Data Management & the Challenges Involved in it

Data management, as we all know, is the practice of gathering, storing, and using data securely and effectively. The main goal of data management is to help organizations, people, and all connected devices optimize the use of data within the Set guidelines, policies, and regulations.

Broadly speaking, data management is a wider area that involves different tasks, techniques, procedures, and practices. In this article, we are going to have an in-depth insight into all of these.

What is Included in Data Management?

Managing data in an organization is a challenging task that is categorized into many sub-tasks. The data administrators need to deal with wide-ranging responsibilities that include but are not limited to the following. 

• Gather data from multiple channels and sources.
• Store data in an organized manner across Cloud and on-premise.
• Ensure high availability of data to employees and end-users.
• Develop disaster recovery plans and strategies.
• Utilize data across a variety of apps, algorithms, and analytics.
• Ensure that the best data security and privacy practices are in place.
• Archive and dispose of data in accordance with compliance guidelines.  

Data management techniques involve using effective data catalog and data lineage tools. While data catalog tools ensure that data analysts can find and process data quickly from multiple sources, the data lineage technique uncovers the data journey from source to destination.  

Collecting large data silos and processing them effectively is not an easy task. Numerous challenges arise from the faster accumulation and rising proliferation of data. The speed at which data is growing is alarming. Some of the major challenges that organizations face while managing their data management strategy include:

Lack of data insight

Large data silos from an increasing variety of sources including IoT (Internet of Things), smart devices, video cameras, sensors, etc. are collected and stored comprehensively. But if the organization has no idea what data is there, where it comes from, and how it is being used, the entire data is useless.  

Difficulty complying with changing data needs

Data compliance regulations are complicated and they change faster than expected. Organizations must be able to review their data easily and identify challenges that come in the way of existing and updated requirements. 

The constant need to store data securely

With technological advancements, organizations use multiple storage systems for data storage. These systems vary from unstructured data lakes to organized data warehouses. Data administrators need a defined way to transform data easily from the original shape and format. 

So, data management is complex, the data administrators need to be well familiar with the industry standards, guidelines, and practices for managing data effectively.