How to Simplify Data Management Using Analytics

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Your organization gathers data for a number of reasons. Its most basic function is to help you operate efficiently and achieve your goals. Today’s technological advances have provided you with such an abundance of information that it can be difficult to tell where to start.

Simplifying your data management makes it easier for you to use this information. It also reduces your data storage costs, development, and administration. Let’s explore how the right analytic tools can help simplify data management to give you the information you need when you need it.

Understand Data Patterns

The key to simplified data management lies in having a thorough understanding of data patterns that are specific to your organization. Analytics help you identify patterns within your data. Through these patterns, your IT department is able to see which data is highest priority. They can respond and create appropriate internal policies around this data. This provides higher levels of data security, increases efficiency, eliminates data duplication, and improves workflows.

Organize Your Data

Analytics can also help you efficiently organize your data. This results in faster, simplified data access. It also eliminates any conflicting priorities between different applications and users. As a result, you can identify data that is outdated or low priority. By archiving this data, you save on storage costs. System performance and backup times are also greatly improved.

Robust analytics tools tell you which data is most in need of broad access so that you can ensure that it is readily available. This gives your users a seamless data experience. Zero impact, instant access. It does not get much better than that.

Gain Insight into Data Volumes

Data storage is a high cost item for your business. These costs will only become higher as your company grows. So, it is essential that you have a solid understanding of how you are currently using your data. You need to leverage your resources. You need to minimize your data volumes, or at least establish and automate policies that move lower priority data to less costly data archives.

In doing this, you free up your primary storage for what has the most value. The best way to identify the data that can and should be archived is through data analytics. Measuring what is accessed and modified the least, for example.

Data analytics guides your data lifecycle management. Add careful integration of regulatory compliance, and the data you analyze becomes pivotal in informing your decisions. Deletion policies, as well as what the impact of moving data to archived storage, will be an easy determination.

Better Data Management Means Better Efficiency

You know that you need to improve the efficiency of your data management process. The proper data analytics tools allow you to do so.  ShareArchiver offers you easy-to-understand data visuzalization. We help you identify areas where performance can be improved and inefficiencies eliminated. Our goal is to simplify your data and lower your data storage costs.

Our team of experts provides you with the ability to more easily interpret and act upon your internal data management patterns. See for yourself, and get a free trial of ShareArchiver today.