Data Cleansing Services

Every business invests significant effort and resources into data entry services to gain accurate and organized information. This accuracy enhances decision-making and operational efficiency. However, issues like inaccurate, incomplete, duplicate data, format inconsistencies, and outdated information can severely impact the final outcome. That is where the data cleansing service comes into play.

The data cleansing process deals with making the data accurate, reliable, and complete for analysis and decision-making. It involves implementing data validation rules, data cleansing tools, and establishing a thorough data governance strategy to maintain consistency, accuracy, and completeness over time.

Let’s take a detailed look at how data cleansing services work, what is included in this process, the benefits of this process, and what to consider when outsourcing this process. We shall also discuss why you should trust YesAssistant to handle your data cleansing service. Let’s discuss.

What is Data Cleansing?

Whether you are a novice business owner or a seasoned one, if you have never adopted a data-cleansing process, you must question, what is a data-cleansing service? 

Well, data cleansing, aka data scrubbing, deals with identifying and correcting errors, inaccuracies, and inconsistencies in a dataset. This process increases data quality to enhance reliability during analysis. 

Additionally, database cleaning protects your organization from data breaches, as inaccurate data causes 27% of data breaches. On the whole, data cleansing offers you better insights to make better decisions for your business and production while being cost-effective and increasing security.

How Does Data Cleansing Service Work?

Data cleansing services are quite time-consuming, requiring rigorous verification, correcting, standardizing, and validating. Professional data cleansing service providers often take advantage of software and specialized tools to automate this system.

While specialized tools make the process reliable and efficient,  it still requires manual checking and verifying. In general, the key aspect of this process involves:

• Auditing and Assessing: Data cleaning starts by identifying and fixing typographical errors, incorrect values, and formatting issues. This process is done within two steps:
  • Evaluating the current state of data to identify the mistakes, inconsistencies, and missing values.
  • Analyzing the data to understand its structure, content, and quality.

• Data Deduplication: In this step, duplicate records are detected within the dataset and consolidated into a single, accurate record or redundant entries using algorithms and specialized cleansing tools.

• Standardizing Data: Once all duplicate data are merged or purged, they are organized to follow a consistent format and converted into a standard format to maintain uniformity.

• Error Correction: As the database is organized, professionals focus on correcting spelling mistakes, typos, and incorrect entries by cross-checking data against known standards or references.

• Missing Data Handling: As the errors are corrected throughout the database, gaps or missing entries are detected and filled in using statistical methods or predictive algorithms.

• Transforming Data: With the inclusion of missing data, the dataset is transformed to make it suitable for analysis and summarized to provide higher-level insights.

• Validation and Verification: In this step, data consistency is checked across different datasets and systems, and accuracy is validated manually or automatically.

• Integration: Once the database is validated and verified, data from multiple sources are integrated to generate a unified dataset, and conflicts between different data sources are resolved. 

• Revisions and Documentation: As data from different sources is integrated, a final revision is conducted to ensure all errors have been addressed and the data meets quality standards. The cleansing process is documented in detail for future reference. 

This is a simplified outline of the entire process that can take hours of labor and years of expertise to identify the scopes and errors.

What is Included in Data Cleansing Services?

As an organization, you gather data from multiple sources to better understand the overall situation. However, when you combine data from multiple sources, there are several opportunities for mislabeled and duplicated data. When data is incorrect, algorithms and outcomes are untrustworthy, even if they may look sound.

So, your data cleansing and enrichment service provider will conduct the following tasks to ensure you have sound and trustworthy data for your business:

Data Scrubbing

• Improves data quality
• Inconsistencies and errors are corrected to make the dataset reliable
• Deals with typos, inconsistencies, duplications, corruptions, and irrelevance of data

The process of cleaning data to improve quality is called data scrubbing. This process involves identifying and correcting inconsistencies and errors to make the data reliable and accurate to analyze.

Typos, inconsistent, duplicate, corrupt, and irrelevant data are the primary concerns of data scrubbing. Most of them directly result from human error, while data formats, structures, and terminology are also responsible for such mistakes. 

Professional data cleansers will identify and scrub these errors from the dataset to gain consistency, accuracy, and reliability.

Data Deduplication

• Improves storage efficiency
• Eliminate duplicate copies of data
• Handled through unique identifiers and hashes

Eliminating duplicate copies of data to reduce storage is another crucial task. It improves your storage efficiency and lowers costs. This process involves scanning storage volumes for duplicates, removing redundant ones, and keeping only one instance.

The whole process is done by using unique identifiers of hashes. Data integrity and processing power requirements are the primary concerns of this process. Advanced algorithms and regular checks are crucial to maintaining this action.

Your storage cost is reduced significantly due to data deduplication. As a result, you gain improved backup efficiency and better data management solutions. 

