End-to-end BI, data and AI delivery.
Elqentra helps organizations move from fragmented reporting to modern, governed analytics. We can lead the full program or plug into the exact part of the lifecycle where you need expertise.
BI Strategy & Architecture
Current-state assessment, platform strategy, reference architecture, governance model, delivery roadmap and modernization planning.
Data Engineering
Source integration, ETL/ELT, pipelines, warehousing, lakehouse patterns, transformations, orchestration and data quality.
Semantic Modeling
Enterprise metrics, star schemas, reusable business logic, calculation frameworks and governed semantic layers.
BI & Dashboard Delivery
Executive dashboards, operational reporting, self-service experiences, UX standards, accessibility and performance optimization.
BI Migration
Legacy inventory, rationalization, target-platform design, redevelopment, reconciliation, cutover and adoption.
QA & UAT
Record-level reconciliation, visual QA, automated test design, performance validation, release checks and defect management.
Governance & Security
RLS, access models, certification, workspace strategy, metadata, lineage, deployment controls and development standards.
Managed BI Services
Production support, incident resolution, enhancements, release management, monitoring and continuous optimization.
AI & Automation
AI agents, copilots, natural-language analytics, workflow automation, knowledge experiences and intelligent exception handling.
Project Teams & Staff Augmentation
Flexible BI, data engineering, architecture, QA and analytics capacity that can integrate with your internal team or own delivery.
Start small. Prove value. Scale with confidence.
Not every engagement needs to begin as a transformation program. These focused assessments create a clear decision, roadmap and next step.
BI Health Check
Performance, model design, duplicated logic, governance, security and user-experience review.
Typical start: focused assessmentMigration Readiness Assessment
Inventory reports, dependencies and business logic; define rationalization and cutover waves.
Typical start: current-state + target planAI Analytics Opportunity Workshop
Identify measurable decision workflows where governed AI can explain, prioritize or automate action.
Typical start: use-case shortlist + pilotData & KPI Governance Sprint
Clarify metric ownership, definitions, lineage, access and semantic-layer priorities.
Typical start: trusted KPI foundationTell us the outcome, stack and timeline.
We’ll shape the delivery model around your environment.