Getting your data from Intercom to KNIME 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 Intercom and KNIME 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.
Intercom is a customer messaging platform for sending both automated and live chat messages directly to the customer. Panoply’s Intercom integration makes it possible to load your data directly into your own data warehouse, without an ETL process in place or costly data infrastructure.
Once stored in the Panoply Smart Data Warehouse, your Intercom data can be extracted, explored, and analyzed with all of your other data sources. Analysts can generate reports from within Panoply, and run queries and analyses immediately. Panoply makes it easy to learn more about your customer communication habits, purchases, and product usage behavior, all from within one end to end data management platform.
Intercom Data Warehousing
Intercom Business Intelligence
KNIME is an open source platform that analyzes and integrates data and designs apps, services and reusable components. Machine learning, AI and predictive modeling are some of the advanced features of this powerful BI tool. With over 2000 modules, you can build your own end-to-end workflow or use one of hundreds of sample workflows to get started fast. Make your KNIME analytics work even faster by adding Panoply with one click. The Panoply KNIME integrator automates all the ETL work for you. It uploads data from any source in minutes, stores it in one place, and then simplifies and sorts the data. The all-in-one Panoply data stack seamlessly updates KNIME output in real time when your source data changes. So your KNIME analysis results are always clean, relevant and up to date.
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