What is Data Wrangling?

Data wrangling, often referred to as data cleaning, data cleansing, data remediation, data munging — or even data janitor work, is the first important step in understanding and operationalizing data insights. The process includes connecting to data sources, reformatting the information so it’s consistent, removing duplicates, merging disparate sources, and filtering out unneeded “noise” in large datasets.

Data analytics teams often spend 50-80% of their time working on the mundane tasks involved in wrangling data and making it clean and ready to use in machine learning workflows, report generation, and related processes.

Guide to Self-Service Data Preparation

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Efficient Data Wrangling is Critical

Given the time needed to acquire, clean, and organize data and how critical it is to almost every data analytics project, implementing tools that increase the data wrangling team’s effectiveness pays immense dividends.

Data wrangling is much more complicated, and its challenges more much more variable, than those encountered in Extract, Transform, Load (ETL) processes. ETL workflows require clean, organized data to start with, which is often not readily available. Analysts and business users need easy-to-learn tools that enable them to query and explore data on their own, without help from specialized IT or programming personnel — regardless of how well organized or clean the data is.

Conference Presentation: Unlock and Transform Difficult Data

Access Any Data Source

Useful data is often stored only in difficult-to-access formats, including everything from PDFs to spreadsheets to big data repositories. A robust data wrangling infrastructure makes it easy to connect to all sources and apply the transformations, filters, and calculations required to begin the process. Once you have connected to all your data, you can begin merging and joining data sources in logical ways to fill gaps, eliminate duplicated records, identify outliers, and reshape the data for further analysis.

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Data Wrangling Tools for the Enterprise or the Individual

Altair offers a wide range of advanced data wrangling software built on over 30 years of industry experience. International corporations, government agencies, academic institutions, and small- to medium-sized enterprises use and trust our technology to extract every bit of value from their data sources.

Our tools automate what would otherwise be tedious — and error-prone — manual tasks and are designed so any user can utilize them, eliminating the need for specialized training. You can deploy Altair software on desktop, on your own servers, or in the cloud depending on what works best for your team.

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