Qu'est-ce que l'épuration des données et pourquoi en avez-vous besoin ?

If there’s one thing businesses have a lot of, it’s data, which is why data scrubbing has become such a vital practice. Your budget? Data. Your product inventory? Data. Your marketing metrics? You guessed it—data.

With so much data floating around your company, it takes a rigorous effort to keep it all accurate and organized. But, inconsistencies and inaccuracies can still pop up even when you go out of your way to manage your data efficiently. So, when that happens, what do you do?

La réponse est l'épuration des données. L'épuration de vos données est le meilleur moyen de les remettre en état. Mais qu'est-ce que l'épuration des données ? La réponse est qu'il s'agit du processus de nettoyage de vos données. Poursuivez votre lecture pour en savoir plus.

An introduction to data scrubbing

First, let’s take a look at the basics of data scrubbing and define what it means to scrub your data.

Qu'est-ce que l'épuration des données ?

L'épuration des données est un processus qui consiste à passer en revue les données de votre entreprise et à modifier ou supprimer rigoureusement les erreurs au fur et à mesure que vous les trouvez. Ces erreurs peuvent être liées à l'inexactitude, à l'incohérence, à la duplication ou à toute autre chose.

Nettoyage des données vs. nettoyage des données

Vous avez peut-être déjà entendu l'expression "nettoyage des données". Si c'est le cas, vous vous demandez peut-être s'il s'agit de la même chose que le nettoyage des données. La réponse est en quelque sorte.

Le nettoyage des données consiste à examiner vos données et à corriger les erreurs évidentes que vous constatez. Cela ressemble à l'épuration des données, n'est-ce pas ? La différence, cependant, est que l'épuration des données est beaucoup plus complexe. Lorsque vous nettoyez vos données, vous êtes extrêmement minutieux, vous recherchez délibérément les plus petites erreurs et vous les éliminez.

En ce sens, l'épuration des données est une forme de nettoyage des données, mais elle est beaucoup plus approfondie que les autres méthodes de nettoyage.

In fact, data scrubbing even includes automated disk drive and storage system checks when storing data. Efficient scrubbing ensures your data is free from bad sectors and readable.

The importance of data scrubbing

Why is data scrubbing important for your business? Let’s discuss the benefits or regularly scrubbing your data.

Why is data scrubbing necessary?

Vous vous demandez peut-être pourquoi l'épuration des données est si nécessaire. La réponse est que sans cela, vos données vous seront beaucoup moins utiles.

Quelle que soit la minutie avec laquelle vous recueillez et organisez les données, des erreurs sont toujours possibles. Il y aura inévitablement certaines entrées de données qui ne seront pas exactes. Et une seule donnée inexacte suffit à tout gâcher, en particulier si vous utilisez ce point de données pour calculer d'autres indicateurs.

Plus, even where there aren’t outright mistakes, there could be formatting issues that cause data to get calculated differently, or excluded from calculations altogether, by the tools you use. Basically, data mistakes can cause huge problems for your company.

Mais l'épuration des données vous permet d'éliminer toutes ces erreurs et de vous épargner d'innombrables problèmes.

How does data scrubbing enhance data management?

Routine data cleansing can enhance all aspects of your data management systems. With accurate and relevant data on hand, you’ll improve:

  • Data integration: Format and standardize data before combining it with other clean data.
  • Data migration: Maintain data integrity as you transfer it from one system to another.
  • Data transformation: Convert data according to your formatting needs before you load it onto your system. 
  • Data extraction, transformation, and loading (ETL): Prepare data seamlessly for quality reporting and more effective analysis.

The benefits of data scrubbing for customer data management

Scrubbing your customer data has its advantages, including:

  • Improved customer communication: With accurate and relevant data at your fingertips, you can improve customer interactions and build trust.
  • Better decision-making: Error-free data makes it easier to pinpoint what’s working and areas that need improvement.
  • Improved business revenue: Reduce the time and money spent on miscommunication due to inaccurate data and ensure customers enjoy a positive experience, leading to more conversions.
  • Increased employee productivity: When data is accurate and easy to find, your employees are more efficient and produce better results.

