DATA & BI DEMOS

Better demos forData and analytics teams.

Analytics buyers want self-service without losing trust, security or common definitions. A dashboard can look impressive in five minutes, but the real questions are where the data comes from, who can see it, how often it refreshes and whether the same metric means the same thing across teams.

1,000+software demos reviewed
500+sellers trained
15+years in B2B software sales
I work with Data and analytics teamsMax Lüpertz pointing — demo training for Data and analytics teams
01 / Buyer reality

What makes Data and analytics buyers different

Business users want answers quickly. Data teams want governance, performance and maintainable models. Security teams want clear access rules.

Self-service vs

governance: Business users want freedom, while data teams need common models, definitions and controlled access.

Source connectivity matters

Cloud databases, SaaS tools and on-premise systems may all feed the same report with different refresh patterns.

Security can be data-specific

Two people can open the same report but need to see different rows, entities or regions.

Performance changes with scale

A report that is fast on sample data may behave very differently on large models, live queries or complex security rules.

More than skills.

Demo Ramp is a complete toolkit built around three areas with ongoing guidance and coaching for long-lasting, behavioral and organisational change.

Skills

Improve your teams communication, presentation and soft skills.


  • Storytelling
  • Discovery
  • Audience Engagement
  • Objection Handling
  • Managing Questions
  • Confidence in Demos
  • Demo Language
  • How to Establish Trust
Learn more

Process & Governance

Build repeatable processes and clear governance around demos.


  • Entry & Exit Criteria
  • AE/SE Positioning Canvas
  • AE/SE Alignment
  • Handoff to Sales
  • Feedback Loops
  • Demo Standards
Learn more

Checklists, Frameworks & Templates

Practical, ready-to-use tools ypur team can apply in their very next demo.


  • Objection Handling
  • Bad & Better Demo Questions
  • Demo Language
  • Useful Prompts
  • MEDDICC for Solution Engineers
  • Demo Planning Template
  • Post-Demo Feedback Template
Learn more
Ready to build skills, systems and habits?Book a Call with Max
02 / Demo challenges

Where Data and analytics demos usually go wrong

Where data and BI demos usually go wrong. Here are the patterns that come up again and again.

Main challenge

Polished dashboards without trusted data

Showing a beautiful dashboard built on a clean sample dataset without showing how the buyer gets from raw data to a trusted answer.

Ignoring metric definitions

Revenue, active customer or margin can mean different things in different teams unless the model makes the definition clear.

Skipping row-level or object-level security

Buyers need to know what a manager in Germany sees compared with a global admin.

Claiming fast performance on a tiny model

Buyers care about refresh time, query speed, concurrency and what happens with live connections.

Hand-waving data refresh and gateways

A report is only useful if the data arrives reliably from the systems the customer actually has.

03 / What buyers need to see

Your demo has to prove the right things.

Not every workflow deserves equal time. These are the things that matter most to Data and analytics buyers.

Start with a real source, build

Start with a real source, build or use the model, and end with the answer the business user needs.

Show how a shared metric is

Show how a shared metric is defined once and reused across reports or teams.

Switch users or roles and show

Switch users or roles and show how the same content changes with access rights.

Explain refresh, gateways, live connections and

Explain refresh, gateways, live connections and what happens when a source is unavailable.

Show the effect of scale with

Show the effect of scale with a realistic data volume, complex filter or query, not only a perfect sample dataset.

Getting started
is simple.

We’ll first grab a coffee, virtually or in person if you’re in Cologne, and talk about your team, your demos and where things could be better. If it makes sense, send me a few demo recordings — I’ll review them and share initial feedback at no cost. From there we decide together what’s most useful next.

1

Free discovery call

We get to know each other. You share a bit about your team, your demos and the challenges you’re seeing. You also get a feel for how I work.

2

Demo review

You send me 3–5 demo recordings or transcripts. Within three days, you get clear feedback on what’s already working, where the biggest gaps are and what I’d focus on first. NDA? Absolutely.

3

Build the workshop

We use the review to shape the workshop around what your team actually needs. No generic agenda, just the topics that will make the biggest difference.

4

Choose what’s next

You decide how far you want to go. Stop after the workshop, add a sales session, continue with self-paced learning, or keep improving through quarterly reviews and coaching.

04 / Proof

Relevant experience in Data and analytics

Data teams will challenge connectors, lineage, semantic models, refresh, performance and security. Those questions are important, but the demo should first anchor on the business question the data needs to answer.

The demos that win are the ones that make the buyer’s real problem obvious first, and only then go deep into the detail.
Max LüpertzFounder, Presales Rockstars
1,000+demos reviewed
500+sellers trained
15+years in B2B software
Great Demo!certified coach
Want to make your data demos easier to trust?Let’s make sure your demo shows how data becomes a reliable answer, not only how good the final dashboard looks.