With EasyMorph, you can retrieve data from various systems and automate complex data transformations, even if you are not an IT expert. No knowledge of SQL or programming is required — designing is 100% visual. EasyMorph is designed for knowledge workers and data analysts that would like to reduce their dependency on corporate IT departments, and spend less time on tedious data-related work.
Many people use Excel and/or scripts for data preparation because they are not aware of better alternatives. EasyMorph is a purpose-built application with more than 100 built-in transforms for fast and visual data preparation and transformation without coding.
With EasyMorph you can walk away from obscure scripts and cumbersome spreadsheets, and bring your productivity to a whole new level.
Retrieve data from databases, spreadsheets, emails and email attachments, text files, remote folders, corporate and cloud applications (e.g. SharePoint), and even web (REST) APIs without programming. Use visual queries and tools to filter and extract exactly the data you need, when you need it.
Data preparation is often only one of many data-related tasks of a knowledge worker. Other tasks may include, for instance, file manipulations (e.g. renaming, unzipping), conversion from one file format to another, data quality monitoring, or sending out reports.
EasyMorph automates your tedious daily routines, so you can focus more on doing interesting data analysis and exploration.
EasyMorph is a smarter way of having the job done in many cases. Pick what describes you best:
Your data tools
Besides the desktop application, EasyMorph also comes in a server variant. EasyMorph Server automates data collection, preparation, and routine tasks of analytical teams with limited or no IT support. It also facilitates data sharing and exchange between teammates and external parties. The Server is easy to install, configure, and use. Its typical use cases include:
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. Schedule a full demo with us.