Practical guides showing how to solve real data infrastructure problems. No theory—just how companies freed their teams from pipeline work, put data where it needs to be, and shipped what actually matters.
The Challenge Your product team wants to test RAG with three different vector databases, compare embedding models, and experiment with chunking strategies. Each variation means filing engineering tickets. Engineering backlogs measure in quarters. By the time you test approach No. 2, your competitor already shipped the winning solution. AI innovation
The Challenge Your data engineering team wants to empower every team with reliable data access, giving them the data they need, when they need it, without friction. Instead, they’re writing custom pipelines for every data request. Sales needs customer data in a new CRM. Marketing wants campaign attribution. Product
Welcome to Data Made Easy. This series explores how forward-thinking teams are solving data challenges and turning complexity into agility. These stories show data doesn’t have to be this hard. The Challenge Your reps are in front of customers ready to close, but the real-time data they need is