Data Standardization

• The dataset is converted into a consistent format
• Makes acquired data compatible across different systems and datasets
• The process involves defining standards, transforming data, and validating results

Data standardization is undeniably important in terms of avoiding poor data quality and maintaining reliability. In this process, the acquired data are converted into a consistent format, making them compatible across different systems and datasets.

This process involves defining standards, transforming data, and validating the results. Several tools and protocols are enforced to maintain these standards. As a result, professionals can ensure data is uniform and accurate.

Regular audits and advanced algorithms are crucial to handling these diverse data and validating the results. With professional data quality management, you get to make informed decisions and organize your organizational process to gain a better competitive edge. 

Data Assessment and Audit

• Errors, inconsistencies, and discrepancies are identified through systematic checks and validations
• Data quality is evaluated, standards are set, and the dataset is analyzed
• Corrective measures are implemented to improve consistency and completeness

Data assessment and audit help identify errors, inconsistencies, and discrepancies in datasets. In this process, data cleansing professionals evaluate data quality, set standards, and analyze datasets. 

There are several cleaning tools that help detect and document data issues. Once the issues are detected, corrective measures are implemented to improve quality. However, consistency and completeness are always a concern in the case of assessment and audit. 

To handle this task, professionals conduct systematic checks and validations. Thus, the enhancement of data integrity leads to improved business insights.

B2B Data Cleansing

• Removes outdated, duplicated, or irrelevant business information
• Ensures reliability and integrity of the business database
• Specialized tools are used to regularly update data to enhance relevance and completeness

Inaccuracies in business contact and company data are addressed and corrected through B2B data cleansing. This process removes outdated, duplicated, or irrelevant information to ensure integrity and reliability of the business database.

Validating, standardizing, and enhancing data is included in this process to maintain accuracy. With the help of specialized tools, professionals regularly update the data by detecting and correcting errors to reflect current business information.

Relevance and completeness are the primary concerns of this process. Systematic checks and validation enhance customer targeting and optimize marketing efforts through this process. 

B2C Data Cleansing

• Addresses and corrects inaccuracies in customer data
• Duplicated, outdated, and irrelevant data is eliminated to enhance integrity and reliability
• Deals with accuracy, relevance, and completeness

B2C data cleansing addresses and corrects inaccuracies in customer data. Outdated, duplicated, or irrelevant data is eliminated in this process to ensure the integrity and reliability of the consumer database. This database is regularly updated to reflect current customer information.

Similar to B2B data cleansing, completeness, relevance, and accuracy are the main concerns of this process and are handled through systematic checks and validations. 

Address Data Cleansing

• Corrects and verifies mailing addresses in a database
• Contact lists like email addresses, mailing addresses, and phone numbers are corrected and updated here
• Address formats are standardized, and missing addresses are recorded

Correcting and verifying mailing addresses in a database is done through address data cleansing. With this process, you ensure your dataset’s addresses are accurate and standardized. As a result, the deliverability of mail and packages is improved.

In this process, addresses are compared against official postal databases, and errors are corrected. Your data cleansing and enrichment service providers will standardize address formats and add missing information. They will also remove duplicate addresses to avoid unnecessary costs.

Completeness, accuracy, and standardization are the main concerns of this process, which is handled through specialized tools and systematic checks. Thus, your organization can target effective leads and optimize the market research efforts as a whole. 

CRM Data Cleansing Services

• Deals with identifying and correcting CRM data
• Removes duplicated, irrelevant, and outdated data
• Goes to systematic approaches and validations to increase relevance and accuracy

Inaccurate CRM data can cause poor customer relationships, ineffective marketing, and operational inefficiencies. With CRM data cleansing solutions, you can identify and correct inaccuracies in customer relationship management data.

This process involves removing irrelevant, duplicated, and outdated data to ensure the integrity and reliability of CRM databases by validating, standardizing, and enhancing data. 

With systematic approaches and validations, professionals ensure data accuracy, relevance, and completeness. Thus, you can make better business decisions and target more suitable customers for your organization. 

Healthcare Data Cleansing

• Involves in verifying and correcting patient records
• Enhances operational efficiency in healthcare organizations
• Improves patient care and decision-making capabilities

Healthcare data cleansing involves verifying and correcting patient records to ensure accuracy. Without proper curating of healthcare data, you may put patient safety at risk and suffer from operational inefficiencies and non-compliance with healthcare regulations. 

With healthcare data cleansing, you can maintain reliable and up-to-date patient data. This process includes merging duplicate records, correcting structural errors, and standardizing data formats. Professionals leverage specialized tools to detect and fix inaccuracies and update records regularly to reflect current patient information.

This process improves patient care, reduces risks, and enhances decision-making. 

