BOOK A MEETING FR Data Science in Education helps you to have central control over the complete student data for evaluating the performance of the students and take suitable actions. This analysis will help you to make the changes that will benefit the students and will help them in all possible ways to solve their …
Post Type Archives: Use Cases
Better Assessment of Teachers
BOOK A MEETING FR Data Science in Education makes it easy for administrators to keep an eye on the activities and teaching methods of the teachers. This helps them in identifying the most effective teaching methodologies. The data can be analyzed in different ways to draw some meaningful insights that show the strong and weak …
Better Parent involvement
BOOK A MEETING FR The teachers can use a large amount of student data and apply various analytic methods for evaluating the performance of students. This helps to inform their parents about the issues that might affect their child’s performance in different areas such as academics, sports, etc. This information can help the parents to …
Improve Adaptive Learning
BOOK A MEETING FR Every student is unique in his own way and has a different way of learning things. Thus, it becomes quite a difficult task for educational organizations to select the methods to adapt in the classroom that will be best for all the students. Adaptive learning is that the delivery of personalized …
Supply Chain Optimization
BOOK A MEETING FR Throughout the supply chain, analytical models are used to identify demand levels for different marketing strategies, sale prices, locations and many other data points. Ultimately, this predictive analysis dictates the inventory levels needed at different facilities. Data scientists constantly test different scenarios to ensure ideal inventory levels and improve brand reputation …
Predictive Maintenance
BOOK A MEETING FR Rather than a static maintenance schedule that gets updated a few times a year, a predictive analytics model can continue to learn from thousands of performance data points collected from manufacturing plants, suppliers, service providers and actual vehicles on the road. The industry is well on its way to completely customized …
Root Cause Analysis
BOOK A MEETING FR During the manufacturing phase, identifying the root cause(s) of an issue is a lengthy and painstaking process, performed with traditional methods, it’s also incredibly hard. Today’s vehicles are highly complex, and each driver has unique behavior, maintenance actions and driving conditions. Some issues arise only under very unique circumstances that were …
Quality Control
BOOK A MEETING FR Parts manufacturers can capture images of each component as it comes off the assembly line, and automatically run those images through a machine learning model to identify any flaws. Highly-accurate anomaly detection algorithms can detect issues down to a fraction of a millimeter. Predictive analytics can be used to evaluate whether …
Customer Behaviour Analytics
BOOK A MEETING FR Analytics and information management present a significant opportunity for automakers to use quantitative techniques to support the planning of interventions across the customer lifecyle: – Understanding the potential value of different customer segments – Using the knowledge to strategically target new customers whilst maintaining the loyalty of existing customers – Improving …
Marketing Campaigns and Promotions
BOOK A MEETING FR Data analytics takes advantage of the valuable data generated by consumers whenever they purchase items, be it offline or online. This data paints the customer profile, and with the brand loyalty program, these businesses will be able to see patterns in shopping behaviour to which they can leverage on. Knowing what …