Hilbert Solutions - Overview

With Hilbert, enterprises can solve many applied data storage, retrieving and management issues in real-time. Hilbert solutions are either ready to use or packaged as a set of tools/components plus services to solve industry or business process challenges. For the first time, Hilbert makes it practical to capture information and concepts in real-time from a myriad of data stores and data sources.



 

Hilbert Business Process Solutions

Hilbert ExploreCRM and Hilbert ExploreProcure

    • Analysis of unstructured data like quotes, sales-orders, invoices, contracts, etc. in text format
    • Analysis of unstructured data like PO requests, purchase orders, delivery notes, qualit data, Vendors, etc. in text format
    • Consolidation of distributed data and databases
    • Re-classification and data cleansing, enrichments
    • Product-, Product-Line-, Sales area, salesmen, etc. analysis

Hilbert MasterData

    • Unification/Standardization and consolidation of data from various sources
    • Re-classification and data cleansing, enrichments
    • Data quality management and data governance
    • Rules management

Hilbert Data Exploration Solutions

 


Hilbert QuantumText

    • Ready to use enduser product
    • Datamining/-analysis solution for unstructured data
    • Search with drill down capabilities and categorization
    • Scoring and affinity calculations
    • Highly scalable to millions of documents and support for different text file types like MS Word, Power Point and Excel as well as Adobe PDF, XML, HTML, MS Out-look emails, …

Hilbert ExploreDoc

    • Datamining/-analysis solution for unstructured data
    • Support for different text file types like MS Word, Power Point and Excel as well as Adobe PDF, XML, HTML, MS Out-look emails, …

Hilbert ExploreData

    • Datamining/-analysis solution for structured data
    • Support for different and distributed databases like ORACLE, SQL, ACCESS etc.

HilbertIdentity

    • Examination of structured data for complex duplicates
    • Fraud detection and match identity to a given set of incomplete or fractional data records