Data transformation is the process of converting data from one table or structure into another table or structure. Normally there is some business logic applied during each transformation that gets the data one step closer to its final result... a valuable business report.
You might want to transform your data for a number of reasons. Generally, businesses want to transform data to make it compatible with other data, move it to another system, join it with other data, add information to enrich your data or aggregate metrics in the data. Having trouble keeping track of all your sales data, marketing data, customer data, web analytics & ecommerce data? Proper Data Preparation & Data Transformation will allow you to perform the analysis you need.
Pano's Transformation Layer acts as a guide through all the fragmented data. Pano can help you with:
Evaluating the profit margin and ROI on the products you’re selling
Attributing media spend back to new customers and sales revenue
Parsing UTM tags and join paid media with web analytics
Analyzing complex data schemas from data pipeline tools
Panoramic allows business teams to apply complex transformations without having to engage their engineering teams and wait for their requests to be prioritized. Our easy-to-use interface allows you to blend fields from multiple datasets into a unified cross platform analysis, without any fear of breaking someone else's report.