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Prediction: More Predictive Analysis Apps are on the Way
What’s new in technology for 2015? One of the big predictions for big data is more predictive analysis apps. As the bare metal cloud makes cloud computing faster and more powerful, apps can access data faster, meaning real time reporting can become real time prediction, and apps can learn to take action on the company’s behalf without human intervention. This makes predictive apps faster and more powerful than ever before.
Predictive Analysis Apps for More Industries
More industries are expecting predictive analysis apps to be released in 2015. While retail advertisers and other forward-thinking industries have been working on the promises of analyzing big data quickly and efficiently for real time analytics for some time, now new apps are forthcoming in other industries, as well. Healthcare, consumer goods, education, financial services, governments, and other industries can all expect new predictive analysis apps in the near future.
Predictive Analysis Apps for Marketing
In marketing, the new trend is identifying customers who aren’t likely to visit again, and targeting those one-time customers with incentives to come back and become a long-term customer. Apps like this can identify a visitor to the company’s website and use data on previous visitors to determine if this customer is likely to return to shop or not. If the app determines the customer is likely a one-and-done type, it can initiate advertising to encourage the customer to return, such as offering a step discount on a product of interest to the customer. This gives marketing professionals a new tool to improve customer retention and satisfaction.
Predictive Analysis Apps for Human Resources
Human resources professionals need better tools to identify which job candidates are likely to perform well in the organization. As the move toward online job postings brings in thousands of applications, the ability for machines to skinny down those lists reduces the labor hours of HR tremendously. Expect new, more refined apps for identifying promising job candidates, as well as apps to help HR improve employee retention rates. Some apps will be capable of both.
Predictive Analysis Apps for Finance
As global markets seem to teeter daily between boom and bust, predicting market trends will be a huge step toward making better investment decisions. Big data can be leveraged for real-time predictions on oil booms, a sink in gold prices, and assistance on choosing solid technology investments—just to name a few. Expect apps capable of providing market insight and making recommendations for the best course of action in a given situation. This will allow finance to take advantage of opportunities that they had no way of identifying before.
Predictive Analysis Apps for Municipalities
Orlando faces some unique challenges, including service as the home of one of the largest theme parks in the nation, a popular tourist hotspot, and an occasional evacuation route for hurricane refugees. This municipality has leveraged predictive analysis apps to improve everything from staffing issues to improved visitor services. Likewise, more municipalities will realize the benefits of predictive analysis apps to resolve issues like payroll, planning for high-traffic situations like huge conventions or sports events, and even managing severe weather events.
The year 2015 is expected to be the year that big data breaks out of report mode and begins to service society with efficient, reliable real-time predictive analysis. These analytics tools work faster and more efficiently in the full metal cloud, as opposed to virtual cloud environments where hardware condition is never guaranteed and security is a constant concern. For technology decision makers, Bigstep is the brand of cloud hosting provider that offers the highest-performance public cloud in the world.