Predictive analytics solutions for educators and schools

Not all students learn the same way. In order to achieve specific learning goals in higher education and maintain a high level of instruction, educators must take measures to gain a much deeper understanding of the student and the institution. Collect and utilize dynamic information about learners through machine learning and predictive analytics in education for data-driven insights.

Predictive analytics solutions invest in the education sector and empower education professionals to make continuous curriculum improvements, monitor student performance, and to a greater extent, make the institution more competitive.

Education analytics use cases

Solutions - Education Dashboard - School Profile

STUDENT MANAGEMENT

STUDENT
PROGRESSION

SENTIMENT
ANALYSIS

DROPOUT
RATE ANALYTICS

STUDENT
RETENTION

STAFF MANAGEMENT

TEACHING
EFFECTIVENESS

CURRICULUM
ENHANCEMENT

TEACHER
RETIREMENT ANALYSIS

HIGH PERFORMER
ANALYSIS

SALES & MARKETING

STUDENT
ACQUISITION

PARTNER
ANALYSIS

CHANNEL
ANALYTICS

CAMPAIGN
MANAGEMENT

SCHOOL MANAGEMENT

PROCESS
OPTIMIZATION

BUDGET
MANAGEMENT

CONTINUOUS
MONITORING

SCHOOL
PROFILE

Education solutions at a glance

ANALANCE SOLUTION :

Identify patterns from student data and use the clustering method to segment students by their learning ability, style, preference, and performance. Get insights into students’ strengths and weaknesses to enable educators to create an effective learning environment to maximize student learning experience and boost engagement.

ANALANCE SOLUTION :

Get profound insights into the potential academic performance of a student based on certain parameters. Predict those who are likely to be high performers and those who are at-risk of dropping out. Enable educators to take precautionary measures by devising a study plan to proactively help the student improve.

ANALANCE SOLUTION :

Predict course effectiveness by determining factors contributing to drop out rates. Analyze student historical data and external factors like employment trends to identify areas of focus. Enhance curriculum and improve learning materials to personalize and design intelligent courses to bring the best out of every student.

ANALANCE SOLUTION :

Identify patterns from educational and behavioral data to pinpoint the factors that contribute the most to high academic performance and general student effectiveness. Insights gathered can help educators evaluate current educational practices and determine the areas that are working or those that need improvement.

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Why enable predictive analytics?

ADVANCED AND AGNOSTIC

Optimize decision-making and business processes with one analytics platform that scales from BI to Advanced Analytics. Reduce costs and the security risks of having multiple solutions.

PREDICTIVE AND ACTIONABLE

Out-of-the-box ML algorithms make it easy to explore data. Get visibility into future outcomes and extract valuable recommendations to inform business strategies.

AUTOMATED AND EASY

A simplified UI allows citizen data scientists to model and visualize data effortlessly. Discover patterns and find opportunities in your data using smart tools with built-in ML capabilities.

ENABLES AND EMPOWERS

Change how executives, analytics leaders, business users, and data scientists work with data. Reduce long hours and repetitive work that’s prone to error.

Analance empowers organizations with data analytics for better storytelling and predictive insights that help scale business outcomes.