Advanced Analytics empowers organizations to move beyond understanding the past and present — enabling them to predict future outcomes, optimize decisions, and drive strategic advantage.
At Frequent Research, we combine statistical modeling, machine learning techniques, and domain expertise to deliver predictive and prescriptive intelligence that supports high-impact decision-making.
Predictive analytics leverages historical data, statistical modelling, and machine learning algorithms to forecast future events and trends. We develop robust predictive models to anticipate: • Customer behaviour and churn • Sales and revenue trends • Market demand fluctuations • Risk exposure and fraud detection • Equipment or system failures These models enable proactive decision-making and forward-looking strategic planning.
Prescriptive analytics recommends optimal actions to achieve desired outcomes. Using optimization algorithms and mathematical modelling, we evaluate multiple scenarios while considering objectives, constraints, and business rules. This enables organizations to: • Optimize pricing strategies • Allocate resources efficiently • Improve supply chain performance • Maximize profitability • Reduce operational risk Our prescriptive models deliver clear, actionable recommendations that enhance strategic execution.
We analyze unstructured textual data such as: • Customer reviews • Survey responses • Social media content • Emails and feedback logs Using Natural Language Processing (NLP) and sentiment analysis techniques, we extract: • Customer sentiment trends • Emerging themes and topics • Brand perception insights • Risk signals and reputational indicators Text analytics adds qualitative depth to structured data insights.
Our data mining solutions uncover hidden patterns and relationships within large datasets using techniques such as: • Clustering • Classification • Association rule analysis • Anomaly detection Applications include: • Customer segmentation • Market basket analysis • Fraud detection • Churn prediction • Behavioural modelling Data mining enables discovery-driven insights beyond traditional analysis.
We apply geospatial and location-based analytical techniques to understand spatial relationships and geographic patterns. Our spatial analytics services include: • Geospatial mapping and visualization • Location intelligence modelling • Spatial clustering • Territory and logistics optimization These solutions support industries such as urban planning, transportation, retail expansion, environmental monitoring, and logistics management.
