We have a lot of experience in data management and data analytics. One of the hardest and tedious tasks with working with data is transferring data properly and complete. That is why we started developing SQL DataTool.
Errors are breaking your work
We work with different kinds of databases, however our main environment is MS SQL server. Some interesting functionalities exist within the main MS SQL server tools (e.g. SQL server management studio). However, it does not completely fits our purpose.
When working with large datasets, delivered to you in a text or comma separated file format, chances are that you run into issues. Issues that makes your import break.
We developed SQL DataTool to solve the case of MS SQL imports break because of unexpected data or separators.
Rework is time consuming
Our experience is that data analytics is repetitive, meaning that good analysis are requested time and time again. When you have to set the import parameters right every time, it might get anoing. But at least it is time consuming.
We developed SQL DataTool to make the rework of importing of importing data less time consuming.
Different filetypes are delivered
We experience that data is delivered in different formats from time to time. Sometimes it is delivered in spreadsheets, other times it is delivered to us in plain text. However, in the end, we want the data in the same format in the database.
We developed SQL DataTool to be able to handle multiple file formats.
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