Frequently Asked Questions

Everything you need to know about working with Wisabi Analytics.

General

What makes Wisabi different from other consultancies?

We focus on speed and outcomes. Most consultancies bill by the hour and drag projects out. We deliver production-ready systems in weeks, train your team to run them, and measure success by what changes in your business, not lines of code.

Do you work with startups or just enterprises?

Both. We've worked with Fortune 500 companies and early-stage startups. What matters is that you're serious about using data and AI to drive business outcomes.

Are you remote-friendly?

Yes. We're based in Leeds, UK, but work remotely with clients across Europe and beyond. We use Slack, Zoom, and async documentation to stay aligned.

Services & Pricing

How much do your services cost?

It depends on scope. Projects range from quick 1-2 week audits to multi-month platform builds. We tailor pricing to your needs and budget. Book a consultation for a custom quote.

Do you offer ongoing support after delivery?

Yes. We offer flexible support packages; from ad-hoc consulting to retainer arrangements. Many clients start with a project, then keep us on retainer for ongoing optimization and new features.

Can we start small and scale up?

Absolutely. Many clients start with a 1-2 week discovery or POC, then expand to full platform builds once they see results.

Process & Timeline

How fast can you start?

Usually within 1-2 weeks of signing a contract. We keep a flexible pipeline so we can move quickly for the right projects.

What's your typical project timeline?

It varies by service. Data platforms: 4-12 weeks. Automation: 2-6 weeks. AI products: 4-10 weeks. Training: 6-12 weeks. We prioritize shipping working systems fast.

How involved do we need to be?

We need access to stakeholders for weekly demos and decision-making. Beyond that, you can be as hands-on or hands-off as you prefer.

Technology

What tech stack do you use?

We specialize in modern, cloud-native tools: Snowflake, BigQuery, dbt, Airflow, Dagster, AWS, GCP, GPT-4, Claude, and more. We choose based on your needs, not vendor relationships.

Can you work with our existing tools?

Yes. We integrate with whatever you're already using. If a migration makes sense, we'll recommend it—but we don't force change for change's sake.

Do you provide training on the tools you build?

Always. Every project includes documentation and knowledge transfer. We also offer dedicated training programs if your team needs deeper upskilling.

Still have questions?

Book a free consultation and we'll answer everything. No obligation, just a friendly conversation.

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