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 Kaleidico on Unsplash Companies of all sizes have embraced using data to make decisions. However, according to a 2019 report from Goldman Sachs it’s actually quite difficult for businesses to use data to build a sustainable competitive advantage. Our team has worked with and for companies across industries. We have seen the good, the bad and the…
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Did you know that $28.5 billion were spent on investing in machine learning projects, tools, and employees in 2019? Machine learning has taken over pretty much every industry, owing to the automation and flexibility it is bringing to work. Companies of all sizes are using machine learning tools and cloud services. Services like AWS Comprehend and other similar…
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Photo by Ramón Salinero on Unsplash Data scientists and data analysts are constantly required to answer questions for the business. This could result in a more ad-hoc analysis or some form of model that will be implemented into a company’s workflows. But to perform data science and analytics, teams first need access to quality data…
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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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Python really is everywhere at this point. Although many gatekeepers argue whether a person is really a software developer if they don’t code in a language more difficult than Python, it still is everywhere. It’s used to automate, manage websites, analyze data, and wrangle big data. As data grows, the way we manage it becomes more and…
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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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