Organizations need to deliberately create data
The metaphor of oil for data is incredibly pervasive. The metaphor infuses a lot of our core data vocabulary – you see it in common terms like “data extraction”, “data mining” and “data pipelines”. The impact of the metaphor becomes particularly clear when we look at how data scientists work. In most organizations today, when […]
Why data contracts are obviously a good idea
Data Contracts have been much discussed in the data community of late. Chad Sanderson posted on them in August 2022, after which debates on the merits of Data Contracts raged across social media, when Benn Stansil waded in September 2022, to concede that the problem they looked to solve was real but to argue that the approach […]
Data discovery: What is it and why is it important?
Every day around the world, leaders rely on immense reams of data, distilled down into a clear, easy-to-understand format, for intelligent insights and analysis that inform a variety of key business decisions. And we are truly in the Golden Age of data. With the rise of artificial intelligence (AI), state-of-the-art data collection and analysis software […]
Improving data discovery with Snowplow: The new Tracking Catalog
Data discovery is a thorny issue. Today’s data platforms involve massive technical complexity, but with this comes the need to ensure everyone in the company can find and understand the data they need. Without this, all you have is a very expensive and complicated silo. Our new Tracking Catalog release is another step on our […]
Why the majority of data projects fail: the case for a Universal Data Language
Let’s say you have to do something really hard. Anything really. In our case, it’s creating a data platform, but it could just as easily be taking a car engine apart or even forensic accounting. The clarity with which you define the moving parts and the way they work together becomes imperative — both for […]
What is a Universal Data Language?
A Universal Data Language (UDL) is a way of describing events and entities in behavioral event data, as well as the relationship between them. It’s similar to the vocabulary and grammar of a language in that common rules are needed to create shared meaning. Interpreting the tangled web of language doesn’t just happen by chance […]
What Is Data Processing?
Data processing is the exercise of collecting data then manipulating and translating it into information that’s accessible and meaningful. The benefit of this process is that it removes unnecessary bureaucracy, reduces clutter, and enhances efficiency when reading information. The processing of data should be conducted by specialists (often Data Scientists) to ensure the data is […]
Future-proofing your organization with a universal data language
In our content series on Treating Data as a Product, we explored the major challenges organizations face when it comes to keeping productivity high. In our conversations with data leaders, we learned that communication – particularly how people interact with each other around data (especially behavioral data, which is rich, voluminous and complex by nature) […]