Use Improvado’s data transformation tool to perform a variety of tasks, from simple to complex data transformations, based on your business’ needs.
Simply connect Mandrill to Improvado and start building data pipelines faster—no coding required. Anyone familiar with Excel has the skills to build scalable data pipelines in Snowflake.
Take advantage of our Solution Engineering team to help you to automate your entire marketing pipeline.
Our support team is always available to help you along the way. We also have helpful tutorials and templates to assist you.
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.
Set up your data extraction and transformation in Snowflake with the Improvado API, then visualize that data with your favorite BI tools (such as Power BI, Google Data Studio, Tableau, etc.). Improvado is the easiest way to automate powerful data integrations.
Snowflake is a specially designed cloud data platform. It uses AWS/Azure/Google Cloud Platform’s cloud storage for its persistent store and computes instances to know the analytics. Snowflake allows data to be stored quickly and easily. That data can also be accessed and edited by multiple users, as needed. Snowflake supports structured and semi-structured data such as JSON, Avro, ORC, Parquet, and XML data. It provides a particular column type, variant, which allows you to store semi-structured data. Snowflake has excellent support for ANSI SQL and supports advanced SQL functionality like merge, lateral view, statistical functions, and many more.