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 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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With success accompanying a growing brand comes the demand for better technological solutions. Businesses today consider full access to specialized support services like cloud computing an integral part of their day to day. Cloud computing permits firms to access to the same computing power that big businesses have. Cloud computing also delivers the perfect fit…
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Photo by Mike Benna on Unsplash One of the main roles of a data engineer can be summed up as getting data from point A to point B. We often need to pull data out of one system and insert it into another. This could be for various purposes. This includes analytics, integrations, and machine learning. But in…
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Photo by Sean Pollock on Unsplash You may think of ATM workings as a revolutionary experience but since the advent of Fintech, the entire financial services domain has entered a new era. Whether you purchase a cup of coffee or manage your finances, fintech is everywhere. From payments via apps such as Payoneer or Paypal to getting reports,…
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As data science consultants. We often get asked, what is your process, define your steps, and or tell us your methodology? Unlike a company data scientist who might get stuck maintaining code. Our clients typically call us in because they want a new algorithm or machine learning system to be integrated into their website or…
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Data Science Consulting Sometimes Predicts Too Well In data science consulting, we enjoy sharing stories of success and failures. It helps us learn, and gain further insight to how to implement data science processes and policies (the hardest part of the job). One such example a data science project that went a little too…
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