AIQA is your AI quality assistant which helps you get rid of your data quality problems.
AIQA analyses your data, detects possible problems and suggests a solution which is consistent with your data model. Over time, AIQA learns to fix the problems autonomously.
Client Data
AIQA
Run Levels
Client Data
AIQA
Run Levels
Technology
Our solution is cloud based and AI driven. The software is provided as a service. No updates or maintenance are necessary on the client side. The data is stored in the cloud, the space and processing capacity scale with your demand. The machine is connected to a variety of public data sources and generates its own metadata. It connects patterns and past choices in your data processing to arrive at increasingly accurate solutions.
Bank Data
AIQA
Clean Data
"as is“ unstructured data
Detects errors and corrects data on many levels
Bank Data after processing - clean data, ready to fit all reporting
Bank Data
"as is“ unstructured data
AIQA
Detects errors and corrects data on many levels
Clean Data
Bank Data after processing - clean data, ready to fit all reporting
Key Source of Problems
Unstructured & uncontrolled data
Absent or deficient data quality mechanisms
Lack of dedicated roles for data quality
Existing software tools require a high level of technical understanding and are not suited for non technical users
In the regulatory reporting area, data errors incur fines and cause enormous costs in the banking sector
The Solution: AIQA
Our approach puts the focus on the source data
Data quality as a proactive service
State of the art concepts and platforms (Java, Cloud, Machine-Learning)
Intelligent and interactive
Highest security standards and scalability on hardware and software side
Key Source of Problems
Unstructured & uncontrolled data
The Solution: AIQA
Our approach puts the focus on the source data
Absent or deficient data quality mechanisms
Data quality as a proactive service
Lack of dedicated roles for data quality
State of the art concepts and platforms (Java, Cloud, Machine-Learning)
Existing software tools require a high level of technical understanding and are not suited for non technical users
Intelligent and interactive
In the regulatory reporting area, data errors incur fines and cause enormous costs in the banking sector
Highest security standards and scalability on hardware and software side
Keyword Data Flaws
We found, as a key point based on our professional experience, that data delivered are never the data expected. As a result of this fact, operational costs increase by an enormous amount.
AIQA is the blade to sharpen your data precision
We translate our technical understanding into computer behaviour. Our engine already performs a large part of the necessary cleaning activites on its own. The Robo Reg Reporting expert.
In the case of personal data (e.g. private telephone numbers or private addresses), the rules of data protection according to the Federal Data Protection Act (BDSG) and the General Data Protection Regulation (GDPR), e.g. B. with regard to the collection, storage and deletion.