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Yield und Datenanalyse

convanitYield und Datenanalyse

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Prototyping and Integration of Data Warehouse / Big Data / Business Intelligence solutions

What we mean

Based on your concrete use cases for real time and offline data analysis tasks we develop prototypes customized for your company. Your IT and data landscape will be considered. This enables you to see the benefit of your examples prior to definition of the requirements of your final solution.

Essential components are the integration of relevant data sources, data storage, data analysis, data visualization. As independent consultants we look for the best combination of commercial and open source solution for your company.

How we do it

With your technical and IT experts we define the actual and future use cases.  We support your detailed requirements analysis, outline possible solutions, generate prototypes and support your deployment.

Example:
Question from Fraunhofer IPMS:
Many data/parameters (streaming) of an oxide etch process are available.
Which of them are relevant?
==> Correlation of process parameters with process measurement data such as etch rates and layer thickness measurement.

Prototyping und Integration von Echtzeit und Offline Datenanalyseaufgaben1
Prototyping und Integration von Echtzeit und Offline Datenanalyseaufgaben2
  • Consulting
  • Data Integration
  • Implementation
  • Organization
  • Data Analytics
  • Yield/Quality
    • Workshops
    • Concept development
    • Requirement analysis
    • Project management
    • Data analysis and reporting application
    • Data preparation (ETL/ELT)
    • Data und system architecture
    • DWH Integration
    • Big Data Integration (On-Premise, Cloud)
    • BI Integration
    • Strategy and Vision
    • Personas and interfaces
    • Sustainable change
    • Implementation & Deployment Support
    • Cooperation with software partner

    Competencies and Keywords

    Overview

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