Getting your data from Twitter to Plotly can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.
With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both Twitter and Plotly with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.
It’s that simple: Unblock your data with Panoply.
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 e-commerce 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.
Learn more:
Documentation
Twitter Data Warehousing
Twitter Business Intelligence
Plotly provides two paid BI tools to meet the needs of business enterprise and the community. Plotly maintains open source libraries on GitHub for Python, JavaScript and R. Whether you use Plotly’s open source libraries, its paid tools, or both, the Panoply Plotly integrator provides all-in-one ETL to automate the data upload, transform and output process. Panoply extracts all data types to one place, sorts and simplifies, and streams continuously to your Plotly charts and web apps. So the output you see is always based on real-time data.
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