Nowadays, businesses of all kinds are generating various types of data rapidly. With too much data, businesses are exposed to the risks of data explosion. For big companies, it’s easy to address these challenges. But for small businesses that are on a tight budget, data cleansing and migration might come in handy.
Data cleansing and migration allow you to select, prepare, and transform data to permanently transfer it from one system storage to another. Data migration has three types: cloud, application, and storage migration. Cloud migration refers to the process of moving data from an on-premise data center to the cloud. On the other hand, application migration pertains to moving a software application from one computing environment to another, while storage migration involves moving data from one type of hardware to another.
Mostly, organizations prefer to migrate some of their data to the cloud. This is to increase their efficiency, improve scalability, and reduce the need for technical resources. However, organizations still face roadblocks in moving their data to a cloud computing environment. This is because they overlook some necessary steps essential in identifying data errors before proceeding to data migration.
Data cleansing and data migration go hand in hand to give you effective data management. Prior to migration, your data needs to go through such rigorous cleanup processes first. This is to ensure integrity in your data before it can be transferred into a target location. The following are some important steps your data must go through before data migration takes place:
This first step in the data cleanup process involves identifying all duplicates in your system. It eliminates all redundant copies of the same data and leaves only one copy for storage. With data deduplication, you can reduce storage and bandwidth demand to only 1 MB. Also, deduplication plays a critical role in backing up and storing your data in the cloud.
It refers to the process of checking the accuracy and integrity of your data. This is to minimize some data entry errors including dirty data that arise during the data processing. By verifying your data, you can ensure that all your contacts are reliable for email and direct mail marketing. It’s important to note that data verification is an ongoing process, which should start at the data collection stage and continue during data entry and analysis.
The main goal of data normalization is to logically group data together. After deleting duplicate records and verifying data, it’s time to format data. Data is organized into specific tables and columns to simplify queries and data analysis. With a much more organized structure, it’s easy to access, interpret, and establish data.
Data appending fills the gaps in your database and eliminates incomplete and inaccurate information. It adds information to your database to complete your current customer profiles. This information includes personal, financial, and even social media information. With more information in your data source, it’s easy to sort and segment data.
The last step in the data cleanup process requires you to have processes such as protocols for managing business data. By following established guidelines for effective data management, you can ensure the highest data quality possible. Also, there will be consistent use of data across your departments. Once accuracy, completeness, and consistency are achieved over your data structure, you’re now ready to migrate your data to a different location.
Transferring your cleanse data to another platform has tons of advantages. Not only does it improve data quality, but it also resolves some of your data quality issues. When employed incorrectly, it can help you reduce the time and money needed to maintain high-quality data. Let’s have a look at the top reasons why you must have data cleansing and migration in your business.
Cleansing and transferring your data to another platform is the best way to cut data storage costs. For example, by moving your data to the cloud, you don’t have to invest in IT infrastructure. Also, you don’t need to spend on storage devices such as external hard drives and SD cards. With this strategy, you can minimize long-term costs for storage and retrieval of your data.
Businesses with large data are at risk of data loss. One way of protecting your data is through data cleansing and migration. By saving your clean data on a different location can prevent any loss of data. Not only does it protect you from data loss, but it also allows you to have quick access to your data.
Data cleaning and migration ensures the accuracy, completeness, and consistency of your legacy system. No matter how long it’s stored or how often it’s accessed, your data remains reliable. By transferring data with accuracy, it allows you to have the smallest datasets possible, too. Also, it’s important to note that preserving data integrity is essential to make proper business decisions.
Data redundancy can impact your overall business performance. It can eat up a huge chunk of your server’s storage capacity and affect your data retrieval times. To avoid this, it’s best to have data cleansing and migration at your disposal. This will help you to get rid of bad data, as well as to minimize database size.
Moving your clean data to the cloud can increase productivity in your workplace. This is true if your team needs to work closely. By having your data shared on the cloud, everyone in your team can access files and shared documents. In case of emergencies, they can also log in and work from anywhere provided that they have a reliable internet connection.
Data cleansing and migration can take up a lot of your resources. If you are a small business, you’ll need help in developing a single structure for data storage and sharing. However, you still have the best option to outsource your needs to a reliable project team. This will enable you to save costs and resources while getting your data ready for migration.
Outsourcing your data cleansing and data migration project to a service provider is a smart move. You can access better expertise and robust support in your data management. Also, you can guarantee an error-free migration process with zero risks of data loss from your migration team. Plus, you are assured of the latest technology and tools to secure and optimize your data.
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