Photo by Margaret Weir on Unsplash Our team of data engineering and data science consultants has spent a lot of time working with and researching what is often referenced as the modern data stack. Whether we are working with small companies or large companies the modern data stack has tools for everyone. We will be…
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.Photo by Kelly Sikkema on Unsplash As 2020 has comes to a close, we wanted to take a moment to reflect on all the changes in technology as well as look to see where things are going. Whether you are looking at start-ups and their IPOs, improvements in technology or you paid attention to Amazon Re:Invent.…
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Photo by Isaac Smith on Unsplash Analyzing data is a skill required but more than just data analysts and data scientists in 2021. Many roles require some form of data analysis whether it be done in Excel, Jupyter Notebooks, or Tableau. However, data analysis is not generally a course taught in college. It might be…
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Even small companies these days on average have 47.81 terabytes of data that they manage. Regardless if you’re a small company or a trillion-dollar behemoth, data is driving decisions. But as data ecosystems become more complex, having the right tools for the job is important. One modern data management tool that can help manage data at really…
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If you’re a small business or start-up, you’re probably reading articles about companies using data science, data analytics, and machine learning to increase their profits and reduce their costs. In fact, Mckinsey just came out with a study that found that the companies they survey could attribute 20% of their bottom line to AI implementations. All…
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Photo by Stephen Phillips – Hostreviews.co.uk on Unsplash You may have recently invested in Panoply to improve your team’s ability to access data. Panoply’s automated ELT process makes it really easy to integrate data from multiple sources including Salesforce, Workday, Asana, QuickBooks, and so many other tools into your company’s data warehouse. The simple GUI…
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When your team needs to create dashboards and metrics using data from external sources like Salesforce and MySQL, they face a difficult problem. How do they get all their data into one place in order to merge it all together? Traditionally you would need to have a large team of data engineers to connect to…
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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 Lenin Estrada on Unsplash By Christopher Bowers Machine learning and automation are intrinsically intertwined in our world. Without automation, machine learning is reduced to making complex calculations by hand. Current levels of automation have tightened the machine learning life cycle and the integration of models into production. Not only are the tools to…
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