What is Data Wrangling?

Data wrangling is the process of collecting, modelling, cleaning, validating and transforming raw data into a high-quality, structured data for better decision making in less time.

More than 80% of Data Scientists spent their valuable time in finding, cleaning and preparing data using traditional tools like Excel and also by using scripts/macros. When it comes to huge volume of data there is additional overheads.

We have our proprietary tools which will help you to overcome this problem. Our end to end data cleansing services will help you with cleansed data which will save time, effort, and also cost, thus you can only concentrate on generating business insights to meet business goals.

Remove dirty or inaccurate data to improve operational efficiency. The steps to Data Wrangling are as follows.

Multiple data sources

Import from a variety of data sources, including files, REST APIs, cloud storage services, databases, and FTP servers.

Improve data quality

Find and fix data quality issues like duplicate records, and invalid or missing data, and improve your data quality.