Data scrubbing processes and techniques

Understanding the importance of data scrubbing is one thing. Knowing how to scrub data is another. But before we dive into the process, let’s break down the data discrepancies you should be on the lookout for.

À quoi sert l'épuration des données ?

There are several types of mistakes you can use data scrubbing to fix. Some examples of the issues you can correct with data scrubbing include:

  • Des erreurs flagrantes : Parfois, les données ne sont tout simplement pas exactes. Ces points ont peut-être été mal saisis, mal calculés ou n'ont pas été mesurés correctement au départ.
  • Formatting issues: You might enter data points accurately but with the wrong formatting. For instance, if you’re entering percentages, you might input one as “75%” but then enter another one as “0.84” instead of “84%.”
  • Données anciennes : Il peut arriver que vous saisissiez un point de données et qu'au moment de la saisie, il soit exact. Mais plus tard, quelque chose change, mais personne ne pense à modifier cette entrée de données, qui devient donc obsolète.
  • Duplicate data: It’s relatively common for data to be inadvertently entered more than once into a database. Having repeat data can mess up a lot of calculations—for instance, a sale might get logged two different times, making you think you’ve earned more than you have.

Il existe potentiellement d'autres types de divergences de données que celles énumérées ci-dessus. Si de tels problèmes se cachent dans vos bases de données et vos feuilles de calcul, il vaut vraiment la peine de prendre le temps de les éliminer et d'améliorer la fiabilité de vos données.

What does the data scrubbing process look like?

The scrubbing process may differ from one organization to the next. Ultimately, your process will depend on the type and extent of your data set and your analytics needs.

That said, scrubbing data will usually include these core steps:

  • Identify the issues: Inspect, audit, and profile the data to determine data relationships, quality, errors, and other issues.
  • Determine your requirements: Set some data rules that align with your business needs, like formatting guidelines and required fields. 
  • Scrub the data: Correct your data issues in line with your company’s requirements.
  • Check the data: Verify that the scrub was successful by checking the data for the discrepancies you picked up in step one and the rules you created in step two.
  • Document the results: Create a report showing the problems your data cleansing process identified and corrected and how it affected data quality.

After successful scrubbing, you can transfer your data to prepare it for analysis.

Scrubbing your data routinely is the best way to maintain data integrity over the long term. Most businesses should conduct a scrub every three to six months for consistent, quality data.

If you work with particularly sensitive data or store and analyze data at scale, it’s probably best to initiate a data scrub more frequently. A thorough scrub is always a good idea if you ever feel like your data’s integrity is compromised.

Who is responsible for data scrubbing?

Interested in learning more about job roles that typically include data scrubbing as part of their responsibilities? If you’re looking to employ someone to oversee and manage data in this way, you’ll need one of the following:

  • Data quality analyst
  • Data engineer
  • Data manager
  • Data scientist
  • Business intelligence (BI) analyst

What is data scrubbing in a RAID?

If you’re familiar with large-scale data storage practices, you’ll know exactly what a RAID is. 

For those less familiar, a RAID, or Redundant Array of Independent Disks, is a data storage technique used to store your data in multiple locations. This approach improves data storage performance, reliability, and protection.

Data scrubbing is also effective in a RAID—it reads all the data stored, identifies inconsistencies, and corrects them. Scrubbing tools can search for, repair, and rectify copied, unmatched, and invalid data when stored this way.

How do you scrub data in SQL?

When it comes to more complex data storage and transfer systems, ETL tools are commonplace. These tools help companies extract and load data through their data pipeline, seamlessly transforming it to meet their needs.

ETL tools use a data management programming language known as SQL to transform the data. Using separate software or processes to clean the data before transformation can complicate the process. 

