Zebra BI

The most powerful and intuitive #datavisualisation technology for Microsoft's #PowerBI, #Excel, and #PowerPoint!

[Zebra BI @ZebraBI]

What does reporting look like when it just works?

For @Helvetia Switzerland, it stopped looking like report-building at all.

"Now it's instant: there's no time required for building reports anymore. Everything updates automatically, so users just open the dashboard and it's there." — Lari Hrabar, Head of Performance Management, Helvetia Switzerland

That's the shift Finance teams talk about once they've moved past the formatting sprint and into actual analysis.

One report structure, every cost center owner sees what's relevant to them, leadership sees the full picture, no rebuilds at month-end.

Read their success story here: https://t.co/RyeWFDJNXf

Try Zebra BI for free: https://t.co/lVHpX6MAxw

#CustomerWins #PowerBI #ZebraBI #Finance #IBCS

[Zebra BI @ZebraBI]

Our June 4 webinar:

Filter to Novo Nordisk. AI writes the P&L narrative. Seconds.
Filter to Pfizer. Different story. Same seconds.

Live analysis. 100 real companies. Join us!

Free 👉 https://t.co/3t17pQtlxf

#PowerBI #ZebraBI #Webinar #DataAnalytics

[Zebra BI @ZebraBI]

You want to see the full variance picture and quickly spot what matters most.

When all variances carry the same visual weight, relevance is harder to judge.

New in Zebra BI Tables and Charts: Conditional Variance with Neutral Color.

You define a tolerance band on any variance column.

All values remain visible.

Larger deviations naturally stand out.

How teams use it:
• Revenue vs. plan
±5% directional band to highlight material wins and misses.

• Inventory changes
1 to 3% symmetrical band to surface the largest movements, whether overstock or shortage.

No DAX.
No extra measures.
Configured directly on the visual.

Update Zebra BI and apply it in your next month‑end report.

#PowerBI #FPandA #ZebraBI

[Zebra BI @ZebraBI]

📖 Read the full case study: https://t.co/RfxxsH1FBV

[Zebra BI @ZebraBI]

Abbott's finance team used to spend days formatting reports that still didn't drive decisions.

Ivana Meier, Senior Financial Analyst, changed that with a gradual rollout of Zebra BI across teams and leadership. The goal wasn't prettier charts. It was a shared reporting language that everyone could act on.

✨Now reports are executive-ready without the formatting struggle.

✨Plan vs. actual views are clear at a glance.

✨Teams comment and align inside the report itself instead of chasing answers over email.

✨And from local teams to global HQ, everyone is looking at the same thing.

Less time on formatting. More time on the decisions that actually move the business.

Try it for free: https://t.co/kN4xR2RPpx

#ZebraBI #PowerBI #FinancialReporting #FPandA #DataVisualization

[Zebra BI @ZebraBI]

What's in the June 4 dataset:

100 companies. 6 industries.
Nike vs Adidas. Tesla vs Toyota.
Pfizer vs Eli Lilly. Walmart vs Amazon.

6 years. 18 KPIs. All public data. All in one report.

Running it live on June 4.

Free 👉 https://t.co/BGCzagoMYN

#ZebraBI #PowerBI #Webinar #DataAnalytics

[Zebra BI @ZebraBI]

Most BI failures don't happen in the data layer.

They happen in the four steps after the dashboard goes live.

Our Head of BI, Tine, calls this the Last Mile framework. Four places where the pipeline from insight to decision can break:

1️⃣ Decision design
Build the report around how decisions actually get made, not around what data you have.
Who decides? On what signal? What's the threshold that triggers action?
If you don't know, your report will answer the wrong question.

2️⃣ Insights and drivers
A variance without context is just a number.
The report needs to show what changed AND why, before anyone has to ask.

3️⃣ Decision framing
Every insight should point to one of four responses: act, adjust, monitor, or escalate.
If the report doesn't frame the decision, the meeting will.
And the meeting will run out of time.

4️⃣ Execution ownership
A decision without an owner is a conversation.
Someone needs to leave the room with their name on it, and a deadline.

Most orgs have the data to do all four.
Very few have reports built to support all four.

Which step is the weakest in your organization right now?

Full breakdown → https://t.co/gSAVygdQc6

#ZebraBI #BusinessIntelligence #LastMileAnalytics #PowerBI

[Zebra BI @ZebraBI]

Watch Robert's chat with us 👉 https://t.co/1HLvU92C8l

[Zebra BI @ZebraBI]

When every patient counts, faster insights aren't just good reporting. They're the point.

Robert Anschütz, Business Excellence Lead at Ipsen and his team, built a single decision layer across the entire company.

Sales, marketing, leadership, every function from intern to C-suite now reads the same data in the same language.

Before, Robert would walk into a marketing meeting and see one dashboard. A leadership meeting, another. Six thousand people, all telling a slightly different story.

Now there's one story. And everyone can read it.

This is what the business intelligence looks like in practice.

👉 Try it yourself for free: https://t.co/w5dlb8VId8

Robert explains how he solved it for Ipsen in a chat with us, link in comments 👇

#ZebraBI #PowerBI #CustomerWins #BusinessIntelligence

[Zebra BI @ZebraBI]

Most finance teams report in a vacuum. No benchmark. No context. Just their own numbers.

We loaded 100 global companies into one Power BI report and we're running it live on June 4. 📊

Nike. Tesla. Pfizer. Walmart. All in the same report.

Free to join 👇
https://t.co/ZoN2MHegLk

[Zebra BI @ZebraBI]

One BI team. 6.5 million customers' worth of data. And a steady stream of small dashboard requests from every department.

