Advanced Analytics
Predictive Analytics Software for Greater Insight
Create a Self-Learning Supply Chain
DELMIA Quintiq Advanced Analytics complements your knowledge and experience to perform complex calculations on large volumes of data to identify patterns and deliver insights, predictions, and recommendations. Advanced analytics technology turns information overload into an information advantage allowing for a deeper understanding of a business and the landscape in which it operates. The quality of plans and schedules will increase as the software learns more about your business through unique self-learning algorithms. It enables you to achieve the so-called Self-Learning Supply Chain.
Key Benefits:
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Improves revenue management: Predict your customers’ behavior and market trends to prescribe optimal prices for new and existing products and services. Maximize your revenue by getting an accurate reading of price sensitivity.
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Instills real-time optimization: Advanced analytics works in real time to allow you to identify and respond to changing circumstances and maintain optimal plans. The software plots a recommended course of action that maximizes your profitability, customer satisfaction, and efficiency levels.
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Advances data interpretation: DELMIA Quintiq solution analyzes your data and converts it into knowledge. Data management helps reveal insights hidden in your database. The software provides up-to-date and accurate estimates of setup times, task durations, service times, travel times, and any other relevant factors you can derive from your data.
Beyond the flexibility of the software, the DELMIA Quintiq business consultants provided us with realistic advice, advanced mathematical solutions and challenged us all the time. This was key to the successful implementation of the DELMIA Quintiq system.
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FAQ About Advanced Analytics Solutions & Tools
Advanced analytics is a term used to describe the use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management to drive decisions and actions. There are four main types of advanced analytics:
- descriptive analytics,
- predictive analytics,
- prescriptive analytics,
- cognitive analytics.
Each type of analytics uses different techniques and methods to analyze data and provide insights.
Employing Advanced analytics tool is a potent method for extracting insights and discovering data patterns. It finds applications across various tasks, including forecasting customer behavior, enhancing business operations, and identifying potential opportunities. Advanced analytics software also proves invaluable for tasks like fraud detection, risk management, and predictive maintenance. By leveraging advanced analytics, organizations can enhance decision-making, elevate customer experience, and boost operational efficiency. Ultimately, it empowers organizations to harness data-driven insights for transformative outcomes.
Advanced analytics is the use of sophisticated techniques and technologies to analyze data and identify patterns and correlations. This includes techniques such as machine learning, artificial intelligence, natural language processing, and predictive analytics.
Basic analytics, on the other hand, is the use of simpler methods such as descriptive and inferential statistics to analyze data. Advanced analytics provides insights into the data that basic analytics cannot, allowing for more accurate predictions and decisions.
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