Salesforce Data Cleansing

• Improves integrity and reliability of the salesforce database
• Improves customer relationships and makes market research reliable
• Requires regular update

Identifying and correcting inaccuracies in salesforce CRM data is involved in salesforce data cleansing. This process ensures the integrity and reliability of the salesforce database by removing outdated, duplicated, and/or irrelevant data.

Inaccurate salesforce data leads to poor customer relationships, ineffective market research, and operational inefficiencies. Professionals use specialized tools to detect and correct errors and keep the database updated regularly to reflect current business information. 

AWS Data Cleansing

• Amazon Web Services offers a detailed suite of cloud computing services
• The process involves identifying, correcting, and managing data inaccuracies
• AWS Glue, AWS Glue DataBrew, Amazon EMR, and AWS Data Wrangler are the primary tools involved

AWS data cleansing involves using various AWS services to identify, correct, and manage inaccuracies in data to ensure dataset quality and reliability. Without proper AWS data cleansing, your business suffers from poor customer satisfaction, increased costs, regulatory compliance risks, and missed opportunities. 

AWS Glue, AWS Glue DataBrew, Amazon EMR, and AWS Data Wrangler are the primary tools to conduct these cleansing tasks. With systematic checks and validations, data cleansing companies offer data accuracy, security, and completeness.

Excel Data Cleansing

• Inaccuracies in Excel data cause poor decision-making, compliance issues, and operational inefficiencies
• Consistency and completeness are the primary concerns of this cleansing process
• Excel functions and add-ins are used to detect duplicated, outdated, and irrelevant information

Excel data cleansing process removes outdated, duplicated, or irrelevant information to ensure the integrity and reliability of Excel data. Excel data inaccuracies lead to poor decision-making, operational inefficiencies, and compliance issues. However, tools like Excel functions and add-ins can significantly reduce them.

Consistency and completeness are the primary concerns while you are cleansing Excel data. Regular updates, systematic checks, and validation are the ways to address these concerns. As a result, your organization’s operational efficiency increases, and you will be able to comply with industry regulations. 

Master Data Cleansing

• Inaccuracy in master data affects inventory levels, shipment, miscommunication, billing, and customer dissatisfaction
• Maintaining consistency and accuracy across various systems is crucial
• The process standardizes data formats and removes duplicate entries

Master data acts as a single source of truth, maintaining consistency and accuracy across various systems and processes within your organization. Thus, any inaccuracy in this dataset can affect your inventory levels, shipment, billing, miscommunication, and even failure to meet customer needs. 

When you outsource data cleansing services, the expert team will detect and correct errors, leveraging tools to standardize data formats and remove duplicate entries. As a result, your organization will clearly understand your customers, products, suppliers, employees, and locations.

Database Cleaning Services

• Performed interactively through batch processing or using data-wrangling tools
• Detects and removes inconsistencies caused by corruption or by different data dictionary
• Validation can be strict or with fuzzy or approximate string matching

To organize effective campaigns and analyze previous results, you need to have a clean, accurate, and effective database management system. It is impossible to curate your future trends and marketing strategy with dirty data as they interfere with your workflow.

That is where database cleaning services become crucial. With the help of data clean-up service experts, your database will become clean, error-free, and effective. Therefore, all your analysis will show you accurate trends and help you construct creative, strategic solutions.

Data Enrichment Services

• The process involves enhancing existing data with additional information
• Adds context and depth to the existing data
• Professional expertise and digital tools are used to renovate existing dataset

To gain up-to-date industry information, it is often crucial to gain actionable insights. That is where data enrichment services come into play. This process involves enhancing existing data with additional information from external sources. Thus, adding context and depth to the existing data.

Integrating and validating new data into existing databases is a time-consuming and hectic task. When this task is outsourced, experts leverage their expertise and digital tools to renovate existing datasets for better business insights and effective lead generation.

Data Purging

• This process permanently deletes obsolete and irrelevant data from the database
• Identify and remove unnecessary data using predefined criteria
• Improves system performance and reduces storage cost

For permanently deleting irrelevant and obsolete entries from a database, the data purging process is a must. It helps your business optimize performance and free up storage space. Therefore, your database will only contain the necessary data to help you make informed decisions.

Data loss and regulation compliance can happen due to inaccurate data purging which may result in incomplete dataset, affecting your overall organizational efficiency. With professional data purging service you get to have predefined criteria to identify and remove unnecessary data. This significantly improves system performance while reducing storage cost.

Data Integrity Check

• Keeps your data uncorrupted and trustworthy
• Systematic checks are required to detect and correct errors in the dataset
• Improves data reliability to make better business decisions

Data integrity check process makes sure all the data in your database is validated for accuracy, reliability, and consistency. With this measure, you keep your data uncorrupted and trustworthy. You will need a systematic checklist to detect and correct errors in your dataset.

