Types of problem suited to big data analysis

Types of problem suited to big data analysis

Some problems that are suited to big data analysis:  

Data Quality - The analytics algorithms and artificial intelligence applications built on big data can generate bad results when data quality  issues creep into big data analysis. 

Data security-  is a challenge of big data where organizations need to ensure that their data is protected against unauthorized access, breaches. Data security and protection are overlooked. More data means more opportunity for security breaches.

constant data changes -  Implementing the infrastructure and management of data cannot be a set-and-forget task. The nature of data is that it’s constantly changing. Your customers details and orders are always changing, as well as their interactions with your company.

Data integration- consists of taking data from various sources and combining it to create valuable and usable information. 

Accessibility-  Sometimes, companies silo data to one person or one department. Not only does this put immense responsibility on a select few, but it also creates a lack of accessibility throughout the organisation in departments where the data can be of use to provide a positive impact. Data silos directly inhibit the benefits of collecting data in the first place.