The rise in self-service analytics is a significant selling point for data warehousing, automatic data integrations, and drag and drop dashboards. In fact, in 2020, the largest software IPO this year was a data warehousing company called Snowflake. The question is how do you get your data from external application data sources into a data…
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Photo by SpaceX on Unsplash Companies of all sizes are looking into implementing data science and machine learning into their products, strategies, and reporting. However, as companies start managing data science teams, they quickly realize there are a lot of challenges and inefficiencies that said teams face. Although it has been nearly a decade since…
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Photo by Eric Krull on Unsplash. Parsing and processing documents can provide a lot of value for almost every department in a company. This is one of the many use cases where natural language processing (or NLP) can come in handy. NLP is not just for chatbots and Gmail predicting what you are going to write in your…
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Photo by Yancy Min on Unsplash In this tech-centric era, companies aim to extract maximum business value from their data in order to stay relevant and efficient via data-driven business decisions. In order to do so, they rely on Artificial Intelligence and Machine Learning. In fact, research shows that artificial intelligence can increase business productivity by 40%! Therefore, it…
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Photo by Caspar Camille Rubin on Unsplash SQL remains the language for data. Developed back in the 1970s, it is one of the few technologies that has remained constant. Regardless of what drag and drop tools come around or what new query paradigms try to overtake it. SQL remains the most widely used technologies to interact with data.…
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Photo by Mr Cup / Fabien Barral on Unsplash SQL is one of the most in-demand technical skills in the workplace today. Developed back in the 1970s, it is still the way we interface most of our data systems today. Regardless of what drag and drop tools come around or what new query paradigms try…
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Ready to unlock your company’s potential using data? Data automation and visualization is your answer. And here at the Seattle Data Guy, we’ve got you covered. Companies from Seattle to New York trust us with their data science solutions. Why’s that? The short answer: while many companies have been leveraging data science and…
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Photo by Sean Pollock on Unsplash Banks from Seattle to New York trust us with their data science solutions. Why’s that? The short answer: while the finance industry has been leveraging data science and statistics for decades, times are changing. Data science and financial strategy are evolving. This means teams need to stay current in order to maximize…
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Photo by ZACHARY STAINES on Unsplash Performing ad hoc analysis is a daily part of life for most data scientists and analysts on operations teams. They are often held back by not having direct and immediate access to their data because the data might not be in a data warehouse or it might be stored across…
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Whether a new data science team or an experienced one. We have created a top 31 list of points to help ensure your team succeeds on its projects and processes it puts in place. As data scientists we want to spend more of our time analyzing problems and less time dealing with corporate politics. How…
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