Systems | Development | Analytics | API | Testing

Process Runner GLSU: SAP Finance Automation in Excel

See how Process Runner GLSU eliminates manual SAP data entry and accelerates month-end close. This 90-second demo shows how finance teams automate 40+ SAP FI transactions, process thousands of entries in minutes, and catch errors before they hit the system—all from Excel, no coding required.

Cost to Build a Data Streaming Platform: TCO, Risks, and Alternatives

For many organizations, the decision to adopt a data streaming architecture is a strategic imperative—critical for driving everything from instant personalization to global fraud detection. The question is no longer if they should stream, but how. This leads directly to a critical, often underestimated, financial calculation: the cost to build a data streaming platform (DSP) in-house versus the cost of subscribing to a managed service. Let’s explore key considerations in the "build vs.

Apache Kafka Monitoring Is Costing You More Than You Think

For organizations that rely on Apache Kafka, monitoring capabilities aren’t just a "nice-to-have"—it's a fundamental requirement for reliable performance in production and business continuity. However, the true cost of monitoring Kafka is often misunderstood. It’s not a single line item on a bill but a collection of hidden expenses that silently drain your engineering budget and inflate your total cost of ownership (TCO).

How WEX Built AI-Powered Embedded Analytics in Just 90 Days

This is Part 2 of our WEX series. In this blog, we explore how the company scaled self-service analytics by embedding AI—read Part 1 on their people-first approach. You’ve got AI pressure from every angle: execs, customers, and competitors. But legacy analytics doesn’t just slow down development—it frustrates users and undermines the value your product is supposed to deliver.

Why Apache Iceberg & Open Lakehouse is the Foundation for Data & AI Workloads

In this discussion, Dipankar - Cloudera’s Director of Developer Relations sits with Navita - Director of Product Marketing to unpack why Apache Iceberg has emerged as the foundation of the open lakehouse - and why it’s increasingly essential for modern Data & AI workloads. Dipankar & Navita walks through how Iceberg became the de facto standard among open table formats, what it's design enables (interoperability, engine-agnostic access, reliable metadata), and why openness matters as organizations move toward multi-engine, hybrid data architectures.

How to Coach Sales Reps using Activity, Conversion, and Revenue Data | Data Snacks

In this video, Zorana, Sales Manager at Databox, walks through how she uses a single dashboard to understand sales performance beyond revenue alone. She explains how combining activity metrics, conversion indicators, and revenue outcomes by rep helps her identify who needs coaching, what kind of coaching is required, and where to focus her time each week. You’ll see how trend comparisons highlight improvement or decline early, how gaps between effort and results guide decisions, and how viewing team-wide performance can signal broader process issues.