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Better data for decision making and AI
Data consolidation, cleaning, augmentation, validation and provenance tracking increase you confidence in decision making.Data monetization
Make your data a profitable asset, discover the new ways of using it, create new digital products.Get ready for AI use
Ensure you have the high-quality data for AI models instead of silos and data lakes. Transform texts into structured data.New possibilities
Innovational development and digital transformation allows to get ahead of the competitors, unlock new business opportunities.
Our services
Data
governance
Automating complex tasks in data consolidation, cleaning and structuring, DWH and data catalog implementation
MDM
Implementation
Create a single source of reference data for the organization. Get your data ready for AI
NLP, NLU and data interaction with RAG
Extract knowledge from text, augment LLM answers with data, automate incidents processing etc.Our products
DataVera EKG Provider
Data virtualization platform for Enterprise Knowledge Graph implementation.
DataVera EKG Explorer
Enterprise knowledge graph editing and exploration interface.
DataVera EKG Language Processing
NLU tool for facts extraction from natural language text
DataVera EKG Platform
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Our expertise
Eurasian Bank
Situation before MDM implementation:
- Information about the Bank's clients is processed in several business applications. Data on one client in different systems does not change synchronously. Inconsistencies between data from different systems may occur.
- It is not always clear which system contains the most relevant information about each client.
- When creating or implementing new applications, there is no single "source of truth" from to obtain up-to-date customers information.
Solution:
- Implement an MDM system that will load and transform customer data from all business applications, automatically clean, validate and consolidate it. A reference record will be created for each Bank client, obtained by combining the most relevant and correct information about him from all business applications.
- Distribute (replicate) reference data in other systems
- Create new business applications using the MDM system as a single "source of truth" for the Bank's clients.
Expected Business Impacts
Reducing the probability of errors in operational business processes associated with the use of outdated customer data
Reducing the labor costs of operators by eliminating double data entry and increasing data availability
Continuous improvement of the quality of customer data and visibility of data conversion processes
