Improvado is an ETL platform that extracts data from DataXu, transforms the data, and loads the results to Qlik. Speed up your decision-making process and quickly implement optimizations without spending too much time crunching the data.
Use Improvado’s data transformation tool to perform both simple and complex data transformations to fit your business needs.
Simply connect data warehouse to Improvado and start building data pipelines faster, without any code. Anyone who knows Excel can build scalable data pipelines in data warehouse.
Take advantage of our Solution Engineering team to help you to streamline your entire marketing pipeline.
Connect and manage all your marketing data sources in one platform, both in the cloud or on-premise. Improvado provides a link to more than 200 data sources and connects them with just a few clicks.
Improvado’s approach offers data consolidation on the fly. Combine, map, and normalize data to produce a comprehensive data set surrounding your marketing activities.
Connect multiple data sources and analyze them as if they were a single virtual database. You can use Improvado Smart Data Warehouse or connect your own Google BigQuery, Amazon S3, Amazon Redshift, etc.
You can use it directly with your favorite business intelligence tools, ingest it to econometric models, populate the enterprise data warehouse, manage your processes, or use it together with the Improvado Mapping Tool.
Qlik is a business intelligence platform that provides simple end-to-end data management as well as real-time artificial intelligence analytics. Qlik is great as it has a number of powerful tools for Ads data, such as Qlik Sense and Qlik View. Qlick’s features also include embedded data analytics and developer and high-quality data integration platforms. You can use Qlick to combine all your Marketing data, create custom applications, and share your business insights easily with your different teams on any device.
Set up your data extraction and transformation in your data warehouse with the Improvado API, then visualize that data with your favorite BI tools (such as Power BI, Google Data Studio, Tableau, etc.)