Data Wrangling

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.

Data Wrangling process

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:

Identifying inconsistencies
Detecting missing information
Correcting errors
Removing duplicates
Filtering out unwanted values
Harmonizing data structure

As a result, we offer data ready for analysis or consumption.

Benefits of Data Wrangling

After Data Wrangling process, a data set should meet the following three qualities:

Consistency: Data cleaning process involves standardizing values that are referenced differently, eliminating redundant information and unifying data structure. Without this consistency, it is impossible to make comparisons or predictions.
Reliability: Data-driven decision making is not feasible without ensuring data reliability. Data Wrangling improves data verification process by eliminating erroneous values, invalid references, incomplete fields or obsolete information.
Accessibility: Thanks to wrangling process, data is presented in a unified view, which facilitates access to information.

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:

Time saving: Automation streamlines data preparation process.
Better use of human resources: Data Wrangling allows experts to focus on higher-value tasks.
Improving decision-making: Access to more and better information favors the efficiency of the decision-making process.

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.