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 Count, users get the power of notebook-centric BI and the flexibility of drag-and-drop query creation designed. This innovative BI platform enables users to build and share “data stories” that combine text, charts, and other content to create rich interactive reports that make both data and insights easy to understand. Count’s notebook interface is designed not only for report building, but also for cleaning data, building internal apps, and producing data dictionaries and other reference materials. Plus, Count is fully GDPR compliant and doesn’t store your data on its servers so your data is secure and you can get started in minutes.