Big Data Analytics Challenges

Big data analytics have a wide range of benefits, though use of it often creates different challenges. Here are the key challenges organisations face when working with big data:

Key Big Data Analytics Challenges

Data Accessibility

Storage and processing of larger amounts of data become more complicated. Big data should be stored and maintained appropriately to confirm that it can be used easily by less experienced data scientists and analysts.

Maintenance of Data Quality

High volumes of data are emerging from different sources and in different formats. For big data management it requires substantial time, effort, and resources to maintain it accurately.

Data Security

There are a variety of security challenges because of the complexity of big data systems. Addressing security concerns in an effective way to handle a big data system can be a very difficult task.

Selecting the Right Tools

There are many Big Data analytics tools and platforms available. Selecting the right one can be confusing. Therefore organisations must be aware of how to pick the best tool that can be beneficial with users' needs and infrastructure.

Lack of Proper Understanding of Massive Data

Organisations fail in their Big Data initiatives due to insufficient understanding. Employees might not have a clear idea about what data is, its storage, processing, importance, and sources — nor understand the importance of knowledge storage. As a consequence, data cannot be retrieved easily at the moment of requirement. Within the organisation there is often a scarcity of internal analytics skills, and the cost of hiring experienced data scientists and engineers is much higher.