Creating reports is a necessary part of working at almost any company. It allows executives, managers, directors and business owners the ability to gain information from multiple departments and then make effective decisions. It is vital that executives have this information so they can make clear decisions. In this data driven world, it is not…
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The article below will be part one of a two part series discussing how research in the 1960s has brought us to developing complex neural networks that are now capable of analyzing pictures, videos, mp3s and much more. Machine learning and deep learning has required decades of research to get where we are today. From…
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Our data consulting team is partnering with Rescue:Freedom International to help set women and children free from sexual slavery. Our team will be throwing a dinner at the lovely Marian Built Loft in Seattle, WA. Erik Jackson, Head Chef at Vendemmia and founder of Rough Draft. There will be great food and amazing company! We…
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Why Invest In A Data Warehouse We recently had a medium sized company ask us why they might want to build a data warehouse. (If you are curious about what a data warehouse, feel free to read here) They had an operational relational database and a few ideas for products that we found brilliant. We…
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We hope you have enjoyed both previous parts(part 1, part 2) of this intro to data analysis and data science. In the next few sections we will be looking at different data sets, asking questions and posing possible stopping points where you can try to think about what you might do or conclude from the data…
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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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