Coffee Production Visualization Through The Years
Like most offices, we are coffee-fueled here at DataHero. Thus, when I came across some data on coffee production, I had to look into it a little more. Contributing so far only to the demand on coffee production, researching coffee distribution yielded many new perspectives and considerations. Factors like weather (Brazil’s drought could drive up coffee prices in 2014), different regions, different types of beans, etc. all play important roles in driving supply, and thus price, in coffee. Read on to find some of the interesting trends we found in coffee production.
< Read More >Estimating Customer Churn in DataHero
Customer churn is a metric that essentially tells you how many of your customers are satisfied enough with your product to continue paying for it. It’s an important metric to monitor the health of your overall business model and aid in predictions about future revenue. Unfortunately, this number can be measured in a number of different ways and many online payment platforms don’t make it very easy to calculate.
Connecting Your Database to DataHero Using Dropbox
Many of our users request that DataHero connect directly with their individual databases, so they can run custom SQL queries and analyze internal data in DataHero. In this post, we’ll outline a solution where you can continually replace the entire file from your database using Dropbox so that the file and charts stay current with your own database statistics.
< Read More >Using Google Spreadsheets To Connect Your Database and DataHero
One of the most common questions we hear at DataHero is “Can I connect my organization’s database to DataHero?” After all, we know some of the most important data in your organization usually lies in your own internal databases and is most likely the cornerstone of your business. Using Google Drive as an intermediary between your database and DataHero is a perfect way to analyze your internal data, keep it updated, and simply append new data with each SQL query. In this post, I’ll show you step by step how to directly analyze the data in your database using DataHero.
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