Getting your data from Intercom to SeekWell 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 SeekWell 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.
Learn more:
Intercom Data Warehousing
Intercom Business Intelligence
The SeekWell analytics developer platform features a SQL editor and creates automated dashboards in Google Sheets. With its Seek Assistant tool, programmers can write code faster with AI and natural language processing. SeekWell has a shareable code repository, so you can access and reuse stored code and establish consistent programming metrics for your team. This BI tool offers free and paid versions and in-app support. SeekWell connects to five databases, but you can connect to unlimited data types with the Panoply integration. Panoply’s AI-driven ETL automatically uploads, processes, and stores all kinds of data together in one place. Its secure, enterprise-level data pipeline is the only fully integrated cloud service that combines an automated ETL with a data warehouse.
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