Data Solutions & AI

Transforming Data into Decisions, and Decisions into Value

At NXT, we go beyond dashboards and databases. Our Data & AI practice is built to help organizations architect data pipelines, govern information flows, and embed intelligence into everyday decision-making. From cloud data platforms to predictive modeling, we engineer solutions that scale, adapt, and deliver real business impact.

Data Strategy & Governance

Laying the foundation for trusted, compliant, and accessible data

We build governance structures that enforce quality, security, and stewardship while enabling innovation and collaboration.

We drive outcomes by

Designing enterprise data strategies aligned to business value and analytics needs
Establishing data ownership, stewardship roles, and data councils
Implementing data policies around classification, retention, and access controls
Aligning governance to frameworks like DAMA-DMBOK, FOIP, and ISO 27001

Modern Data Architecture & Cloud Enablement

Engineering scalable data infrastructure for the cloud era

We design future-proof architecture that supports structured and unstructured data across hybrid and multi-cloud environments.

We drive outcomes by:

Building lakehouse, data mesh, and data fabric architectures
Designing ingestion, storage, processing, and distribution layers
Selecting and integrating tools across Snowflake, BigQuery, Azure, and Databricks
Enabling metadata management, lineage, and observability

Data Engineering & Automation

Orchestrating clean, connected, and continuously available data

Our engineering approach ensures timely, trusted, and automated data delivery across your ecosystem.

We drive outcomes by

Developing ingestion pipelines for batch, stream, and real-time data
Implementing data quality frameworks and monitoring
Automating workflows using Airflow, dbt, Azure Data Factory, and more
Enabling CI/CD for data pipelines and analytics products

Advanced Analytics & Machine Learning

Moving from hindsight to foresight with intelligence built in

We embed statistical and AI models into business processes to drive smarter decisions at scale.

We drive outcomes by

Framing ML use cases that tie directly to business KPIs and ROI
Building supervised, unsupervised, and reinforcement learning models
Using platforms like Vertex AI, Azure ML, and SageMaker
Deploying MLOps pipelines for experimentation and lifecycle governance

Data Visualization & Insight Delivery

Turning complexity into clarity through story-driven dashboards

We deliver interactive BI solutions that align with personas, roles, and business moments.

We drive outcomes by

Designing dashboards in Power BI, Tableau, and Looker tailored to decision workflows
Implementing drill-downs, alerts, and KPIs that surface actionable insights
Embedding governance into report access and visualization layers
Enabling self-service and literacy programs to increase adoption