KnowledgeNet Analytics

Transforming data into knowledge and profits

Cleaning

Detect outliers, missing and suspicious data, and transform it into exploitable data

Visualization

Represent big data into graphics and information

Modeling

Transform data and information into deployable predictive models

Machine Learning

Learn from data and automatically create knowledge

Pattern Recognition

Identify patterns in data
... ...

Why KNet Analytics?      

  • Do you need to gain a deep understanding of your processes and investigate specific process patterns?
  • Are you interested in transforming your data into knowledge?
  • Do you want to predict process and equipment issues, enforce quality compliance and avoid giveaways?
  • Do you need a friendly analytics tool to help you optimize your operations?
  • Do you want to create accurate models and deploy them online?

KnowledgeNet Analytics is the perfect tool for you!

Key Benefits      

  • Unlock the true potential of your plants by extracting and setting up valid benchmark values.
  • Increase your operations efficiency and assets availability.
  • Increase your market share by optimizing your systems and improving your competitiveness.
  • Maximize production and minimize waste for increased profitability.
  • Save time and effort during data analysis tasks using intuitive and friendly interfaces.

KNet Analytics Features      

  • Data Connectivity
    • OSIsoft PI
    • Oracle
    • SQL Server
    • MS Excel
    • OLAP
    • XML
  • Data Management
    • Merging
    • Aggregating
    • Stacking
    • Splitting
  • Data Visualization
    • Scatter
    • Line
    • Area
    • Bar
    • Pie
    • Boxplot
    • Radar
    • Polar
    • Custom
  • Data Cleaning
    • Detection
    • Handling missing values and outliers
    • Interpolation
    • Imputation
    • Deletion
  • Data Exploration
    • Summary
    • Correlation
    • Hypothesis Testing
    • Frequency Distribution
  • Data Pre-processing
    • Smoothing
    • Sampling
    • Discretization
    • Normalization
  • Factor Analysis
    • PCA (Principal Component Analysis)
    • Dynamic PCA
    • Kernel PCA
    • PLS (Partial Least Squares)
  • Regressions
    • Linear
    • Rational
    • Polynomial
    • Logistic
    • Neural Network
  • Clustering
    • K-mean
    • DBSCAN
    • Gaussian Mixture Models
    • Hierarchical Clustering
  • Classification
    • Linear Classifier
    • Decision Tree
    • Neural Network
  • Time Series
    • Transformations
    • Models (ARMA, ARMAX, GARCH)
    • Visualization
  • Alarm Analytics
    • Alarms Report
    • Flood Detection
    • Events Clustering
    • Association Rules
  • Advanced Tools
    • DLL Libraries Builder
    • Automatic Workflow Generator
    • Embedded Report Editor
  • And many more!