Automatic Field Mapping

Based on KnoDL Technology

Introduction

Problem

• Differences in data formats and complexity of integration sources

• High risk of errors due to the human factor

• Need for specialized knowledge and resources

• Limited flexibility and scalability of existing solutions

• Costs of maintaining and updating systems

Importance in Modern Conditions

• Data volumes are growing, effective automation is required

• Integration of diverse data becomes critical

• Improving the quality and speed of data processing

• The need for flexibility and adaptability in a dynamic business environment

• Supporting decision-making based on accurate and reliable data

Current State of the Market:

Traditional Field Mapping

• Often requires manual intervention and configuration

• Depends on specific knowledge about the structure of data

ML&NN

• Application of complex algorithms for analysis and data comparisons

• The need for large amounts of training data to be effective.

• Difficulty in interpreting and explaining the results of algorithms.

Disadvantages of Existing Methods

• Significant time and resource costs for preparing and training models.

• High probability of errors due to data complexity.

• Limited adaptability to new data types and changes in structures.

• Problems with scalability and flexibility of systems when requirements change.

KnoDL Solution

We use a unique text data comparison method that analyzes substrings within records. This allows us to accurately match different records and their individual fields.

How it Works

• When we analyze records, our system determines which fields match each other. We do this by comparing the sets of substrings in each record.

• If your data has many pairs of records that need to be matched, our technology also uses statistical methods to improve accuracy.

Features and Benefits

• This approach allows us to more accurately and efficiently determine matches between data fields, making the mapping process faster and more reliable.

• The difference from other methods is that our technology does not depend on complex machine learning algorithms and neural networks, making the process simpler and more accessible.

Advantages and Benefits of KnoDL

• Faster and more accurate – KnoDL significantly speeds up the field mapping process while ensuring high accuracy, thanks to a unique method.

• Fewer errors - Reducing human error in the matching process reduces the likelihood of errors.

• Greater adaptability - the ability to efficiently process different formats and data structures.

Possible Applications

Sectors: - Public sector, Banks, Healthcare, Education

Benefits:

• Integration of data from various sources for in-depth analysis.

• Collate patient data to improve care and research

• Risk management and regulatory compliance through accurate data mapping

Thank you for your attention! [email protected]