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…
Read more
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…
Read more
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…
Read more
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…
Read more
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…
Read more
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…
Read more
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…
Read more
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,…
Read more
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?”…
Read more
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…
Read more