Does your organization need to improve data management and security? If your data is poorly managed and secured, you’re likely operating in a manner that will cause inefficiencies and create data vulnerabilities.
These vulnerabilities can lead to data breaches causing sensitive data to be compromised or corrupted.
These can also lead to lost customers, reduced revenue, and a damaged business reputation as well as legal ramifications for failing to meet any industry-specific legal requirements.
Additionally, if your data is not reliably managed, it may be difficult for employees to identify the data required to perform their jobs efficiently.
Coeo understands how important reliable data management and security are and has helped thousands of organizations improve their data management and security to avoid data breaches and prevent sensitive data from being compromised and corrupted.
By the end of this article, you will understand what data management is, how AI can improve data management, and whether using AI to improve data management is a good decision for your organization.
What is data management?
Data is extremely important for nearly all businesses. All organizations have some form of company data or data on customers, patients, or suppliers.
It is important to reliably manage this data so it does not become lost or compromised by unauthorized users. Data management processes involve many steps including:
Data intake and storage
The first step in managing data efficiently is to collect, process, validate, and store the data. It is important to store the data based on characteristics to ensure it is easy to find when needed.
Data quality control
Data management strategy also enables you to set quality standards to ensure data is downloaded and stored efficiently and with high quality.
Strong data security
Lastly, data management processes must ensure that data is secure. Data must adhere to privacy and security standards within your industry making reliable data security important to prioritize.
If you would like to speak with our team to learn more about data management or ask any questions you may have you can schedule an appointment.
How to automate data management with AI technology
AI technology can help your organization manage your data more efficiently.
If your organization has an IT team that is focused on other business initiatives or does not have an IT team at all, it can be difficult to manage your data efficiently which can lead to data being misplaced or vulnerable to unauthorized users.
AI technology can help automate your data management processes so your organization does not have to manage the data manually. Some additional ways that AI technology can help manage your data include:
Automated data cleansing
AI technology can help automatically clean the data within your network. Automated data cleansing can repair incorrect or incomplete data automatically.
AI technology can also identify and delete duplicate data. This enables you to increase storage in your network by deleting duplicate data so you can store more data without having to pay for increased data storage.
Automated data catalog
Manually creating a data catalog by storing and labeling all data can be labor-intensive. If your organization does not have a person in this role, you may not be able to manage the data coming in preventing your organization from storing and labeling all of it to create an accurate catalog.
AI technology can help you create a data catalog by automatically storing, labeling, identifying, and quantifying your data so it can be easily found.
Data visualization
Data can be difficult to track when there is so much of it within your network. Using AI technology, you can create data graphs and charts so you have an overview of what is in your network without having to manually go through the data and create these charts.
Is using AI technology to improve data management a good decision for your organization?
Now you understand what data management is and how to automate data management with AI technology. However, it is also important to understand whether using AI technology to improve data management is a good decision for your organization.
If you have a lot of unorganized data and it is difficult for employees to find the data they are looking for, using AI technology to improve data management might be a good solution for your organization.
Additionally, AI technology can be beneficial to your organization if your network has significant duplicate data that needs to be cleaned up.
If your organization does not have a specific person identified to manually clean up, manage, and maintain data, using AI to improve data management may be beneficial.
Lastly, if your organization is looking to report on the data in your network with charts or graphs without having to do so manually, AI technology may be a good solution to improve data management.
However, if your organization already has resources that manage your data, using AI technology to improve data management may not be necessary.
Determining whether AI is a good solution to improve data management
Now you understand what data management is, how to automate it using AI, and whether using AI technology to improve data management is a good solution for your organization. This will help you determine whether using AI to help with data management is right for your organization.
Organizations can’t operate effectively with poor data management which results in unorganized data and potential data vulnerabilities. It can be difficult to identify data in your network and perform jobs efficiently when data is not managed properly.
Additionally, data vulnerabilities can occur and lead to data breaches that result in sensitive data being corrupted or compromised. This can lead to a damaged business reputation and lost customers and revenue.
Coeo understands how important reliable data management is and has helped thousands of organizations properly manage and secure their data to avoid data vulnerabilities and breaches that cause sensitive data to be compromised and corrupted.
We want you to understand what data management is and how AI can help improve it so you can determine whether it is the right solution for your organization.
If you would like to speak with our team to learn more about data management or ask any questions you may have you can schedule an appointment.
Now that you understand what data management is and how to automate it with AI technology, check out this article to learn about hybrid data security and whether it could be beneficial for your organization:
