On Twitter’s social media platform, individuals and enterprises share photos and talk about almost anything they want to in 160 characters or less. Posts can include links to items for sale and to ecommerce or other websites. The platform collects data on views, likes, shares, clicks, and overall audience engagement. Sales aren’t the only way that businesses can benefit from their Twitter accounts. Analysis of Twitter engagement data can provide important marketing insights for planning campaigns targeted to specific demographics.
If you collect, process, and analyze Twitter data to grow your business, an enterprise-level ETL + Smart Data Warehouse can make the most of that data while keeping it safe. The one-click Panoply integration connects your Twitter account to a powerful, fast, and secure cloud data pipeline. With Panoply, you can automatically combine all your data sources with your Twitter data and connect to more than 100 BI tools for big-picture analysis.
With the Shiny (R) open source BI tool from RStudio, users can create their own interactive websites and dashboards. Host your Shiny web applications on your own server or on RStudio’s hosting service. With Shiny, anyone who knows R can design their own web apps without having to learn programming or web development.
The Shiny R package is user friendly, but you still need to do ETL (extract, transfer and load) work to process your data. Adding Panoply takes care of all the ETL for you. Panoply manages that entire process automatically. It seamlessly delivers your latest sorted and cleaned data to your Shiny web apps.