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.
Mode Analytics makes it easy for analysts collaborate and to analyze data in SQL, R, and Python. Mode’s analyst-friendly workflow allows you to query Panoply in SQL then perform complex analytics in R and Python without changing tools. Mode also outputs to Slack for sharing and team collaboration. You can do more faster in Mode with the Panoply one-click integration. The Panoply all-in-one ETL tool expands Mode’s data processing capabilities by uploading data from any source. Panoply saves prep work time because it automatically sorts, processes, and stores all data types in one place. This fully cloud-integrated ETL pipeline continuously streams your latest cleaned data from source to output. So your charts, dashboards, and reports always display the most relevant analytics.