Data analysis is part of any data scientists daily work (along with data munging and cleansing). It is also very important for a good portion of everyone else in the modern workforce. This could be a systems analysts, business owners, financial teams, and project managers. However, most undergrad courses do not (or at the very…
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If you have worked with financial or accounting data, then you know that a $10 discrepancy today can become a $100,000 tomorrow. An error in a data storage system or business intelligence report might seem small at first. It can be tempting for analysts to ignore it, or fudge the numbers for the month. Maybe…
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Data science and statistics are not magic. They won’t magically fix all of a company’s problems. However, they are useful tools to help companies make more accurate decisions and automate repetitive work and choices that teams need to make. Machine learning and data science get referenced a lot when referring to natural language processing, imaging…
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Data science, Sigma Six, analytics, business intelligence, all are different sides of the same multi-sided polygon. Each have different tools, vocabularies, projects, and certifications. However, they all serve the business to reduce costs and increase revenues. These are practical tools that help businesses be more effective at what they do! And each comes with their…
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Operating a data science team is not something that can just be learned by watching lectures and videos on Coursera and Udemy. Don’t get us wrong, they are great places to learn data science and machine learning theory with practice problems. However, they don’t teach good business practices, and how to operate a data team…
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Our Reason For Data Driven Cultures And Coaching We believe the concept of using data to support hypotheses is not limited to the data scientists. Creating a company culture of data driven experts that care about their customers develops an unstoppable force. Our team of data consultants is not just focused on data science,…
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What Sets Amazon Apart From Other Companies? Amazon is one of the few companies that really understand how to be data driven. If you have ever interviewed with them, you know what we mean. After the programming or analytical questions come the data driven questions. Data Driven Strategy Questions: “Oh you built a reporting site?”…
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Hiring and Interviewing A Data Scientist As with any hiring process. Finding a data scientist that is both a good fit for your company culture and meets the technical requirements of the job specifications is not easy. One of the biggest issues facing most companies today is that data science is still a relativity new…
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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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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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