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Outsourcing your data cleansing is a positive experience!

Sep 4

4 min read

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Data cleansing is an essential process for every business as it involves rectifying and eliminating errors or corruptions from sensitive and critical data. Clean data is crucial for business insights, efficiency, and accuracy. If you haven't cleaned your company's data before, there might be several issues affecting its performance, which can lead to reduced efficiency and productivity. 


Managing data cleansing in-house can be complex, it requires advanced technology and software that some businesses may not have access to, there is also a crucial project management aspect, a skill set that many companies do not need to retain. Thus, outsourcing data cleansing to a reputable Business Process Outsourcing (BPO) specialist company, such as Data Worx Global can be highly beneficial. BPO firms are experts in data cleansing, utilizing the best technology and experienced professionals to ensure accurate and efficient results. 


The benefits of data cleansing are numerous. Clean data leads to fewer errors, increased efficiency, better data structure, clutter removal, and stronger business insights. This clean and accurate data is crucial for businesses to make strategic decisions based on concrete evidence. 


In contrast to data cleansing, data transformation refers to the process of converting data from one format to another to meet specific business requirements. This is most common during processes such as CRM or ERP replacement or upgrades.



Data cleansing and data transformation are often mistaken for one another, but they serve different purposes. Data transformation involves converting data from one structure to another, while data cleansing focuses on eliminating corrupt, inaccurate, or invalid records from the data. 


Both data cleansing and data transformation are crucial for efficient data entry, storage, processing, and management. Data cleansing needs to be performed before data is entered and stored to prevent the wastage of vital storage space due to erroneous records. On the other hand, data transformation can be carried out at any point in time. Generally, data is transformed into a uniform format before storage to facilitate processing, analysis, and retrieval. However, companies may also opt to transform or convert their data into another format or structure as needed. 


Data Worx plays a vital role in data cleansing by providing valuable data-related services. We excel at handling complex and large datasets with precision and efficiency. Data Worx undertakes various measures to effectively cleanse data, including removing errors, verifying and validating data, normalizing and streamlining the database and removing excess data like duplicates. 


Clean data is characterized by its accuracy, which is essential for successful data management and utilization. If data is inaccurate, it becomes unsuitable for any processes or operations. 


Overall, data cleansing and data transformation are essential processes that contribute to maintaining the quality, accuracy and usability of data across different business operations and internal corporate interoperability.



When it comes to clean data, there are several key characteristics to keep in mind. First, data must be complete. This means that all information should be accurate and free from errors. In addition, it's important for data to be consistent and uniform. Consistency ensures that data is reliable and easy to interpret, while uniformity ensures that data can be compared and analyzed effectively. 


Another crucial aspect is the validity of the data. Valid data adheres to the specific constraints set by your company. Ensuring these characteristics in your data is essential for maintaining its quality and making the most of it for business success. 


In terms of cleansing data, there are various software programs available to assist in this process. Data Worx has a suite of industry standard tools, this presents another distinct advantage as our customers do not need to invest in software licensing and maintenance. Our Quality Stage review at the point of delivery, is to provide you with clean, accurate and reliable data. The choice of software depends on the specific needs of your business and your preferred systems. 


At Data Worx, we specialize in data cleansing and maintenance and are considered experts in all data-related matters. Data cleansing is just one example of the various professional services companies trust us to execute for them. If you're interested in learning more about the importance of data cleansing for your company, please reach out to us today by clicking "Here."


Your data is our obsession, let us make sure it Worx for you!



The bullets, a quick reference guide to Data Worx deliverables and benefits:


  • Fewer errors - the purpose of data cleansing is to remove the risk of imperfections, corruptions, errors, or duplicates. The benefit? Data that has been cleansed is easy to use and will minimize errors in your use, application and data analysis.

  • Efficiency improvements – poor quality data has a significant impact on productivity and profitability. This risk is at the least, detrimental to efficiency. With clean data, your team can operate quickly, efficiently and accurately, boosting productivity and profitability!

  • Improved structure - data cleansing will significantly improve data storage and structural data management and maintenance. With clean, accurate and uniform data, your business has a strong foundation to build on.

  • Remove clutter – poorly managed data takes up valuable space in your database, in a cloud environment, this additional, wasteful data will be costing you money,and affecting efficiency. When data is clean, duplicates and excess content is removed, leaving only clean, complete and usable data.

  • Improved business insights – if knowledge is power, then data is the fuel that allows your business to make informed strategic decisions based on concrete evidence and offering data-based risk reduction. With clean data these business insights are much easier to conclude and rely upon.



Sep 4

4 min read

0

5

0

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