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Business Intelligence dashboards are becoming more and more prevalent in businesses. Building an effective dashboard following best-practices leads down a comprehensive BI process. In this post, we will try to cover 4 of the most important things to keep in mind when assembling your dashboard. Good dashboard design simplifies large amounts of data to answer important questions raised by the business. In order to answer these questions, the dashboard needs to tell a clear and defined story while expressing the meaning of the data in clear visualizations, allowing the viewer to dig into the details if necessary. Bad Example A quick Google search and we have found a plethora of terribly designed dashboards. Here is one example: Terrible dashboard design There is simply too much going on in such a small place, all at once. It is cluttered, and distracting. How to Create Beuautiful Dashboards? So how can you avoid…

With the rise of cloud computing and big data, columnar databases have increased in popularity. One of the main reasons for its rise in popularity is due to its efficiency for analytical queries and therefore business intelligence tools. This post aims to identify the key differences between these two database types and point you in the right direction for your future data warehouse.

Pandas is one of the most widely used Python libraries in data science and analytics. Pandas is a large library with immense capabilities. In this introductory blog post to Pandas I will cover the basics of its famous data structure, the DataFrame, and some basic data wrangling techniques.