Completeness and consistency are the primary concerns of this process. Professional database cleansing companies handle this by validation rules and error detection tools. Therefore, data reliability is improved, and you can make better business decisions.

Benefits of Professional Database Cleansing Services

Now that you know what tasks your data cleansing service provider can handle for you when you outsource, it’s time you learn about the advantages. 

While data cleansing revolves around identifying and fixing errors, removing duplicates, standardization, and data validation, the benefits are significant for your business. Let’s take a quick look at them:

• Boosting your organizational efficiency by eliminating redundant data to simplify operation
• Offers better business insights to improve decision-making process strategic
• Improves customer communication and satisfaction by maintaining up-to-date data
• Reduces unnecessary expenses by removing outdated and duplicate data
• Clean and accurate data helps organizations meet industry regulatory data
• Allows you to target the right audience to optimize your marketing strategy
• Identifies new opportunities to drive sales for better revenue
• Builds trust and credibility with stakeholders, which enhances your business reputation

So, you should think of getting an effective data cleansing service for your organization.

What to Consider When Outsourcing Data Cleansing?

If you have decided to outsource your database cleaning, you should know how you can hire the best service. As experts who have been offering data cleansing services for more than 10 years, here are our recommended factors you should check before outsourcing data clean-up:

Ensuring Data Accuracy 

Accuracy is the priority when you are outsourcing data cleansing service. An expert service provider will use advanced algorithms and human oversight to maintain your database precisely. For example, retail businesses’ data cleansing process revolves around correcting inconsistencies in their inventory to avoid costly errors.

Accuracy should align to the data with its intended purpose. Your outsourcing partner will understand your needs, use automated tools and manual efforts to validate. Consider asking potential vendors about their error detection rate or success stories to get a better sense of their expertise.

Scalability

While handling massive data is time-consuming and labor-intensive, outsourcing gives you the benefit of cost-effective solutions. While hiring an in-house employee takes a longer time to integrate, you can immediately access specialized expertise at a fraction of the cost.

Additionally, a good service provider will offer you flexible pricing depending on your data volume. You can consider both one-time and ongoing service providers depending on your organizational need.

Data Security

The security of your sensitive data is another crucial factor to consider while outsourcing database cleansing services. Data breaching risks are very real, and reputed service providers should have a strict security protocol to handle such incidents.

Look for certifications such as ISO or GDPR compliance. You must choose a vendor that prioritizes encryption and secure access. Additionally, you should ask about their data retention policies to maintain control over your datasets.

Industry Expertise and Knowledge

A provider familiar with the healthcare industry will better understand the importance of cleaning patient records or medical billing data than real-estate data cleansing. So, consider hiring services from the vendor who have industry specific knowledge aligning your business.

Multilingual Data Support

If your business operates internationally, it is essential to find a data cleaning service provider capable of providing support in different languages. Misinterpretation of foreign language data could lead to incorrect conclusions. This can cause disruption in your overall operations.

Payroll-Free Convenience

Data cleansing often requires short-term, project-based teams, which can create unnecessary administrative overhead. With outsourcing, the vendor handles their own workforce, leaving you free from the burden of managing employee taxes, benefits, and contracts.

Post-Cleansing Support

A good outsourcing partner will offer post-cleansing support to ensure the data remains accurate and updated over time. This might involve regular maintenance services, like removing outdated entries or updating incorrect information as it surfaces.

Technology and Tools

Advanced data quality firewalls can speed up the process and improve accuracy by automatically identifying errors that may be hard to detect manually. However, not all vendors use cutting-edge technology, so it’s essential to ask about the cleaning tools they employ.

Cloud-based platforms, for instance, allow for easier collaboration and data sharing without compromising security. Selecting a provider who uses modern technology ensures that your data is not only cleaned efficiently but also prepared for future scalability.

Where You Can Hire Data Cleansing Services?

As data cleansing deals with massive amounts of information or different varieties, you must consider a dedicated professional to handle this process. While there are many websites and service providers that offer this service, not all of them can handle your business requirements.

That is why you should consider outsourcing your database cleaning service to YesAssistant. We have professionals working in different industries who are more than capable of dealing with your database. Whether you are running a real-estate business or a healthcare organization, our experts are familiar with your industry and can maintain all the industry-based regulations.

In addition, we offer scalable solutions depending on your business requirements. As a result, you gain financial flexibility and can allocate your resources exactly where your organization requires to grow and succeed.

We have all the latest cleansing tools and technology to make your database error-free, consistent, and valuable. So, you only get the relevant results for your organization and make the most effective decision to take your business to the next level.

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