Data mining techniques to analyze large amounts of data and discover patterns
Information overload complicates decision making. With Síagro software, you will be able to apply data mining techniques in less time and optimize your company’s activities by obtaining valuable reports.
Artificial Intelligence (AI) techniques to analyze large databases automatically and without calculation any formula
Find common characteristics among the observations
Detect recurring events to locate potential bugs or system improvements
Create groups of similar individuals (segmentation) for further analysis and quality control
Analyze relations between parameters and variables
Reduce data dimensionality and accelerate decision making
Predict the behavior of individuals or groups of these
Classify the information taking into account the essential
Artificial intelligence in real-time with an innovative software
Discover patterns and recurring events in a few clicks to detect system improvements and failures.
Principal Component Analysis
A multivariate analysis that represents the original data (individuals and variables) in a lower dimension than the original without losing relevant information.
Clúster analysis: Hierarchical
Clúster analysis· K means
Get deep insights from data instantly and easily with Síagro
Innovative and scalable statistical software to make the process of making decisions more secure and effective.
Other types of análisis
Statistical Process Control
Quality control. Verify the impact of a change for the process and if there are any special causes of variability.
Exploratory Data Analysis
Descriptive charts to know the behaviour and distribution of your variables, relations, outliers …
Determine probabilities and use innovative techniques to predict the occurrence of certain events.
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