Getting your data from BigQuery to Count 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 BigQuery and Count 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.
BigQuery allows companies to perform analytics on very large read-only data sets stored within the Google Cloud. Being able to seamlessly access BigQuery data will empower Panoply customers to take this data, combine it with other data sources, and be able to query all the data in one place, which is crucial for data mining. BigQuery’s integration with Panoply lets you not only ingest any data source into one automated cloud data warehouse, but you can also analyze it with any visualization tool you need to get lightning fast insights.
BigQuery Data Warehousing
BigQuery Business Intelligence
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.
Start syncing your data to now. Free 21-Day Proof of Value.
Free 21-Day Proof of Value. No credit card required.