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.
Power Query is a great Excel add-in that you can use for data discovery, combining data coming from multiple sources and reshaping your Ads data. It is an add-in that was introduced in MS Excel 2013 by Microsoft. When you get your data from a file, an external data source, or a data dump/import it comes into MS Excel in a messy and unworkable format. Excel Power Query is a great way to access, clean and transform all that messy data and then display it in a way that MS Excel prefers and can work with. Power Query also allows you to search and discover valuable data across the enterprise or from several public data sources that are available online and from a variety of other data sources.
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.)