Data scientists spend 80% of their time performing data janitor work. They cannot devote more time to analysis because they are forced to focus on an unpleasant, but essential task: data cleaning. The solution lies in the use of Data Wrangling systems, which automate data preparation process.
Data Wrangling is the process of transforming raw data into information ready for analysis. The value of data is unquestionable. However, one can question how much is incomplete, incorrect or inaccurate data worth. Therefore, Data Wrangling solutions are fundamental tools to turn potential value into actual value.
As the volume of data continues to rise, so do its variety. Most organizations have access to very heterogeneous information. They store structured and unstructured data from different sources. Our Data Wrangling solutions enable companies to clean this data and present it in a unified format.
The process involves the following steps:
As a result, we offer data ready for analysis or consumption.
After Data Wrangling process, a data set should meet the following three qualities:
After Data Wrangling process, a data set should meet three qualities: consistency, reliability and accessibility.
In addition to improving information quality, Data Wrangling solutions also enhance business efficiency:
Data management process does not end with Data Wrangling, but it is an essential step to take advantage of the actual value of the information.