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.
The QuickSight pay-per-use BI tool makes data analytics accessible to enterprises of all sizes. By using QuickSight’s built-in machine learning, you can create interactive dashboards to share with your teams. It delivers business insights to your apps on any device. This user-friendly analytic platform scales automatically from 10 to 10,000 users. With QuickSight’s APIs, you can embed self-service analytics in your apps and seamlessly authenticate the users who need access. Its SPICE in-memory calculation engine lets thousands of users do complex analytics at the same time, while it protects your source data. QuickSight uploads data from the cloud and on-premises from many third-party data sources, databases, and AWS services. But you can connect QuickSight to any data source with the Panoply integration. The all-in-one Panoply ETL continuously uploads, processes, and streams all your data types. This powerful automated ETL pipeline is fully integrated with a cloud data warehouse.