How to Get the Most Out of Big Data Streaming for Your Enterprise
Having the ability to process big batches of data is only a part of the picture when it comes to having a dynamic plan for using information. Enterprises also need to have the ability to process big batches of data in the blink of an eye. Making a decision tomorrow about how to use information acquired today is a recipe for getting left behind in the digital economy. The good news is that big data streaming can fill in most of the gaps. What is big data streaming? This remarkable method of acquiring, digesting and using information creates an unending stream of useful data that is dealt with in real-time. It can help enterprises monitor everything from credit card transactions to shared tweets.
The Diverse Capabilities of Big Data Streaming Big data streaming can give an enterprise a clear picture of what is happening with its internal and external digital assets every second of the day. In addition to sculpting an intuitive, user-friendly digital experience in real time, big data streaming can also alert IT security officers to any anomalies that could be signaling security risks. The capabilities of big data streaming include:
- Fraud detection
- Threat detection
- Anticipation of user actions
- Customized searches based on past behaviors
- Recommendations of relevant products or content
The Common Pitfalls of Big Data Streaming Having access to big data holds many opportunities, but failing to extract the full value of your enterprise’s data sources is like leaving money on the table. There are some common pitfalls that enterprises encounter when adopting big data streaming as part of a larger strategy. The first common mistake is based on how acquired data is stored. Data from multiple channels can sometimes be stored in different places. For instance, data from email campaigns would be housed in a different spot than data taken from social media. It is important to have a plan in place for bringing all the data together into a pool to create one cohesive picture. Another common pitfall is collecting less data than is truly needed. Some enterprises try to reduce the amount of data collected by relying on sophisticated algorithms that will project an analysis. The fact of the matter is that no algorithm can replace the value of true data. It is a much better idea to work with a data management company that can provide a platform for being able to handle large amounts of data per second. This will give you the purest data to work with. There is one more common pitfall that enterprises need to be aware of. Creating a system for streaming big data can often create an unexpected resource drain. This is because IT staff and data-management teams can easily become overburdened by the task of maintaining and reporting on an analytics system. The complex nature of big data makes it necessary to bring in additional team members with backgrounds in data science or rely on a third-party data streaming and analytics company that specializes in big data processing to assist with managing the new system.