What is scrubbing data

Watch overview. Trusted By. What is data scrubbing? How does data scrubbing work? Data integration Connect to data sources and load data from various sources, such as local files, relational database servers, CRMs, or other web applications.

Data cleansing Perform data cleansing activities to remove statistical and structural anomalies from data values, such as removing leading and trailing spaces, replacing null values, fixing punctuation errors, and more. Use Wordsmith tool Fetch the most repetitive words occurring in a data field, and decide to flag, replace, or delete certain words to achieve standardization, or prepare data for matching and deduplication.

Data profiling Run profiling and validity checks to assess data quality, build current data profile reports, and identify potential data cleaning opportunities. Pattern recognition and validation Recognize hidden patterns in your data columns, run validation checks, and transform invalid information so that all values follow the valid pattern. Duplicate detection Identify duplicates present in your data records by running suitable data matching algorithms and detecting fuzzy , numeric, exact, or phonetic variations of the same data.

Let Data Ladder handle your data scrubbing process. See DataMatch Enterprise at work. Learn More. Business benefits. How can data scrubbing benefit you? Reconcile duplicate entries Identify and remove duplicate company accounts and customer names to avoid processing multiple invoices and duplicate marketing campaigns. Define Data Standards and Rules Enforce an enterprise-wide data quality framework with data rules, file naming conventions, and formats for operational efficiency.

Enhance customer targeting Clean contact name, address, email, and phone records to drive higher customer acquisition and retention goals, increasing sales. Prep Data for Actionable Insights Resolve data anomalies including varied formats to prepare data for gaining accurate analytical insights for decision-making. Improve employee productivity Overcome data decay problems to save staff considerable person-hours spent on verifying contact address, email, and phone data.

How accurate is our solution? Speed is important, because the more match iterations you can run, the more accurate your results will be. Here speed indicates time to first result, not necessary full cleansing. The data gathered by an organization comes from various external and internal sources. In order to get maximum and valid use of it, the raw data must be cleaned and compiled before it can go through other data processes.

Data Integration is the process of combining data from different sources so that it can be consolidated in a single platform. Ensuring data quality in raw data coming from disparate sources with different structures and formats can be time-consuming and difficult.

A data scrubbing tool, cleans the incoming data so that the integrated data set is standardized and formatted before being fed into the destination system. Data Migration involves the transfer of files from one system to another. It is important to maintain data quality and consistency during this transfer so that the correct formatting and structure are present and there is no duplication at the destination.

A large volume of data is usually involved in this process. Data scrubbing tools help clean your data efficiently, ensuring better data quality throughout the enterprise. Data Transformation involves applying certain rules, filters, and data cleaning before it can be analyzed further.

A data scrubbing tool help cleanse the data using built-in transformations, enabling you to meet the desired operational or technical requirements ahead. Data scrubbing helps prepare data during the ETL extraction, transformation, and loading process for reporting and analyses. It ensures that only high-quality data is being used for decision-making and analysis. For example, a retail company receives data from multiple sources, such as a CRM or an ERP system, containing erroneous information or duplicate data.

A good data scrubbing or data cleansing tool would find out the inconsistencies in data and rectify them. The scrubbed data will then be converted into the standard format and loaded into a target database or data warehouse.

Data scrubbing tools can help you skip through the tedious process of going through all the data manually by cleansing it through built-in transformations. Cleansing data manually involves going through the entries individually, row-by-row, and inspecting them for any invalidities, missing values, etc.

For example, consider the lead list delivered from your marketing team. Think of how much time this process takes and the operational issues that could be created if just a few erroneous entries are left uncorrected. Data cleaning , also called data cleansing, is a less involved process of tidying up your data, mostly involving correcting or deleting obsolete, redundant, corrupt, poorly formatted, or inconsistent data.

Data professionals do the actual cleaning, checking the database and making corrections and edits as needed, and practicing good data entry habits. Consider data scrubbing as a subset of data cleaning. However, there are specific sectors and industries that, due to the essential roles they play in society, must make data scrubbing a very high priority. This article provides some sobering statistics about data quality.

Among the points it touches upon:. There are many more data cleaning utilities out there, with some that emphasize certain aspects of data cleansing over others. Every business has unique demands, so make sure to shop around for the best fit. This practice is a short-sighted approach that is ultimately self-defeating and costly. As more organizations become aware of the importance of incorporating a data quality strategy, there will be a correspondingly higher demand for professionals who are familiar with all aspects of data management.

Data management professionals, however, have the daunting task of trying to learn all the many facets of data management. Your data quality impacts ever facet of your business over time. You can also load your own customer data cleansing templates into the Health Assessment to track issues that are specific to your organization.

Want to see how healthy your customer data is today? Sign up and your customer data Health Assessment will start generating automatically! Table of Contents. Search Google. Recent Posts. Archives February 9 March 7 April 7. What Is Data Scrubbing? Data Scrubbing vs. Some of the common data issues that are remedied in the data scrubbing process include: Duplicate data. Duplicate customer records break up the single customer view that is shared by all of your in-house teams.

It is important that every customer has a single record so you have the full context to guide your interactions with the customer. Inconsistent data. Ensure that all fields follow a consistent format. For instance, there are multiple ways to express a phone number in data. Redundant data. The data scrubbing process will help you to merge or remove redundant data to improve usability and minimize costs.

General errors and typos in data. Whenever a human enters data manually, you can be sure that there are going to be some mistakes. Simple things like a first name being all-caps JANE vs.