Learning How to Use Big Data Analytics With Apache Spark

how to use big data

Learning How to Use Big Data Analytics With Apache Spark

When we talk of how to use big data, many companies often think in terms of its potential as a business solution or even a new business opportunity. Although there are a great many exciting benefits that come with implementing big data analytics in your company, it also has some equally intriguing limitations. One of these limitations centers on the way in which big data analytics can potentially replace current business intelligence (BI) solutions. In short, BI solutions typically deal primarily with gathering information, organizing and analyzing that information, presenting that information in a format that is easy to understood by the various stakeholders within your organization, and then making suggestions about how to best make use of that information to serve your organization’s needs.

Although it is likely that in the future BIS solutions will play an important role in assisting your organization with managing and utilizing big data, today’s data analysts have little to no experience in doing so. As a result, many data analysts find themselves either completely unqualified to implement BIS or at least limited in their ability to do so. Because of this, many organizations find themselves forced to hire data scientists, programmers, and other experts to piece together the various pieces of the puzzle that make up BIS. This often results in a substantial increase in the cost of hiring the various specialists required to make use of the BIS tools.

Fortunately, there is a solution to this problem. While it is still not clear how to apply big data analytics to the business environment, social media marketing is beginning to remedy this issue on several different levels. Social media marketing can help you leverage big data by making it easy to tap into previously hard-to-obtain information about your target customers. By allowing social media users to be able to “socialize” with your organization, you are given the opportunity to interact with people who are more likely to want to engage with your products and services. Ultimately, this can be very beneficial to your business because it can lead to increased customer loyalty, which can in turn lead to repeat customers.

One of the key benefits of using social media to analyze and gather big data analytics is the increased efficiency that comes with collecting and disseminating information. Because of the way that social media sites work, it is nearly impossible for an analyst to manually analyze every post and update on a daily basis. Instead, analysts will have the capability of knowing what messages to release and how often. This can take a tremendous amount of time and money to manually do, but in the end it may save an analyst hundreds of hours per year. However, because of the volume of posts and updates that must be analyzed and collected, analysts may use ad-hoc tools and software tools to automate the process.

Another key benefit of integrating BIS with social media marketing is that social media marketing can provide the analytical insight that is necessary in order to make sound strategic decisions about your business. Once an analyst has analyzed the data, he or she can determine whether or not the marketing strategy is working. If it is not working, then the analyst may consider changing course and move into an area that is more productive. For example, if a social media marketing program is causing too many losses in a certain department, then it may be time to implement a new BIS initiative that will increase customer sales and boost profitability.

In order to utilize big data analytics effectively, it is important that analysts create a detailed plan for how to use the social media marketing initiative to its fullest extent. Since each person on social media is likely to have different needs, it is crucial to tailor the BIS program to meet those needs. Analysts may need to focus on creating content specific to a particular segment, create high-quality content and then target the audience through the advertising that they have already developed or are implementing. Doing so will help the social media marketing firm stay at the forefront of the customer’s mind when they are thinking about purchases.

Since the social media initiative is a very new industry, companies that are involved in the process must develop their own processes in order to track their results accurately. Many organizations have already begun using techniques such as artificial intelligence, self-learning and decision trees in order to make it easier for them to maximize the productivity of their BIS teams. However, the artificial intelligence that was initially developed to serve as a sort of a training platform for the BIS teams has enabled them to teach machines how to recognize and respond to various factors that affect the bottom line.

In addition, because of the large amount of data that can be processed through BIS, the big data analytics firm can develop a self-updating, high-quality analysis system that will continue to help the organization no matter what issues arise over the course of time. As a result, no matter how a company makes use of big data analytics, the experts that are working on the project will be able to help the organization improve in all areas. From increasing customer satisfaction levels to increasing profitability, there is no other entity in the business that the experts from this particular BIS firm can turn to than the data that is accumulated by the BIS team.