The Do's And Don'ts Of Big Data


It may sound cliché but Big Data is getting bigger in the coming months and years to come. Just as 2017 is fast approaching, it is predicted and expected that Big Data will have a more significant role in various industries, especially when it comes to analytics and big decisions. However, the advantages of big data can only be fully utilized if it is managed in a structured way. And since it is in its early stages of execution in a lot of companies and organizations, these tips can help you benefit more from it.

The Do's of Big Data

When you begin to utilize big data, never isolate one unit from another because all units of your business are dependent of each other. Thus, in order to get better insight, involve all units so you can fully leverage big data to to gather huge information about customer behaviors, processes, and many more.

A very big concern for companies and organization when they are thinking of utilizing big data is the infrastructure and storage. Big data is huge using petabytes; thus, it will be a challenge to manage and to store it. One of the best solutions for storage is the use of cloud facilities.

As you move towards big data, it does not mean that you have to abandon traditional data sources. It will greatly benefit you of you use your big data analytics in conjunction with your traditional data warehouse, which includes how your company or business works. Thus, if you are able to compare the results of your big data against the standards of your core data, you'll be able to make more informed decisions.

The Dont's of Big Data

Since big data is huge, using a single approach to analytics is a disaster. Moreover, there are already new technologies emerging to handle big data. The best way to know what approaches are available is to "shop around" and experiment until you find the perfect fit for your needs.

As mentioned above, infrastructure and storage are very critical components of big data. Therefore, if you have not the proper infrastructure and training to manage big data yet, don't rush and adopt its use. It will be a bigger and worse disaster than using a single approach to handle big data.

Lastly, don't forget security. Remember that you are dealing with huge volumes of information that can make or break your business. Planning big data security also involves how to maintain the same level of security throughout.

© 2024 University Herald, All rights reserved. Do not reproduce without permission.
Join the Discussion
Real Time Analytics