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What Is Data Wrangling?

Data wrangling, also known as data mungling, shapes data, found in different formats, restructuring it to provide business value. Companies implement a variety of data systems to guide business decisions and solve problems to optimize a situation. Over time business context evolves, with newer technologies, additional data sources, updated regulations, and different stakeholder requirements. This […]

The Art of Data Extraction

To be a data-driven business, companies need data. A lot of data. They have plenty of data in-house to work with, of course — their customer and sales data, data they get from their subscriptions to third-party data providers, and so on. But what about all that data on the web? Sourcing data from the […]

How Culture, Data, and Skills Serve as Barometers for Organizational Data Science Preparedness

Click to learn more about author Steve MacLauchlan. I’ve had the good fortune over my career of working with many different organizations across many different industries. Often, I’ve been in an advisory role assisting organizations with getting a handle on their data assets and finding value in the insights those assets can provide. When data is […]

Automated Machine Learning: Just How Much?

Click to learn more about author Rosaria Silipo. An interview with three data scientists and guided automation experts There is currently a lot of talk about automated machine learning. There is also a high level of skepticism. I am here with data scientists Paolo Tamagnini, Simon Schmid and Christian Dietz.. to ask a few questions […]