Working with data
Preparing, analyzing, and visualizing data so it supports a decision.
02 · Data & Technology Training
Practical training in data, modeling, and AI-enabled workflows.
We develop and deliver practical training built around three recurring themes: data analysis, decision-support modeling, and AI-enabled workflows. Clear assumptions, model validation, and human review run through all of it.
Scope
What this covers.
Who it is for: Operations and administrative staff, analysts, and teams adopting new data, AI, or software tools.
Training areas
- Data analysis, visualization, and interpretation
- Analytical and decision-support modeling
- Model assumptions, validation, and human review
- AI-assisted workflows and responsible use of generative AI
- Spreadsheet, database, and reporting workflows
- Business software and digital tools
Delivery
- Instructor-led workshops
- Role-based learning sessions
- Hands-on exercises using realistic examples
- Remote or on-site delivery
- Customized organizational programs
Example program topics
Built around the work your team actually does.
Topics are selected and adapted for each organization.
Decision-support models
Building transparent models with stated assumptions that teams can review, update, and trust.
Validating models and outputs
Testing assumptions, checking results, and keeping a person accountable for every decision.
AI-enabled workflows
Using AI tools to draft, analyze, and automate, with human review built in.
Responsible use of generative AI
Protecting sensitive data, verifying outputs, and setting sensible boundaries.
How an engagement works
Clear steps from scope to handoff.
- 01
Understand the team
Review participant roles, tools, and the decisions the training should support.
- 02
Design the program
Set learning objectives, exercises, and examples drawn from your context.
- 03
Deliver the sessions
Run hands-on workshops remotely or on-site.
- 04
Reinforce the skills
Provide materials and templates participants keep using after training.
Can training use our own tools and examples?
Yes. Programs are built around the tools your team uses and examples drawn from your work.
Do you cover generative AI?
Yes, with a practical focus: where AI helps, how to verify its output, and how to keep sensitive information protected.
Start with the outcome