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Data cleansing, also known as data cleaning or scrubbing, identifies and fixes errors, duplicates, and irrelevant data from a raw dataset.
What Is Data Cleansing?
Data cleansing, also known as data cleaning or scrubbing, identifies and fixes errors, duplicates, and irrelevant
data from a raw dataset. Part of the data preparation process, data
cleansing allows for accurate, defensible data that generates reliable visualizations, models, and business
Why Is Data Cleansing Important?
Analyses and algorithms are only as good as the data they’re based on. On average, organizations believe that nearly 30% of their data is inaccurate. This dirty data costs companies 12% of their overall revenue —
and they’re losing more than just money. Cleansing produces consistent, structured, accurate data, which allows for
informed, intelligent decisions. It also highlights areas for improvement in upstream data entry and storage
environments, saving time and money now and in the future.
The Data Cleansing Process
Data cleansing is an essential step to any analytics process and typically involves six steps.
The Future of Data Cleansing
Data cleansing is essential to valid, powerful analysis, yet for many companies it’s a manual, siloed process that
wastes time and resources. Analytics automation allows for repeatable, scalable, accessible data
cleansing and enables:
- The democratization of data and analytics
- The automation of business processes
- The upskilling of people for quick wins and transformative outcomes
Data cleansing is the foundation of analytics automation, and with that strong foundation, companies
have a clear path to deeper analysis with data science and machine learning.
Getting Started With Data Cleansing
Manual data cleansing is tedious, error-prone, and time-consuming. With its suite of easy-to-use automation building
blocks, Alteryx analytics automation empowers organizations to identify and clean dirty data in a variety of
ways — without code. The end-to-end analytics platform is designed with the significance and specifications of
data exploration in mind and on the understanding that clean data leads to good analysis. The Alteryx Platform
creates a fast, repeatable, and auditable process that can be built once and automated forever.