ONE STOP SOLUTION FOR ALL YOUR AI ANALYTICS NEED.


Mateverse understands that a trained Predictive Analytics model or a Dashboard full of myriad KPI's is just the tip of the iceberg for all the hard work that goes behind it.

Along with multiple automated features, the platform comes packed with a complete BI suite capability.


Data Experts spend 80% of their time in Data Preprocessing. Mateverse sets aside this difficulty, from reducing the time spent to multiple times lesser, even when opting for customization along the way.


Visual Interface for Database Operation & SQL
  • Database Table Join
  • Data Select: Over 100 function for various types of Data Select
  • Create New Tables
  • Bulk Operations
  • Complex Grouping

Automatic Missing-Value Treatment(ML-based/patent pending)
It analyses the neighboring values and underlying pattern and various statistical distributions in the data to predict the missing values, which significantly improves the quality of the predictive model

Automatic Outlier Detection
Both Supervised and Unsupervised (ML-Based) The family of algorithms automatically identifies the latent and dominant distribution viz., Binomial, Bernoulli, Poisson and many more, even the ones which are starting to emerge in the dataset and then scores each sample/row on its susceptibility to being an outlier. useful in; Detecting Fraud in the financial transactions data before it becomes mammoth.

Finding the perfect fit for a model, requires a professional to run many iterations and narrow down to the most accurate, and least biased models. Mateverse handles the modelling part by running a proprietary Meta-Engine in the background, which tried to understand the data like a Data Scientist would approach it to hand out the best fits from them


Supports almost ALL ML Algorithm Libraries
Numpy, Pandas, Seaborn, SciKit-LEARN, SciPy, Tensorflow, Keras, Matlib Plot, ARIMA, XG-Boost, LightGBM.

Automated ML
  • Classification
  • Regression
  • Time-series Analytics (ARIMA, Prophet, XG-Boost, Holt-Winter, and LSTM Based Regression)

Feature Selection
  • Automated Feature Selection
  • Automated Hybrid Feature Synthesis
  • Assisted Feature Select in the Manual Mode

Multiple Accuracy Calculation Methods - inbuilt
Accuracy of a model should not be taken at face-value. Run the model through Mateverse’s in-built and popular Accuracy Calculation Methods to ensure accuracy in any environment

Model Interpretation
  • White boxing the black box
  • Complex confusion metric
  • Multiple graphs to understand the training process
  • Hyper-parameters used

ML Ensembles
Ensemble Models combines several sub models into a single, most efficient predictive model. This technique of ensembling is used to:
  • Avoid biases in the training processes
  • Tackle biases and improve the end prediction

Real-Time Dashboards
Mateverse’s Real-Time Dashboard updates itself with current data, which leads to quicker decision making through data monitoring. They come in handy for:
  • Inventory Management
  • Logistics Management
  • Stock Markets
  • Credit Modelling
  • Sales Monitoring and Forecasting
  • Supply Chain Analytics

Visualization
Visualizations help put derived insights into comprehensible formats. Only then can it be read easily and achieve the desired impact.
  • Mateverse has over 90 different types of graphs and other visuals for:
    • Numerical Data
    • Categorical Data
    • Time series
    • Geographical data
    • Pivot tables
    • Chord Diagrams

We understand that Data Science and Complex Business analytics are hard subjects and requires years of efforts and study, which sometimes can get overwhelming to even the most experienced ones.


Database and Data Table Operations
  • Database Table Join
  • Data Select: Over 100 function for various types of Data Select
  • Create New Tables
  • Bulk Operations
  • Complex Grouping

Versioning
To facilitate and promote constant experimentation in the team and to not disturb the work of others in the team, Data Analysts/ Data Scientist get to fork the dataset from any screen that they’re working on to a new version which is easily switchable and accessible to other team members.

Machine Learning
  • Complex Confusion Matrix
  • Feature Importance
  • Model optimization method
  • Feature Engineering

Advanced Business Rules Engine
  • Programmatic Analytics

Consumption

Mateverse cuts down any effort towards converting the files while uploading the Excel files, as all common database formats are supported by Mateverse.

Real-Time Dashboards

Mateverse’s Real-Time Dashboard updates itself with current data, which leads to quicker decision making through data monitoring. They come in handy for:
  • Inventory Management
  • Logistics Management
  • Stock Markets
  • Credit Modelling
  • Sales Monitoring and Forecasting
  • Supply Chain Analytics
Visualization

Visualizations help put derived insights into comprehensible formats. Only then can it be read easily and achieve the desired impact. Mateverse has over 50 different types of graphs and other visuals for:
  • Numerical Data
  • Categorical Data
  • Time series
  • Geographical data
  • Pivot tables
  • Chord Diagrams


