Data scrubbing is critical, especially when maintaining databases because having clean data with consistent and correct input is critical to creating and running a successful business. Because digital data input is performed by people, it is impossible to eliminate errors such as misspellings, duplicated entries, incomplete or missing values, and inconsistencies. As a result, there is always the need for clean-up.
This article explains why it’s vital to have your data scrubbed and introduces you to the notion of data scrubbing.
What is Data Scrubbing?
Data Scrubbing is the process of correcting data in a database that contains errors, is incomplete, is not correctly structured, or has duplicate entries before exporting it to another system. Data Scrubbing is important because working with impure data can be challenging and lead to a slew of problems. A Database Scrubbing Tool is a set of programs that aid in the correction of various types of errors. Data scrubbing is accomplished by the use of algorithms, rules, look-up tables, and other techniques.
Difference between Data Scrubbing and Data Cleansing
Many sources use the terms “data scrubbing” and “data cleaning” interchangeably, although this is incorrect.
Data cleaning, also known as data cleansing, is a less involved method of cleaning up your data that mostly involves updating or eliminating obsolete, redundant, corrupt, badly structured, or inconsistent data. Data specialists are in charge of the actual cleaning, as well as checking the database and making necessary adjustments and edits, as well as exercising excellent data entering habits.
Scrubbing data can be thought of as a subset of data cleansing. Instead of having a person dig over database spreadsheets and make adjustments, data scrubbing uses actual tools to accomplish a much “deeper clean.”
Benefits of Data Scrubbing
Manual data scrubbing is a tedious and time-consuming process that requires manual chacking of data inputs row by row, which takes a long time and is prone to human error.
Data Scrubbing tools simplify the process by automating the Data Scrubbing or data cleaning process by systematically analysing data according to various rules and algorithms. It cleans the data and prepares it for analysis.
Many Data Scrubbing products are available on the market, but selecting one that meets the company’s needs remains a challenge. Data Scrubbing tools are used by businesses to automate their data cleansing processes and save time.
Data Scrubbing for Effective Data Management Processes
In Data Management Processes, Data Scrubbing is critical. The following are some of the most effective processes:
Data Integration: Data integration is the process of merging data from various sources into a single, unified platform capable of storing large amounts of data. The data sources’ raw data is of poor quality, and it must be processed and translated into a standard format. Data Scrubbing cleans and transforms raw data into a standard format so that it can be combined with other information.
Data Migration: The process of transferring data from one system to another is known as data migration. While migrating data from one system to another is critical to maintaining Data Integrity and Consistency. It ensures that only proper data in the correct format is duplicated to the destination system, with no duplication. Data scrubbing solutions make it easier to clean your data, resulting in higher data quality across the board.
Data Transformation: The process of changing data into a standard or common format before feeding it into a target system or Data Warehouse is known as data transformation. The format is determined by the needs of the company. Filtering, cleaning, and preparation of data are all part of these Data Transformation processes so that they can be used for Data Analysis.
Best Data Scrubbing Tools
- Hevo Data
Hevo Data, a No-code Data Pipeline, helps in the integration of data from 100+ sources to a data warehouse of your choosing, where it may be seen in your preferred BI tool. Hevo is fully controlled and completely automated, allowing you to load data from any source, scrub it, and transform it into an analysis-ready format without writing a single line of code.
Its fault-tolerant architecture guarantees that data is handled securely and consistently, with no data loss. It provides a consistent and dependable solution for managing data in real-time and ensuring that analysis-ready data is always available in your selected location. It enables you to concentrate on critical business requirements and conduct meaningful analysis with a BI tool of your choice.
Winpure is a prominent Data Scrubbing application that assists businesses in removing duplicate data, cleaning big datasets, and effortlessly correcting and standardising data. It’s simple to interface with Access, Dbase, and SQL Server, as well as spreadsheets, CRMs, and other applications.
If your firm uses Salesforce, Cloudingo is the greatest Data Scrubbing solution. It can migrate data, eliminate duplicates, and so on. Cloudingo can handle any size company and removes any human errors. With REST and SOAP frameworks, there’s even more support for application programming interfaces (API).
Trifacta Wrangler is a Data Scrubbing tool that focuses on reducing data formatting time and data analysis. It assists Data Analysts in quickly and accurately cleaning data to evaluate and develop insights from it. For Data Scrubbing, Trifacta Wrangler uses Machine Learning techniques to identify common transformations and aggregations.
- Data Ladder
Data Ladder is a data scrubbing tool with a reputation for speed and accuracy. It has a simple user interface that allows users to clean, match, and deduplicate data in real-time. It also uses an excellent set of algorithms to detect difficulties with fuzzy, phonetic, and shortened data.
Considering data is at the core of much of what we do these days, it’s more critical than ever that databases are as close to perfect as possible. Wrong data analysis and submissions can have a significant negative impact on society, and this can be caused by erroneous data.
We learnt about Data Scrubbing in this article, and how important it is to make sure your database is free of errors that might skew your results and stifle your efforts and productivity.