Getting your data from Bing Ads to Birst 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 Bing Ads and Birst 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.
Bing Ads is the platform used to manage PPC ads on Bing search engines and their partner networks. Panoply’s Bing Ads integration moves your data into your very own Panoply Smart Data Warehouse, where machine learning and Natural Language processing eliminate the need to maintain any ETL process. Panoply makes it possible to combine, connect, store, and analyze your Bing Ads with any of your other data sources. With its end to end data management capabilities, your marketers and data analysts can immediately begin discovering how to optimize PPC campaigns, identify successful keywords, assess demographics, and more through reports, queries, and dashboards within the Panoply platform.
Learn more:
Documentation
Bing Ads Data Warehousing
Bing Ads Business Intelligence
With Birst’s user-friendly BI tools, enterprise users can get analytics on their data with one click. Big data is stored and processed on the cloud and shareable on multiple devices. Even the most complex business processes can be easily programmed into Birst for fast access. This platform’s built-in machine learning-based advanced algorithms and agile architecture meet the growing needs of enterprise business—speed, monetization, security and managed data sharing. Panoply with Birst saves you time and effort by continuously uploading, sorting and simplifying your data. This all-in-one ETL pipeline streams your processed, most relevant data in real time to your storage and output. Panoply is the only fully integrated cloud service that combines an automated ETL with a data warehouse.
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