AI MASTER DATA PREPARATION – INTELLIGENT AND EFFICIENT

MASTER DATA PREPARATION MADE EASY

LLMs and generative AI models automate and improve master data preparation. The processes change as follows with LLMs and generative AI:

1. automated data cleansing
LLMs: They recognize text patterns and correlations that are useful for cleansing data – such as correcting typos, standardizing formatting and filling in missing information.
Natural Language Processing: LLMs, in combination with NLP techniques, can recognize and correct contextual errors that are difficult for traditional systems to identify.

2. data enrichment
AI: Master data is supplemented with additional information.
New insights are generated from existing data or external sources are searched to add relevant information – for example, when enriching the product characteristics of product data using a technical data sheet.

3. deduplication and merging
LLMs: Semantic similarities between data records can be recognized. Similar data records are identified and merged, even if they do not match exactly, so that redundancies are reduced and data consistency is improved.

4. standardization
LLMs: They standardize data formats and terms.
AI: Patterns and conventions in large amounts of data are learned and can ensure uniform technologies and structure in master data.

AI AND LLMS – YOUR WIN:

• Less time and manual maintenance
• Detection and correction of complex errors and inconsistencies
• Fast and efficient processing of large volumes of data
• Flexible adaptation to use cases and data types