Data & AI (Analytics + BI + GenAI)
Measurement you trust, automation you can govern
#what do you get
Common data and AI problems we help teams fix
Most organizations don’t have a data problem—they have a definition problem. When measurement isn’t consistent, dashboards drift, and AI workflows amplify messy inputs. We fix foundations first, then enable automation responsibly.
Dashboards don’t match reality
Different reports tell different stories because events, conversions, lifecycle stages, and attribution assumptions aren’t aligned.
Tracking is incomplete or inconsistent
Key events are missing, duplicate, or implemented differently across pages and apps—making optimization and ROI analysis unreliable.
Data flow is messy across systems
CRMs, marketing platforms, and analytics tools don’t agree on source-of-truth—leading to conflicting numbers and manual cleanup.
AI pilots don’t stick
Teams try GenAI, but workflows aren’t integrated, guardrails are missing, and adoption stalls after initial excitement.
Knowledge is scattered
Critical information lives across docs, tickets, and systems—making enablement and support inconsistent and slow.
Governance is unclear
No one owns definitions, QA, or change control—so measurement drifts and AI outputs become harder to trust over time.
How we deliver data and AI at JCG
We build trustworthy measurement and practical AI workflows. That means starting with definitions, ensuring clean data flow, and implementing guardrails so teams can adopt automation safely.
Definitions first
We align teams on what metrics mean—events, conversions, lifecycle stages, attribution—so reporting becomes consistent and actionable.
Measurement that supports decisions
Dashboards and BI should answer business questions, not just show charts. We tie reporting to goals and validate data quality.
Practical AI with guardrails
We focus on adoptable workflows—RAG, knowledge bases, and integrated automation—supported by governance and iteration loops.
Measurement you trust, automation you can govern
AI and analytics only work when foundations are clean: clear definitions, reliable tracking, consistent data flow, and governance that makes outputs trustworthy. We build measurement systems and AI workflows that teams can adopt safely—and improve over time.
Goals, definitions & readiness
We align on goals, success metrics, and definitions (events, conversions, lifecycle, attribution)—then assess data readiness and governance needs.
Measurement foundation (GA4/GTM)
We implement tracking strategy, event design, and conversion logic so measurement is consistent across journeys and channels.
Dashboards, BI & visibility
We build reporting that answers real questions—dashboards tied to definitions, funnel reporting, and QA so teams trust what they see.
AI use cases + workflow integration
We identify practical AI use cases and integrate them into workflows (content, ops, support, enablement) with governance and adoption in mind.
Guardrails, QA & iteration
We establish responsible AI guardrails, monitoring, and iteration loops—so workflows improve and risk stays controlled.
What you'll walk away with
A practical data + AI foundation—clean measurement, dashboards that connect to goals, and AI workflows with guardrails your team can adopt safely.
Tracking Strategy (GA4/GTM)
A tracking plan that aligns events, conversions, and user journeys—implemented consistently across web experiences.
Event & Conversion Design
Clean event taxonomy and conversion logic that supports funnel analysis, attribution, and optimization without ambiguity.
Dashboarding & BI
Dashboards tied to definitions and goals—designed for leadership clarity and team-level execution.
Data Definitions & Governance
Shared definitions, ownership, QA checks, and change control so reporting stays trustworthy as systems evolve.
Attribution & Funnel Reporting
Funnel visibility and attribution assumptions that match how your GTM motion actually works—reducing debate and increasing confidence.
RAG & Knowledge Bases
Retrieval-augmented generation setups that make internal knowledge usable—supporting enablement, operations, and faster answers.
Workflow Integration
AI workflows embedded into real tools and processes—so adoption is practical, not experimental.
Responsible AI Guardrails
Governance patterns that reduce risk—access control, content boundaries, evaluation, and usage guidance.
Measurement & Iteration
Feedback loops to track performance, improve outputs, and evolve workflows responsibly over time.
How we back this up with real expertise
We pair real-world experience with formal technical mastery. These certifications validate that expertise and support the solutions we design for our clients.
See Our Certifications
Filter ALL Certifications
Select one or more tags to filter. No selection shows all certifications.
Showing 4 of 19
Post Graduate Program in AI and Machine Learning
Issued: Sep 2025
Credential ID: 161963791
Issuer: Purdue University
Demonstrates advanced training in Python-based data science, machine learning, and natural language processing, with hands-on experience applying AI models to real-world business and analytics use cases.
Verify Credential for Post Graduate Program in AI and Machine LearningGenerative AI for Business Transformation
Issued: Apr 2025
Credential ID: 141186682
Issuer: Purdue University
Demonstrates applied expertise in using generative AI across software, marketing, sales, and R&D to automate workflows, enhance decision-making, and drive scalable business innovation.
Verify Credential for Generative AI for Business Transformation
Salesforce Certified AI Associate
Issued: Nov 2024
Credential ID: 5247282
Issuer: Salesforce
Demonstrates expertise in designing, deploying, and managing Salesforce AI agents, including prompt engineering, data integration, and lifecycle management to drive intelligent, automated business workflows.
Verify Credential for Salesforce Certified AI AssociateSalesforce Certified Agentforce Specialist
Issued: Nov 2024
Credential ID: 5287501
Issuer: Salesforce
Demonstrates expertise in designing, deploying, and managing Salesforce AI agents, including prompt engineering, data integration, and lifecycle management to drive intelligent, automated business workflows.
Verify Credential for Salesforce Certified Agentforce SpecialistHow we work
Built, Not Just Advised
Hands-on implementation across web, RevOps, automation, and AI.
AI with Purpose
Practical AI solutions that automate work, unlock insights, and scale intelligently.
Fractional by Design
Flexible engagement models that adapt as your business grows—no full-time overhead.
Flexible engagements. No long-term commitment.
#related services in
Engineering, Data & AI
Web engineering, integrations, automation, analytics, BI, and practical AI solutions—built for reliability, governance, and measurable outcomes.
Related services
Web Engineering, Forms & Integrations
Ship fast, accessible web experiences with clean forms, dependable integrations, and automation that keeps data consistent across your stack—supported by practical DevOps patterns and maintainable code.
Explore Web Engineering, Forms & Integrations