data science

  • November 2, 2021
  • Expeed Software

Storytelling with Data: Using Visualizations to Help Stakeholders Understand Data Findings

The job of the data scientist is to acquire data, clean it, analyze it, make sense of it, and most crucially of all, communicate its meaning to an audience of (usually) non-data scientists. Effective communication is critical in data science. Data scientists are highly-trained, highly-skilled individuals – and they need to be. The language of […]

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  • November 2, 2021
  • Expeed Software

6 Ways Data Science and IT Developers Can Work in Tandem

Data science empowers software engineers and IT developers to extract meaningful insights from the processes and information they encounter during application development. But it also involves communicating the results of data analysis to other stakeholders in a software project – many of whom won’t have the technical level of understanding or expertise of an IT […]

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  • November 2, 2021
  • Expeed Software

The Importance of Defining a Research Goal in a Data Science Project

“Hey! You there – Data Scientist. Tell us something about our data.” In the digital economy, data is the new gold– indeed, there’s a new gold rush – for businesses. However, like gold, data isn’t valuable in its raw state. To obtain value from gold, the raw material first needs to be processed – minted […]

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  • November 2, 2021
  • Expeed Software

Getting Data Science Projects Right: 5 Common Data Mistakes to Avoid

Data. It’s the new oil. The new gold. The new fuel that drives business success. Why? Because today, a successful company has customers at its core – and the more you know about your customers, the better you can understand their needs and evolve your products, services, and marketing strategies to serve them. How do […]

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