Systems | Development | Analytics | API | Testing

Data has so much promise, but organizations struggle to use it effectively, especially with the increasing complexity of managing large projects and the pressure of incorporating AI. On this episode of The AI Forecast, we’re joined by Simon Asplen-Taylor, the founder and CEO of DataTick and author of “Data and Analytics Strategy for Business”. Simon has spent years counseling organizations on getting their data right. In this episode, Simon shares the common missteps organizations experience with their data – with all roads leading back to data quality and a wild west of data collection across a business.

Documentation on Fundamentals.

How often have you sat in meetings trying to answer seemingly basic questions about your business, only to realize you don't have the data to answer them? Questions like: How many touches does it typically take to close a deal? Which lead sources are actually working? Why are some reps consistently outperforming others? If you've struggled to answer questions like these, you're not alone. I recently sat down with Noah Burkholz, Director of RevOps at demandDrive, to learn how they tackled this exact problem.

This week, we’re excited to introduce Data Flow—a powerful no-code, data flow designer that simplifies data preparation for analytics, predictive modeling, and AI use cases.