Overcoming the Ever Increasing Hurdles of Big Data in Marketing |
Posted: October 6, 2017 |
Big data is becoming common and this due to the benefits that it offers businesses. It solved the limitations that business faced when using complex bi tools. However, it also has some drawbacks. For more people to adopt the big data, it is essential that stakeholders overcome these hurdles. Privacy Concerns The backbone of big data is collecting vast amounts of data. The data could be structured or not. Any person would have the right to worry about how the data they give would be used. The first step in overcoming this hurdle is outlining the data privacy terms. Providing people with choices will enable them to see the benefits. An intelligent person will become comfortable, and they will give their data freely. Sanitizing data is another way of addressing privacy issues. It involves the application of filtering, pruning, conforming, matching, and joining data among other processes. It is also important to invite the owners of the data to review any information collected about them. It is important to ensure that the review process is simple. Also, it should not cost the owners of the data anything because they will be reluctant to come forward. Decreased Accuracy of Big Data Big data involves the collection of large amounts of data for analysis. The practice is due to the belief that the more the data you analyze, the more reliable the results would become. However, this is not usually the case. You can collect a lot of data, but it is irrelevant to you. The results of analyzing lots of irrelevant data would never be helpful for your organization. It is a key drawback that faces big data. One way of improving the accuracy of the results of big data is by using efficient technology. Different choices exist. Each method provides different analysis of large data sets. Sophisticated big data analysis tools will take into account the bigger picture of what you want to do with the collected data. Choosing the appropriate method for performing the analysis will improve the accuracy of the results. If need be, businesses can take this to an extra mile. They can evaluate each data set that they collect. The problem with this is that it will make the data collection process expensive and time-consuming. However, there are different technologies that a firm can use to perform the evaluation. They will make the processes easier and faster. Also, by doing this organization will be sure that they will get accurate results. Systems are not scalable Big data will never be static. It is a guarantee that you will continue accumulating structured and unstructured data effortlessly. The result is outgrowing the databases that you currently have. It is another limitation of big data. Therefore, it creates the need for your system to balloon along with the increased data and user traffic. Also, it is critical that as you balloon the system, you should impact its processing speed negatively. Using a Hadoop cluster will enable you to overcome this problem. The cluster operates on the concept of distributed computing. The concept entails the distribution of tasks between different physical computers. The only thing that the computers share is the network which enables them to communicate. The machines in the Hadoop cluster can either be the masters or slaves. However, there are two masters while the rest are saves. A key benefit of the cluster is its resistance to failure. The system is very scalable. When you want to increase the storage and processing power, all you have to do is add another node (computer) to the cluster. Big data is promising and the limitations it faces have solutions. There is no doubt that many businesses will able to use the system and benefit from it.
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