data cleansing

Jun 112018 Tagged with , , , 0 Responses

Google OpenRefine : Opensource and Free Tool to Work With Messy Data

open refineIn all the data intensive fields like retail, banking, telecom, insurance etc. managing data without any error is a challenging task. Data cleaning thus becomes vital in modifying or removing data in a database that may be duplicated, incomplete, incorrect or poorly formatted. Every data wrangler wants to cleanup and transform the data into other formats in a quick manner and practicing a lot to refine and analyse the raw data. This practice is widely referred as Data Wrangling, sometimes referred as data munging or data cleansing.

Data quality is an important aspect in the overall success of decision making. Inaccurate data leads to wrong assumptions and analysis. Consequently it leads to failure of the campaign or project. Redundant data can cause various problems like slow load ups, increases inconsistency and decreases efficiency. A good data cleaning tool solves these problems and cleans your database of redundant data, incorrect information and bad entries. Read More…