That was KPN before they rebuilt the model with Zebra BI.

✅ Business users now build and adjust their own dashboards
✅ IBCS standards keep every report consistent
✅ Interactive board chambers replaced static slides
✅ The BI team is back to strategic work, not formatting requests

A faster, more data-driven KPN. And a self-service model that other enterprises are getting inspiration from.

Read the full story 👉 https://t.co/tZleugIBjp

#CustomerWins #ZebraBI #BusinessIntelligence

[Zebra BI @ZebraBI]

What actually turns data into a decision?

Today, we are at the 50th Congress of Controllers, the conversations will span AI in practice, early crisis detection, and controlling as a true performance driver.

But they all circle back to one core challenge: bridging the gap between insight and action.

📍 Meet Zebra BI in Munich, 27–28 April | The Westin Grand

At our booth, we’ll be talking about the last mile of analytics, where data becomes actionable for leaders.

👋 Who you’ll meet:

✨Dilyana Penchovska, VP of Growth, Zebra AI: Showing what Zebra AI‑generated narratives inside Microsoft Fabric look like in the real world
✨Oliver Dreier, Senior Partner Manager: Practical conversations on partner‑led BI workflows
✨Andreas Roehl, Director of Enterprise Accounts: Connecting enterprise strategy with finance reality

If you’re wrestling with reporting, performance, or decision‑making at scale, stop by.

See you in Munich.

#ZebraBI #ZebraAI #BusinessIntelligence #FinancialReporting

[Zebra BI @ZebraBI]

Your Power BI dashboards tell you what happened.

They don't tell you what to do about it.

That gap is worth $2M to $20M a year, depending on company size.

Tonight, 6 pm CET, we show you how to close it. Live rebuild, real companies, real numbers.

Sign up here: https://t.co/uCBP7WHKCs

#ZebraBI #PowerBI #Webinar

[Zebra BI @ZebraBI]

Most reporting meetings aren't decision meetings. They're number audits with a conference room.

Run this quick check:

- Do you spend more than 50% of the meeting debating whether the numbers are correct?
- Do decisions get made without an assigned owner?
- Do your reports lack variance analysis and driver decomposition?
- Are action items tracked anywhere after the meeting ends?
- Are your reports standardized across teams and regions?

2 or more? The last mile is broken.

Not because your data is bad. Because the report was never designed to drive a decision.

What does a good decision meeting actually look like to you? Tell us in comments below. 👇

#ZebraBI #BusinessIntelligence #PowerBI

[Zebra BI @ZebraBI]

What does a report that drives a decision actually look like?

Come see it built live this April 15th at our monthly Zebra BI + Zebra AI demo.

Bring your hardest question. 45 minutes. Free.

Save your spot: https://t.co/2ddfNrDJ5S

#ZebraBI #LastMileAnalytics #PowerBI #LiveDemo

[Zebra BI @ZebraBI]

Your dashboards are missing the one thing executives actually want.

We asked. They told us.

Comments are the single most important thing they miss in their dashboards.

Not more charts.
Not fancier visuals.
Not AI-generated insights.

Just simple, to-the-point explanations of WHY the numbers look the way they do.

Yet 30% of dashboards have zero comments.

The gap between what leaders need and what analysts deliver is massive.

Close it.

→ We show you three different ways of doing this here: https://t.co/0EQF7CSeoY

#ZebraBI #PowerBI #BusinessIntelligence

[Zebra BI @ZebraBI]

Try our Zebra BI Chart Selector: https://t.co/6RejNkH08K

[Zebra BI @ZebraBI]

Chart selection isn't arbitrary.

Every chart type has specific use cases. Here's how to choose:

Start with the question:

What am I trying to answer?
→ Composition? → Pie/stacked bar
→ Comparison? → Bar/column
→ Trend? → Line
→ Relationship? → Scatter
→ Distribution? → Histogram
→ Variance? → Waterfall/bridge

Consider the data structure:
→ How many data points?
→ How many categories?
→ Time series or snapshot?
→ Hierarchical or flat?

Identify the key insight:
What should the viewer notice first?
→ A single outlier? → Highlight it
→ An overall pattern? → Smooth the noise
→ A specific comparison? → Position them adjacent

Then select the chart type.

Most bad chart choices happen because people skip straight to "what chart looks good?" without answering the first three questions.

Try our Zebra BI Chart Selector. Link in Comments. 👇

#ZebraBI #PowerBI #DataAnalytics

[Zebra BI @ZebraBI]

The last mile isn't one problem. It's four, and if any one breaks the whole pipeline fails.

1. Decision Design: start with how decisions are made, not the data.
2. Insights and Drivers: reports that show variances and drivers, not just numbers.
3. Decision Framing: every insight needs act / adjust / monitor / escalate clarity.
4. Execution Ownership: assign who owns what and by when.

Which one is breaking down in your organization?

Take the last mile quiz here to find out: https://t.co/8GOxJTM2Wo

#ZebraBI #LastMileAnalytics #PowerBI

[Zebra BI @ZebraBI]

Here's how to brand your IBCS reports in Power BI.

Most teams think standardized reporting means generic-looking reports. It doesn't.

In this video, we'll show you how to apply your company's branding to Zebra BI visuals using a simple JSON theme file.

Your colors. Your fonts. Full IBCS compliance. One setup.

Try Zebra BI for Power BI: https://t.co/IBt7RSXWxt

#PowerBI #IBCS #ZebraBI #FinancialReporting