We started our ChatGPT/LLM integration process with a SQL generator and then followed that up with an insights generator based on specific reports a user pulled in the UI of our platform. Getting these to run well turned out to be a decent amount of work, but each ended up providing something of value. On ..read more

An Introduction to Lidar Data Cleaning   In the last couple of years lidar has become a foundational technology in people measurement. Along with camera and electronics, it’s one of the three basic technologies used to understand what’s happening in a physical space. There are plenty of other options (heat, radar, pressure, beam, etc.), but ..read more

While SQL generation was a good place to with our ChatGPT integration efforts, it was inherently limited as a use-case. Most people who need data have enough familiarity with SQL to get it (and most people who don’t know SQL don’t have much use for the underlying data). A tool that creates SQL is only ..read more

Like everyone managing a BI product, we spent a good chunk of last year working to integrate AI (and specifically ChatGPT) into our product. We worked on three levels: a SQL Generator to give people who need data they can’t get from the platform but aren’t SQL mavens, an Insights Generator to pair with reports ..read more

Like every other technical product-person in the world, when ChatGPT emerged, I was cranking through ideas for how it impacted our product and how it could be used.   ChatGPT was revelatory both inside and outside the AI industry. Outside the industry (where I self-identify), it revealed orders of magnitude improvement in capability over any ..read more

My last post described the concept of a Segment Set – a group of segments that classify all of the visits to a location. These segmentation sets are perfect for broad usage in enterprise reporting. They describe the core types of visits coming to a location, make it easy to see how successful each visit ..read more

Individual segments let you identify, study and use specific behavioral patterns in your customers or users. That’s as true in digital as it is in physical people-measurement. Those segments are a powerful tool for analysts. By creating a segment, you can isolate the behaviors around a single type of visit and track how that type ..read more

Visit-based segmentations bring clarity to KPIs and reporting and help stakeholders think more deeply about the business (which is, after all, the point of analytics). As I mentioned in my last post, the demand for better segmentation has been slow to materialize in people-measurement, lagging far behind digital analytics. Fortunately, that demand is starting to ..read more

The first thing people expect to get from people-measurement isn’t analytics or even testing support. It’s reporting. Before you can figure out how to make things better or whether a change worked, you need to understand how things are. That’s what reporting does. It creates organizational understanding of how a system is working.   How ..read more

Visit segmentation is the single most important technique in both digital analytics and people-measurement. It’s critical to both good reporting and deep analytics and in most behavioral analytic applications, it replaces the use of traditional demographic segmentation. What makes visit segmentation so important in behavioral analytics? At the highest level, visit segmentation matters because it’s ..read more