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Data solutions

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Problem

  • Data in Silos: Unavailable, fragmented, slow and poor-quality data.

  • Manual Processes: Controllers & accountants fill Excel spreadsheets for months.

  • Isolated Projects: Successful AI/Analytics initiatives that provide no added value to the entire company.

  • Lack of IT Resources: External consultants and niche expertise prevent efficient solutions.

Solution

  • Flexible, modular solution without high development effort.

  • Integration of proven technologies and processes for rapid financial digitalization.

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Advantages

  • Fast: Parallel, scalable infrastructure in just a few days; immediately operational use cases.

  • Flexible: No dedicated IT resources needed; expandable as desired.

  • Scalable: Handles massive data volumes; seamless data integration.

  • AI Integration: Direct connection to AI tools and algorithms.

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Technology

  • KNIME: Low-code tool for complex data processes, diverse interfaces, easy maintenance.

  • Snowflake: Quickly deployable, highly scalable for structured and semi-structured data.

  • Tableau: Modern BI solution for fast, intuitive dashboards without IT overhead.

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Approach

  • Requirements Analysis & Data Quality: Stakeholder interviews, proactive quality improvement.

  • ETL Workflows & Logic: Data extraction from Excel, ERP, CRM; logic close to the source.

  • Data Integration: Staging and transformation in Snowflake; automated, synchronized data delivery.

  • Reporting & Dashboarding: Unified KPIs, modern dashboards (Tableau) with automatic notifications.

  • Training & Documentation: Comprehensive training and documentation for sustainable process integration.

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