Learn about the characteristics and the differences between first-party data and zero-party data. — We need to talk about “customer data”, an overused, catch-all term that’s used rather loosely, especially by vendors of data tools when describing their products — it’s tiring and sometimes even frustrating. …

Let’s begin by answering two fundamental questions: Q1. Why does an organization collect data? A1. An organization collects data to enable teams to derive insights that further enable them to make decisions and run experiments to get more people to buy and use their products or services. Q2. Why does…

Spreadsheet, Dashboard, Notebook, Canvas, BYOI — For the last 3 years, I’ve been a keen observer of the data landscape and fortunately, I’ve had the opportunity to learn from many innovative teams who spend their days reimagining how humans work with data, and how data can do more for them. Infrastructure and quality aside, I hope…

Introducing the Data Beats theme song — come, sing along!🎤 The Modern Data Track is heavily inspired by In the End (Linkin Park) and Take A Look Around (Limp Bizkit). It starts with.. Ingestion, from a data source, To a destination, where the data goes. Your website or app is your first-party…

Why B2B SaaS companies must support this data structure — This guide will help you understand account-level data in the context of B2B SaaS and the role of accounts in the customer lifecycle. It will also provide tips to make account-level engagement work. …

SaaS tools built on the data warehouse — also known as connected apps — A warehouse-native app is any SaaS tool that can run on top of a customer’s data warehouse, without the need to ingest and store any data. In other words, a warehouse-native app vendor enables its customers to bring their own data warehouse to the vendor’s application which then performs tasks…

It’s about time — The data landscape has evolved at a tremendous pace since the onset of the pandemic and the unprecedented level of VC-fueled innovation has given rise to a ridiculous number of new data tools. While this surge has been a boon for data practitioners whose workflows have been greatly improved, it…

So hot right now! — The activation layer of the modern data stack is my favorite since it allows you to take action on the data — in the tools you depend on — to build personalized, data-powered experiences. You finally get to go beyond looking at dashboards and utilize data in a meaningful manner…

The finish line is an illusion — A car comprises four essential components — the chassis, the engine, the transmission system, and the body; then there are auxiliary parts without which a car can run, but it’s not practical to drive without indicators or air-conditioning. The modern data stack is not like a car and shouldn’t be…