Challenges that Arise When Working With Big Data

By Naveen Joshi

Content and data management through the efficient use of big data allows critical insights to be digested more effectively and easily with the help of comprehensive data visualization.

We live in an age where information in any form is valued highly. The survival of an organization solely depends on its data’s applicability and the insights generated from it. It isn’t about just collecting enough data but also about managing and using it properly. Ultimate;ly, big data analytics serves as an aid to organizations by providing them with a way to make sense of all the data collected. However, proper content and data management is a complicated task that needs to be carried out before performing any kind of analysis. It requires scalability, appropriate tools and processes that must work in synchronicity. Big data can be an indispensable tool for organizations, but this can only be true if firms understand and address all the challenges of working with big data.

CHALLENGES IN BIG DATA IMPACTING CONTENT AND DATA MANAGEMENT

To unleash the potential of advanced visualization that will allow organizations to analyze multiple information sources and discover hidden patterns and trends, certain challenges in utilizing big data should be addressed.

GATHERING CORRECT DATA

The most crucial challenge in addressing big data challenges is to understand what data is resourceful, reliable and relevant. With the spur of the digital revolution, infinite quantities of data are floating around. Around 1000 petabytes, or to put it into a clearer perspective, about 500 billion pages of printed text of data are generated daily. From this massive data set, strategically and judiciously extracting data is vital for organizational success. Therefore, the first step to collecting correct data is to hire a data specialist. They will ensure that the collected data is useful and can be translated into actionable information leading to efficient data and content management.

SAFEGUARDING AGAINST DATA LOSS

Another major challenge when using big data is the looming threat of data loss. An organization can face severe repercussions on the grounds of financial and reputation standing due to the loss of critical data. Therefore, having a solid data governance policy will ensure that access to sensitive information is strictly monitored and controlled by authorized personnel.

STORING AND MANAGING

With so much data around us, storing and managing it effectively is another inherent critical issue of using big data. Reserving massive volumes of organized, secure and usable data needs significant resource allocation. To solve this problem, cloud-based data and content management solutions were created. It will reduce the technological and financial outlay for data storage. Also, it will allow authorized personnel to access information from anywhere.

In this day and age, where data has become a weapon for organizations to win against their competitors, using it effectively and churning useful information is more important than just collecting it. These issues can be tackled using big data; however, the challenges arising from it should be addressed first. Big data is the weapon firms can utilize for efficient data and content management. It will provide a way to manage, analyze and extract value from large and complex data sets and drive organizational success.

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