FIG. BUSI

SERVICES

Business Intelligence Services

Stage: Services

Turn metrics into management. We build executive-grade BI that aligns with strategy, controls, and decision cadence.

10 min readLast updated: Q3 2026

Key Takeaways

BI / Visualization
Executive KPI Architecture
Assess & Align KPI Governance

§01Technology Stack

BI / Visualization

Power BI Tableau Looker

Data Transformation

dbt

Data Warehousing / Analytics

BigQuery Snowflake Databricks

Data Streaming / Orchestration

Kafka Flink

Semantic Layer

Security / Governance

Row-Level Security Column-Level Security

§02From Dashboards to Decision Rooms

Executive KPI Architecture

Tooling rail: semantic layer • KPI catalogs • dbt metrics Edge: HoloΔense™ “decision rooms” unify metrics + narrative context.

BI Platform Strategy & Standardization

Tooling rail: Power BI/Tableau/Looker • model lifecycle Edge: Adoption playbooks tied to role-based decision rights.

Data Modeling & Performance Tuning

Tooling rail: star/snowflake • aggregations • caching Edge: Cost/performance envelopes documented for finance sign-off.

Data Quality, Lineage & Access Controls

Tooling rail: lineage maps • DQ tests • RLS/CLS Edge: Audit-ready controls aligned to internal policies.

Self-Service Enablement & Guardrails

Tooling rail: governed workspaces • cert tags • content lifecycle Edge: Tiered self-service with break-glass permissions.

Change Management & BI Ops

Tooling rail: release rings • usage telemetry • SLA runbooks Edge: ReinΩlytix™ tracks adoption, decision latency, and value lift.

§03A Blueprint for Scalable Intelligence

Assess & Align KPI Governance

Strategy-linked KPI map in 2–3 weeks

Standardize & Build Semantic

Semantic layer + certified content.

Operationalize & Improve BI Ops

Usage telemetry drives backlog.

§04BI that leaders trust

Executive KPI design & semantic layers
Certified content lifecycle & usage telemetry
Access controls and audit readiness
FinOps-aware performance tuning
Decision rooms with narrative analytics (HoloΔense™)

§05Assurance Strip

Assurance Strip

Lineage: Tracking the origin, transformation, and usage of data and model artifacts for full transparency and auditability
RLS/CLS: Implementing Row-Level Security (RLS) and Column-Level Security (CLS) to control access to sensitive data
FinOps: Applying financial management practices and cost optimization strategies for AI and cloud operations
Audit Trail: Maintaining detailed records of actions, decisions, and data usage for accountability and compliance

Boardroom Kit

KPI Map Template: Framework to define, track, and visualize key performance indicators across AI and business initiatives
BI Governance Policy: Rules and guidelines to ensure business intelligence data is accurate, secure, and used responsibly
Certification SOP: Standard operating procedures for certifying models, datasets, and AI workflows before production deployment
Usage Telemetry Guide: Documentation for monitoring and analyzing system usage, adoption, and operational performance

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