents continuously monitor data pipelines, schema integrity, and field completeness. Anomalies are detected and escalated instantly, no manual checks needed.

Departments 6Avg Self-Serve 78%Avg Response 1.2s
DepartmentQueries/MoSelf-ServeAvg RespAdoptionStatus
Sales4,82084%0.8sGrowingHealthy
Finance3,64076%1.1sGrowingHealthy
Marketing2,91082%0.9sStableHealthy
Operations2,48071%1.4sGrowingHealthy
HR1,24068%1.8sGrowingMonitoring
Executive89092%0.6sStableHealthy

6 Departments 15,980 Queries/mo 78% Avg Self-Serve

SHEET 05Use CasesVP-DA

Use cases that democratize enterprise data.

From self-serve analytics to automated dashboards: see the AI use cases that put data in every decision.

SHEET 06ReferenceAEO

The term, defined

Definition

Agentic Enterprise Orchestration (AEO)

An AI agent that runs autonomously to answer data questions, maintain data quality, and deliver intelligence across your organization 24/7, with full audit trails, semantic governance, and human-in-the-loop controls. AEO systems for data & analytics enable self-serve BI at enterprise scale without expanding the data team.

SHEET 07Data GovernanceGOVERNED

Every query governed, every pipeline monitored.

Row-level security, semantic versioning, and complete audit trails protect your data at every layer.

Data Intelligence Pipeline · GovernedActive
01Data Sources

Snowflake, PostgreSQL, APIs, SaaS platforms

02Semantic Layer

Unified metrics, dimensions, joins, definitions

03Data Governance

Row-level security, lineage, audit, quality rules

04Intelligence Engine

NL query, dashboard gen, alerting, scheduling

OUT
Analytics Outputs

Dashboards, reports, alerts, embedded insights

Data Quality Controls

  • Schema validation
  • Anomaly detection
  • Completeness checks
  • Drift monitoring

Access Governance

  • Row-level security
  • Column masking
  • Role-based access
  • Audit logging

Semantic Governance

  • Metric definitions
  • Dimension mapping
  • Naming conventions
  • Version control

Pipeline Operations

  • Freshness monitoring
  • Failure alerting
  • Retry policies
  • Lineage tracking
95%Data quality score
1.2sQuery latency
80%Self-serve adoption
AnyData source connected
SHEET 08Data Integration100+ SYSTEMS

Connect to your entire data stack.

Agents integrate natively with your data warehouse, BI tools, ETL pipelines, and semantic layer. Explore all integrations.

Systems AnyCategories 6Sync Bidirectional
CategorySystemsCountSync Mode
Data WarehousesSnowflake, BigQuery, Redshift, Databricks14Bidirectional
BI & VisualizationTableau, Looker, Power BI, Mode16Bidirectional
ETL & PipelinesFivetran, Airbyte, dbt, Apache Airflow18Bidirectional
Data CatalogsAtlan, Alation, DataHub, Collibra10Bidirectional
CollaborationSlack, Microsoft Teams, Notion, Jira12Read + Sync
SaaS & APIsSalesforce, HubSpot, Stripe, Zendesk30+Bidirectional

100+ pre-built connectors for the modern data stack. Open APIs for custom integrations. Explore all integrations →

SHEET 09Sign-offREADY

Ready to Democratize Data?

Let's explore how AI agents can enable self-serve analytics, automate data quality, and deliver insights faster, without expanding your team.

Audience
VP Data & Analytics · Data leaders
Platform
100+ integrations · Governed self-serve BI
Lead time
Data review to production · 3 weeks
Sheet
9 of 9 · VP-DA

10x Faster Insights

Ad-hoc questions go from days to minutes. Business teams get answers instantly.

Learn more

95% Data Quality

Agents monitor pipelines 24/7. Issues detected and escalated automatically.

Explore governance

80% Self-Serve

Analysis requests handled by agents. Your team focuses on strategy.

See the platform