Programmatic Analytics

Programmatic Analytics unleashes the full potential of Data Science performed at scale, where the market-wide Analytics can be productized to produce results and adapt to varying environments automatically. For the first time in the ML industry, decision makers can look at the metrics that matter, rather than watching hundreds of KPIs on the Dashboard which are all equally confusing. We have designed the infrastructure in a way that these models can work together as a single unit. Some of the use cases of Programmatic Analytics are:
  • Marketing analysis
  • Predicting Sales
  • Site Clicks
  • Demand
Model accessibility

  • Use APIs
  • On Platform
  • Download Weights

Data Preprocessing

Visual Interface for Database Operation & SQL

  • Database Table Join: Joining different tables in different databases is done in just a drag of a mouse
  • Data Select: Over 100 function for various types of Data Select
    • Mathematical
    • Heuristic rules
    • Sorting
  • Create New Tables: This feature lets users create tables inside the platform by importing new files
  • Users can also upload a .csv or .xls, and merge it with the DB
  • Bulk Operations : Mateverse supports editing tables inside the platform, where a bulk of operations such as, Deletion, Insertion, Replacement etc., can be performed on the tables.
  • Complex Grouping


Automatic Missing-Value Treatment

Automated Unsupervised (ML-based/patent pending): It analyses the neighboring values and underlying pattern and various distributions in the data to predict the missing values, which significantly improves the quality of the predictive model.
Automatic Outlier Detection

Both Supervised and Unsupervised (ML-Based/Patent-pending): The family of algorithms automatically identifies the latent and dominant distribution viz., Binomial, Bernoulli, Poisson and many more, even the ones which are starting to emerge in the dataset. It saves the dataset from being prone to the Biases that these outliers transmits to the predictive model. It also helps data scientists and analysts to perform preventive analytics like Detecting Fraud in the financial transactions data before it becomes mammoth.

Machine Learning



Automated ML

  • Classification: Classification method is used in applications such as:
    • In Recommendation engines
    • In Identifying Loan Defaulter Predictions
    • Promotion Analysis
  • Regression: Regression Analysis is the best method applied to Use Cases, such as:
    • Precting ETA for Cab Services
    • Stocks Prediction
    • Weather Prediction
  • Time-series Analytics (ARIMA, Prophet, XGBoost, Holt-Winter, and LSTM Based Regression): Time-Series Analytics have these common Use Cases in majorly Retail Analytics, like:
    • Sales Forecasting
    • Demand Forecasting
    • Inventory Management
Feature Selection

  • Automated Feature Selection: Feature selection in predictive modelling, can break or make a model. Selecting the variables that determine which variables/features to select and keep, and diligently eliminate those that create noise. Mateverse assists a Data Analyst/Scientist in selecting the variables that speeds up training, easily understandable and most accurate models
  • Assisted Feature Select in the Manual Mode: The Data Scientists and Analysts can opt to perform the Feature Selection in Assisted Manual Mode. For those Data Scientists who have a better understanding of their model, can work even better with Assisted Feature Select. The platform pulls the right graphs like:
    • Chi-Square Test
    • Correlation Analysis through the Pearson Coefficient function
    • LDA (Linear Discriminant Analysis)
    • PCA (Principal Component Analysis)
    • Anderson Darling Test
  • It also gives you the freedom to choose the model optimization method as well as the loss calculation method, for your specific need. Moreover, users can also decide upon the quota that they would want to allocate for the Test and Validation set

Multiple Accuracy Calculation Methods - inbuilt

The Accuracy of a model should not be taken at face-value. Run the model through Mateverse’s in-built and popular Accuracy Calculation Methods to ensure accuracy in any environment.
Model Interpretation

Understanding why a Machine Learning model makes a certain prediction, is crucially important, as it can avoid mistakes that machines may make and therefore guide it to make the right decisions.
  • White boxing the black box
  • Complex confusion metric
  • Multiple graphs to understand the training process
  • Hyper-parameter used
ML Ensembles

Ensemble Models combines several submodels into a single, most efficient predictive model. This technique of ensembling is used to:
  • Avoid biases in the training processes
  • Tackle biases and improve the end prediction
Mateverse utilises a Visual Interface to build Ensembles for the highest quality predictive ML model

Supports almost ALL ML Algorithm and Allied Libraries


Access Management Control

Designed and Built for Teams

For Teams of Analysts or Data Scientists, Mateverse is fully equipped with a system that assigns each Data Science individual jobs, and upto 20 people can SIMULTANEOUSLY, work on the same dataset.
  • Supports upto 20 users
  • Simultaneous Accessibility
Access Management System

  • Admin/Project Lead can select and control the access to the platform for the other team members consisting of Data Analysts and Data Scientists
  • Reviewer Page It gives a 360-degree view of all the activities that the data scientists and analysts are performing on the dataset even at the most granular level like what functions/transformations have been applied to each and every column arranged in chronological order across multiple versions of the same data set.