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|
|Highly Skilled Data Scientist||Necessary||Optional|
|Time to Production||High||Low|
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.
|Properties||Current Solutions||IDR Solution|
|User Interface||Hard to use||Easy to use|
|Data Preparation Duration||Days||Hours|
|Data Workflow Management||Hard to do||Easy to do|
|Automation||Hard to do||Easy to do|
|Integration to Different Databases||Hard to do||Easy to do|
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.
|Features||Current Solutions ||IDQ Solution|
|Statistical Knowledge||Necessary||Not Necessary|
|Anomaly - Error Detection Time||Days||Seconds|
|Cost of Corrupt Data||High||Zero|
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|