ETL tools allow data engineers to write SQL for data scrubbing. This feature lets you simultaneously clean and transform your data, streamlining the operation.

Top data scrubbing tools and vendors

Odds are, your company has a vast amount of data to deal with. Given that fact, manually sorting through every single data entry would be an enormous pain. Thankfully, there’s no need to do everything manually.

You’ll find several different data scrubbing tools online that can automate a decent bit of the process. Here are three of the best data scrubbing tools out there!

1. OpenRefine

Prix : Gratuit

OpenRefine is a free, open-source tool for cleaning and altering data. You can use it to peruse your data for mistakes and edit existing data as needed, changing names and adding additional elements.

Another valuable OpenRefine feature is that it can translate numbers into numerical data. Often, tools translate numerical data as text rather than your tools recognizing it as numerical data that you can use in charts and spreadsheets. OpenRefine can identify numbers separately from other text, though.

Page d'accueil d'Openrefine

2. Winpure

Price: Based on a custom quote, with a 30-day free trial available

Winpure is another useful data scrubbing tool and one of the more popular ones available. The great thing about Winpure is its flexibility. It can work with various programs and software, from Excel spreadsheets to advanced databases.

Vous pouvez utiliser Winpure pour nettoyer des données ou pour effectuer des nettoyages de données plus légers. Une autre caractéristique utile de Winpure est qu'il peut gérer des données dans plusieurs langues. Ainsi, si vous travaillez dans d'autres langues que l'anglais, Winpure vous couvre. 

Page d'accueil de Winpure

3. Cloudingo

Price: $2500+ per year, with a 10-day free trial available

Le dernier outil de nettoyage de données de notre liste est Cloudingo. Cloudingo peut effectuer les mêmes tâches de nettoyage de données que Winpure et OpenRefine, avec l'avantage supplémentaire d'être totalement compatible avec Salesforce.

L'outil est extrêmement intelligent et repère facilement les erreurs qu'il pense être dues à une erreur humaine. Il peut supprimer rapidement et efficacement les doublons qu'il découvre sans affecter négativement les données elles-mêmes. Cloudingo offre même une prise en charge supplémentaire des interfaces de programmation d'applications (API).

Page d'accueil de Cloudingo

4. DataMatch Enterprise by Data Ladder

Price: Based on a custom quote, with a 30-day free trial

Our final data scrubbing solution is DataMatch Enterprise, developed by Data Ladder. This powerful tool does more than just scrub your data. It offers an end-to-end solution for data management, from data profiling to integration, pattern recognition, workflow organization, and many more helpful options.

DataMatch Enterprise boasts impressive processing speeds capable of importing, profiling, cleansing, matching, and exporting your data in under 12 minutes. With DataMatch Enterprise, you also have the option of API support, simplifying integration and automation.

This software lets you clean data in a host of formats, including MS Excel, SQL, and text files.

DataMatch Enterprise data scrubbing tool

5. Data scrubbing in Microsoft Excel

Microsoft Excel has been a small business go-to data management tool for years. Although it’s less advanced than the above data scrubbing tools, it’s possible to do a basic data scrub in Excel. However, the process includes several steps and will take some time to complete. 

If your data management needs are less complex and you have the time to work through a lengthier process, you’ll find a comprehensive data cleaning guide on the Microsoft website.

Nutshell peut vous aider à organiser et à analyser vos données clients

Prêt à nettoyer vos données ? C'est très bien ! Mais avant de commencer, il vous faut un endroit où stocker ces données. Lorsqu'il s'agit de vos données clients, il n'y a pas de meilleur outil qu'une plateforme de gestion de la relation client (CRM) telle que Nutshell.

Nutshell is the perfect place to store your customer data because it can easily import and categorize it. Plus, it can compile that data into reports for you to learn more about your audience. Want to try out Nutshell for yourself? Start your 14-day free trial today!


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