With EasyMorph business users and data experts automate complex data transformations and routine or repetitive tasks. No knowledge of SQL or programming is required — designing is 100% visual. EasyMorph is optimized for non-technical users that would like to reduce their dependency on corporate IT departments, and spend less time on tedious data-related tasks.
Data transformation isn't easy. One of its main challenges is having a clear understanding of the transformation logic because it's highly prone to human errors and data quality issues. We walked away from the traditional approach to designing transformations in order to bring more clarity into calculations, and make authoring simpler:
Here is what it looks like (looped 2-minute animation):
EasyMorph serves a broader purpose than just data transformation — it does data-aware automation. Frequently, tasks such as file transfer or data retrieval are automated using scripts (.bat files, PowerShell, VBA, etc.). However, arranging a rule-based workflow that behaves differently depending on a calculation can be problematic with scripts. What if hundreds of CSV files need to be moved into different folders depending on column "Region" in them, one region into one folder? Or an email notification should be sent automatically if a key region is missing, or sales are below average? Powerful transformations, workflow actions, scheduling in EasyMorph make data-aware automation a breeze.
EasyMorph can be used with any Business Intelligence or data visualization tool. It works particularly well with Tableau dashboards, Qlik apps and Excel spreadsheets.
Tableau users design complex transformations without help of IT staff, publish data sources to Tableau Server, generate TDEs.
EasyMorph adds automation capabilities to Qlik Sense, lets users replace scripting with visual transformations.
Excel users design error-proof data transformation processes visually, instead of writing VBA macros.
A 3-minute overview and demo of EasyMorph that shows querying a database, applying transformations, using expressions and, finally, exporting results back into the database.