We turn data into information, information into insights, and insights into better
decision-making and valuable game-changing strategies.
Advanced Analytics
In today’s competitive market, the ability to analyse large datasets has become essential for businesses to attain or maintain competitiveness. As conventional methods do not have the power to deliver the needed insights, increasing number of applications now use combinations of signal processing, machine learning and mathematical science techniques to inform better decision making, optimise operational efficiencies and continuously improve performances.
Descriptive analytics uses data aggregation, signal processing and business intelligence tools to explain the past and answer questions on what has happened –foundational.
Diagnostic analytics use data mining, cluster analysis, trend analysis and root cause analysis to answer question on why something happened and the relationships – operational.
Predictive analytics use various signal processing, statistical models, machine learning techniques and business rules to provide insight into what could happen in the future – insightful.
Prescriptive analytics uses mathematical and heuristic optimisation models and simulation algorithms to advice on possible actions and outcomes – strategic.
Innotelligent can help you look more closely at your data (video, images, texts) and transform it into meaningful real-time information on operational efficiencies, customer preferences, segmentation and behaviour trends. Advanced analytics and automated outputs from signal processing and fast deep learning model inferencing can enable businesses to accelerate investigations, attain situation awareness and derive operational intelligence.