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Conversionomics lets you collaborate on really complex data processing, without having to make manual changes in the SQL or tables by harnessing the processing power of Google’s BigQuery cloud infrastructure.
You can clean, align, integrate, and transform data by adding calculated fields, SQL expressions, ReGex lookups, and dynamic labels, or modify it with fiscal calendar and filters. Conversionomics saves you the time (and headache) it would cost to manage all that in freeform SQL.
Avoid writing involved concat statements in SQL by using Conversionomics’ Join feature to combine data from all your sources.
Conversionomics enables you to automate the entire process of connecting to sources, importing, and integrating datasets TBs in size. You’re then free to customize how you you approach the data by modifying datasets with lookup tables, loading incremental datasets, or adjusting queries with custom SQL expressions.
When you’re dealing with a lot of data coming from different sources, things often break. Our platform runs a data integrity check to prevent bad data from coming in. We have diagnostic tools, alerts, and easy ways to preview or download your data so you can check for inconsistencies and ensure data integrity.