Close the gap between
Data and Decision.
No one can see the future - but patterns in your data can give you some pretty accurate ideas. By combining AI and machine learning tools with human expertise, you can uncover insights already hidden across your operations and customer interactions, transforming raw data into a renewable source of strategic intelligence.
Data, Analytics & AI
Transform your raw data into actionable insight.
Every day, in every interaction, your organization receives valuable
intel - data about your customers, your competition, your operations, and your opportunities to optimize.
Are you capturing these clues as they happen, or are you piecing them together from disconnected reports and siloed systems after the opportunity has passed?
GTS helps you close the gap between data and decision. By tapping into these existing data streams and surfacing relevant information in real time, we help you transform raw data into personalized, strategic insight for more confident, data-backed decisions.
What We Do
Data & analytics foundations
Unify and model data across systems into one trusted source for reporting and decision-making, built on trusted platforms like Google BigQuery.
Business intelligence & dashboards
Real-time KPIs and self-service views that give leaders and stakeholders a clear picture of performance.
Predictive & decision intelligence
ML models forecast demand, risk, and behavior, so you can make proactive data-backed decisions.
Knowledge & document intelligence
AI that reads, classifies, and extracts insight from knowledge bases and documents, automatically curating and improving your AI solutions and accelerating automated processes.
Applied & generative AI
Custom AI and GenAI solutions such as knowledge search, summarization, and assistants, based in your data and built on the platform you prefer (Google Cloud, AWS, and more).
Our Approach
The KPIs for your KPI measurements
Assess, Define & Design
We align with you on governance, plan, and success measures like KPIs and ROI, then audit data sources and quality. We prioritize the highest-value use cases and approve a technical design before any build begins.
Build
We engineer the data foundation that will support the analytics, models, or AI — validating early with rapid prototypes and demos, selecting the right models and tooling, and instrumenting the measurement framework as we go.
Test & Scale
We continuously validate accuracy and reliability through evaluation, QA, and UAT, then roll the solution into decisions and workflows with the change management and enablement to drive adoption.
Optimize
We review results against the success framework, tune models and curate data from real-world use, and transition to Managed Services & AIOps for long-term improvement.
Industries We Serve
Government
Improve service delivery and make more intelligent resource decisions based on historic operational trends and constituent data.
Finance
Detect risk, forecast performance, and meet reporting demands with built-in analytics designed for a regulated environment.
Retail
Understand and anticipate customer behavior and product demand to proactively improve inventory and pricing and personalize experiences.
Healthcare
Improve outcomes and increase capacity while protecting patient privacy by surfacing anonymized insights from clinical and operational data.
Higher Education
Support student success and better institutional planning with insights derived from enrollment, engagement, and outcomes data.