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Jun 24 2024

Demystifying Advanced Analytics: Which Approach Should Marketers Take?

“Advanced analytics” has been the new buzzword on every organization’s mind for the past several years. Recent advancements in machine learning have promised to optimize every arm of an organization – from marketing and sales to supply-chain operations. For some, investments in advanced analytics have been worth the hype. Those who succeed can gain a […]

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The Role of Citizen Data Scientists vs. Data Scientists in Augmented Analytics

If you are an IT professional, a business manager, or an executive, you have probably been following the progress of the citizen data scientist movement. For a number of years, Gartner and other technology research and analysis firms have predicted and monitored the growth of this phenomenon. In fact, in 2017, Gartner predicted that 40% of data science […]

Managing a Freelance Data Science Team

In this dynamic era, the freelance economy is experiencing an unprecedented boom, significantly reshaping the work landscape. This shift is leading to the increasing prominence of freelance management, which includes sourcing, coordinating, and retaining independent talent in a strategic manner. This article particularly focuses on how to manage a freelance data science team, a trend […]

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Which Data Quality Issues Are Plaguing Data Engineers Today?

We’ve all generally heard that data quality issues can be catastrophic. But what does that look like for data teams, in terms of dollars and cents? And who is responsible for dealing with data quality issues? To get to the bottom of these questions and more, we conducted a survey of 100 survey respondents, at least 63 […]

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Why Geospatial Data Should Be Easily Accessible for Every Employee

Unlocking the power of geospatial data can give organizations a competitive edge, from optimizing supply chain logistics and enhancing customer experience to mitigating fraud and improving public health outcomes. But despite its far-reaching benefits, many organizations fail to fully harness geospatial data’s potential. Why? Because geospatial data is voluminous, complex, and often distributed across multiple […]

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