Statistical software with prediction models to reduce costs, increase margins and detect business oportunities
Determine the probability of occurrence or non-occurrence of different situations based on the variables you select.
Find and demonstrate with data significant differences among groups.
Link quantitative variables to obtain valuable information.
Carry out experiments to check which tests or versions give the most benefits with the A/B testing methods.
Make the most of the information collected to predict performance and failures and respond in time
- Determine the factors that have the greatest influence on your results
- Confirm or reject hypotheses in a few clicks
- Get insights on the impact of different parameters or variables
- Perform trials, tests, and compare to determine the ones that give the best results.
Potency and versatility from any browser and with unlimited data capacity.
Ease and usability as it is managed from a single and interactive control panel that changes automtically when it detects patterns or deviations in the variables.
ANALYSIS CATEGORIES
Statistical software for predictive analysis and probability calculations fr your company
Find in Síagro any solution for your company: define an objective, generate variables, record data and make decisions in a few clicks.
01 · Lineal regressions
Determine the relations between two or more variables, dependent and independent(s) as well as which factors are the ones that most influence that change. With this, you will be able to explain occurrence phenomena, predict the future, optimize processes, resolve errors and extract valuable information for decision making.
02 · Logistic regression
Calculate the probability of occurrence of an event and find out the relation between characteristics or variables. Logistic regression provides more accurate predictions and, unlike linear regression, the target variable is binary (value is 0 or 1).
03 · Poisson regression
Estimate the probability that a certain number of events will occur in a given time interval. Appropriate for when the dependent variable is a count (number of trucks, number of animals or individuals with a certain characteristic, broken boxes, messages on social networks…) and depends on other independent variables (temperature, day of the week. ..).
04 · ANOVA test
Also known as factor analysis, with ANOVA tests you can find significant differences between groups and detect where better or worse results are generated. Treatments, dosages, product brands, suppliers, product compositions… compare and decide based on evidence.
05 · A/B Test
Parametric and non-parametric hypothesis tests to compare two groups, qq graphs for groups and normality tests. Síagro will suggest performing a non-parametric test if it detects too much deviation from normality.
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Prediction models and much more. Discover the rest of Siagro's statistical analysis classes.
Exploratory Analysis
Normality, boxplots y and so on to detect errors in the databases and know the distribution and relation among variables.
Process improvement
Quality control and variability reduction with advanced methodologies to increase competitiveness.
Data mining
Artificial Intelligence in real-time to analyze huge databases and discover patterns within the samples.
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Sessions of 30 – 45 minutes with our technicians to see how it works and solutions for your company, totally free and without commitment to purchase.