IM

Intelligent Modeller

IM is a web-based platform designed for statistical modeling and consequently data analysis. It stores all the necessary steps for statistical modeling. It transforms the variables with the necessary functions for modeling. Subsequently, ensures the automatic reporting of the results by applying on the actual data after establishing the algorithmic relationship between the variables. The platform, which has a project/user management module, is available for use without requiring any software programming knowledge. The Descriptive/Visual Data Analysis Module provides an easy way to grasp the results. 


Features
Current Solutions IM Solution
Variable Transformation
ManualAutomated
Modelling

ManualAutomated
Reporting
ManualAutomated
Data Visualization

YesYes
Deployment

Manual
Automated
Adaptive Learning

NoYes
Highly Skilled Data Scientist
Necessary
Optional
Time to Production

High
Low

IDR

Intelligent Data Ready
  • IDR is a web-based data preparation and automation platform designed for data stewards, admins, data analysts and data scientists.It helps professionals to easily create automated data flows. According to studies data scientists spend around 80% of their time on preparing and managing data for analysis. Also, 57% of data scientists state that cleaning and organizing data is the most troublesome part of their work. IDR helps to easily manage data workflows and reduces the time spent in this process.
  • PropertiesCurrent SolutionsIDR Solution
    User InterfaceHard to useEasy to use
    Programming Knowledge
    NecessaryLow
    Data Preparation DurationDaysHours
    Data Workflow ManagementHard to do
    Easy to do
    AutomationHard to doEasy to do
    Integration to Different Databases
    Hard to doEasy to do

IDQ

Intelligent Data Quality

Intelligent Data Quality is a platform that automatically solves the problem of 'Dirty Data' which is the biggest problem in data analysis. According to studies, 97% of the institutions and companies around the world have a 'Dirty Data' problem. IDQ uses statistical calculations and algorithms to determine the anomalies in the data. It sends automated signals to take precautions to prevent the use of dirty data.

FeaturesCurrent Solutions IDQ Solution
Working PrincipleRule-BasedSelf-learning
Statistical Knowledge
NecessaryNot Necessary
Anomaly - Error Detection TimeDays
Seconds
Cost of Corrupt Data
HighZero

AFE

Automated Feature Extraction

Automated Feature Extraction enables to create auatomated and supervised extraction of an optimal set of predictive features from transactional datasets without human effort. It helps transforming temporal and relational datasets into feature matrices for modelling.


Features
Current Solutions AFE Solution
Working Principle
Rule-BasedSelf-Learning
User
NecessaryOptional
Cost
High Low
SQL Output
Manual
Automated
Data Dictionary

ManualAutomated

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