Iris DataLab by Grao Inteligencia — Analytics Implementation Service on SAS Viya

Iris DataLab by Grao Inteligencia — Analytics Implementation Service on SAS Viya Grao Inteligencia is a boutique management, technology, and analytics consultancy with over a decade of experience transforming complex business challenges into data-driven decisions. A SAS partner for nearly 10 years, we combine deep expertise in SAS Viya on Azure with hands-on delivery across retail, consumer goods, banking, insurance, telecom, utilities, mining, and manufacturing sectors in Latin America, serving more than 60 clients since 2012.

What is the Iris DataLab? The Iris DataLab is Grao Inteligencia's analytics center of excellence — a modular, governed, and reusable development environment built on SAS Viya on Azure. It provides a secure, structured environment where data flows through automated pipelines of collection, preparation, and quality assurance, enabling modeling, insight generation, and business activation. Unlike isolated projects, the DataLab establishes reusable components and engineering best practices — from simple dashboards to complex ML models — with governance and reproducibility at every stage.

Four delivery stages

1. Discovery: Business challenge assessment, data mapping, and gap analysis. Deliverables: requirements document, solution architecture, prioritized data sources and KPIs.
2. Set Up & Ingestion: SAS Viya on Azure environment configuration, ingestion pipeline automation, data standardization, and governance documentation.
3. Design: Prototyping of analytical solutions, architecture definition, hypothesis testing. Deliverables: functional and technical specifications.
4. Analysis & Outcomes: Advanced modeling, dashboard development, API outputs, and prioritized action plans focused on measurable business value.

Three delivery modalities

1. Consulting Service: Requirements definition methodology aligning technical architecture with strategic objectives.
2. Professional Services: Dedicated team of data scientists, engineers, and business analysts defining architecture, ingestion tooling, governance, and initial models.
3. Managed Services: Infrastructure contracted directly by the client; Grao Inteligencia specifies requirements and supports vendor selection and operational readiness.

Use cases Revenue recovery and collection optimization; risk, fraud, and propensity modeling; customer segmentation; scenario simulation; automated recommendations; and customer journey orchestration. Delivered engagements in the utilities and financial sectors have produced predictive models with over 80% accuracy in recovery propensity and identified significant incremental revenue through analytical segmentation.

Why Grao Inteligencia End-to-end delivery, boutique dedication, and SAS expertise combined. Engagements available under fixed-scope, time-and-material, or outsourcing allocation models, including hybrid arrangements.

Target customers: Organizations in data-intensive industries seeking to build or accelerate internal analytics capability, reduce time-to-insight, and operationalize predictive models without building full internal data science infrastructure from scratch.