Zap automates ERP data warehouses, centralizing your business data for trusted reporting and analytics. Get rapid results with low-code, prebuilt data models - backed by thousands of embedded expert hours.
 
Zap powers your go-to tools with an Excel add-in, Power BI integration, and in-browser analytics. Save time, eliminate errors, and trust your numbers.

Zap - Data you can trust. Decisions made simple

## What Power BI and Microsoft Fabric Really Mean for Your ERP

## Why trusted analytics starts with governed data — not another dashboard

Most teams think they’ve modernized because they use Power BI – but governance, not visuals, defines maturity.

Microsoft Fabric makes powerful governance promises, but few have truly tamed the beast. Cost, complexity and time-to-value often leave teams stuck between vision and delivery.

Join Zap CEO Christopher Reeves for a thought-leadership session on how Power BI and Microsoft Fabric are reshaping data trust. See how leading organizations are connecting ERP data into a single, auditable model that ends reconciliation and builds real confidence in every analytic.


Owning the Source of Truth

# Turn your ERP into an early-warning system for inventory risk.

Stockouts kill revenue and damage customer trust. The problem is, most teams only see the issue when it’s too late.

In this session, Rohit Kanwara and David Ramirez will show how to get a single daily snapshot of inventory health - surfacing aging stock, fast movers, and at-risk SKUs. See how to map inventory against incoming orders, layer in supplier delays, and get proactive alerts before fulfillment problems hit.

We’ll also share real examples of how missed signals led to lost revenue, and how you can use Zap to track ATP, reorder signals, and warehouse exceptions - all without spreadsheets or firefighting.

**Key takeaways:**

*   Surface aging stock, fast movers, and at-risk SKUs in one daily view
*   Map inventory to upcoming orders and flag stockout risks
*   Factor in open POs and supplier delays automatically
*   Learn from real-world misses that cost revenue
*   Track ATP, reorder signals, and warehouse exceptions with ZapBI


Preventing Stockouts Before They Happen.

**Focus**

AI is starting to change manufacturing and distribution in real, practical ways — from predictive maintenance and supply chain resilience to quality checks and forecasting.

In this 20-minute session, Zap CEO Christopher Reeves shares highlights from a recent keynote, mixing sharp insight with a touch of wit. He’ll also tie it back to why trusted data is the make-or-break factor for AI — and give a first look at what’s coming next on the Zap roadmap.

**Roles**

CFOs, CIOs, and operational leaders in manufacturing and distribution who want to understand how AI will affect strategy, efficiency, and competitiveness.

**Key Takeaways**

*   A clear view of the AI trends reshaping manufacturing and distribution
*   How predictive models are changing maintenance, supply chains, and forecasting
*   Why hallucinations aren’t going away — and what that means for your data
*   A first look at Zap’s upcoming roadmap


The Coming Impact of AI on Manufacturing and Distribution (EMEA)

## The Daily Executive Ops Dashboard

***

Please join Rohit Kanwara and David Ramirez for this webinar focusing on the Daily Executive Ops Dashboard.

Key takeaways:

*   Build a single screen summary of yesterday's performance
*   Key Metrics: sales vs target, top delayed orders, fill rate %, stockouts, backlog trend
*   Spot what slipped, what surged, and what needs attention before 9AM
*   Bonus: email / Power BI / Excel delivery options for daily adoptions

If you can't make it, don't stress we will send the recordings through.

\*By registering for this webinar, you agree to \*[*Zap's Privacy Policy*](https://www.zapbi.com/terms-and-conditions/privacy-policy)


What Your ERP Should Tell You Every Morning

Power BI dashboards are only as good as the data underneath them. If you’re still reporting directly from your ERP or wrangling spreadsheets at month-end, it’s time to rethink the foundation.

In this 40-minute session, Zap CEO Christopher Reeves shows how to automate a star-schema warehouse from your ERP in days — not months — and how to deliver governed, AI-ready data that works across Power BI and Excel.

**What you’ll see:**

*   Why Power BI needs a warehouse for scale, trust, and performance
*   How Zap models multi-company ERP data with no code
*   A live demo: build, explore, and refresh 5× faster

Watch on demand and see how clean data makes all the difference.


Build Once Trust Everywhere - ERP Data for PowerBI and Excel

Most aging reports are built for compliance — not decision-making. In this session, we show how to transform AP and AR aging from a static snapshot into a strategic asset.

You’ll see what it takes to build a 12-month historical view of aging that gives finance teams clarity across time, flags risk early, and supports faster board prep and audits.

No fluff. No theory. Just practical steps and real examples of how mid-market teams are structuring their data for control, confidence, and credibility.

**Best for: **Finance leaders at mid-market companies ($20M–$100M+ ARR) dealing with audits, multi-entity reporting, or drawn-out close processes.


Speak CFO - The 12-Month AP-AR Aging Report You’ll Actually Use

This 40-minute session, led by Zap CEO Christopher Reeves, explores why the success of any AI strategy hinges on trusted, structured data. With over 20 years of experience in data and a deep, hands-on passion for AI, Chris cuts through the hype to show what’s actually required to unlock business-ready AI.

You’ll learn:

*   The three types of AI use cases in business
*   Why most AI fails (and how to fix that)
*   What “Gell-Mann Amnesia” teaches us about blindly trusting AI outputs
*   The critical role of governance, structure, and context in preparing your data
*   Why data readiness isn't just an IT task — it's a leadership issue

Packed with insights for Finance, IT, and Analytics leaders, this session will help you reduce AI risk, accelerate deployment, and build a smarter path forward — starting with your data.
