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Growing attrition rate can become a serious concern for employers who may want to know quick ways of improving employee satisfaction level. Hiring a data evaluator to carry out the task is one way of dealing with it. A simpler way, however is to kick-start the process with the help of IBM’s Watson Analytics. Whether employees are looking for better growth opportunities, higher compensation or flexible work timings, Watson Analytics offers all the foresight based on the shared data.
You may have heard of Watson Analytics before. You might have even assumed that it is of no use to those in the education or healthcare industry. Guess what, this cloud analytics program, which has revolutionized the industry in less than two years of its launch is of relevance to all of us. No matter which industry you take into consideration – finance, human resources, healthcare or education, people work around heaps of data and Watson Analytics helps simplify it (without relying on any professional to do it!).
What does Watson Analytics do?
Let’s make it simple. The cloud analytics program relies on some information, which once shared is evaluated to deliver predictive analysis. So whether one wants to know about growing their customer base, retaining their employees or introducing a certain product or service, Watson Analytics offers data-backed solutions for all their queries.
Watson Analytics - A game changer for the education sector?
Did you know Watson Analytics is the only discovery platform powered by cognitive capabilities, offering predictive analysis in minutes? It takes you straight to the data that is important, filtering out everything irrelevant. Take the education sector for example. A professional from the industry may have several concerns. Reducing student drop-out rates, identifying students with a dropout risk threat and offering improved service at reduced cost may be a few. Watson Analytics can help him/her get straight to the answers (in a matter of minutes) by decluttering all the unstructured data.
Use the available student data to identify which students are likely to drop-out of school this year and why. Once Watson Analytics offers data-backed insights all that’s left to do is implement the suggestions for improving the situation.
Technology has revolutionized the education industry and the next few years are only going to witness more of such innovations. IBM had predicted that schools and colleges across the globe would rely on cloud-based cognitive systems for data collection and analysis. And that’s what is happening currently. Did IBM rely on Watson Analytics for the prediction? We think so!
Bridging the gap
Today, universities are using Watson Analytics to offer a personalized learning experience to its students, offering custom solutions based on the needs of each student. Using Watson Analytics, schools offer solutions to student problems such as –
Student Problem: Cannot attend day school?
School Solution: No problem, opt for distance learning courses.
Student Problem: Need a guide to help me with course work and assignments?
School Solution: Let the personal academic advisor help you.
Watson Analytics can also be used by teachers to understand the learning style preferred by their students. It can also be used to determine effective ways of teaching them accordingly. Imagine a child dreaming of becoming an astronaut, but struggling to understand physics. The teacher can now use IBM’s cognitive system to reduce the gap between the student’s passion for growing up to become an astronaut and his/her lack of understanding the subject through standard teaching methods. That’s the kind of impact IBM’s Watson Analytics is creating in student lives.
IBM is currently working with several schools in the US to help both teachers and students create an effective learning experience. Watson Analytics is helping students by using student and social data to drive decisions about improving student performance and keeping high-risk students on the right path. Watson Analytics is truly empowering the lives of the students.