Getting your data from HubSpot to Mode Analytics 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 HubSpot and Mode Analytics 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.
Panoply’s end to end data management solution comes with HubSpot integration. HubSpot is an inbound marketing software used in content management, SEO, and social media marketing campaigns. Panoply imports all of the HubSpot data directly into your own cloud-based Smart Data Warehouse without requiring an ETL process, giving your analysts a chance to immediately review your marketing data. Marketers can generate custom reports and dashboards from within the platform, and use that information to generate more leads, attract more visitors, and learn more about how to improve conversions. Reduce the time and cost of analyzing your HubSpot inbound marketing data with Panoply.
HubSpot Data Warehousing
HubSpot Business Intelligence
Mode Analytics makes it easy for analysts collaborate and to analyze data in SQL, R, and Python. Mode’s analyst-friendly workflow allows you to query Panoply in SQL then perform complex analytics in R and Python without changing tools. Mode also outputs to Slack for sharing and team collaboration. You can do more faster in Mode with the Panoply one-click integration. The Panoply all-in-one ETL tool expands Mode’s data processing capabilities by uploading data from any source. Panoply saves prep work time because it automatically sorts, processes, and stores all data types in one place. This fully cloud-integrated ETL pipeline continuously streams your latest cleaned data from source to output. So your charts, dashboards, and reports always display the most relevant analytics.
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