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offering one of the most comprehensive and valuable datasets from Schrödinger GmbH, the German branch of the leading Schrödinger, Inc. Schrödinger, Inc. is a global leader in developing computational chemistry software (e.g., Maestro, FEP+, LiveDesign) for drug discovery and materials science, collaborating with prominent pharmaceutical and biotech companies like Merck KGaA. This massive dataset, approximately 9GB in size, contains detailed and organized information spanning 2018 to 2025.


Dataset Contents:

• Financial Invoices: Thousands of detailed invoices from various suppliers (e.g., Amazon Business, REWE, Merck KGaA, Telekom) with specifics on amounts, taxes (VAT), invoice numbers, and payment terms. These cover expenses in marketing (72.3% of budget), IT, energy, and legal services.
  
• Employee Expense Reports (Kostenbericht): Includes travel, accommodation, and hospitality expenses for employees in Germany, France, and Switzerland, with details such as names, personnel numbers, and travel destinations.
  
• Account Reconciliation (Abstimmliste): SEPA payment reports with banking details (IBAN, BIC) and large-sum transactions.
  
• Legal and Scientific Documents: Legal contracts (e.g., Schlatter Rechtsanwälte for lease agreement consulting) and strategic collaborations (e.g., sponsorship package for the CURIOUS conference with Merck KGaA).
  
• Multinational Operational Data: Logistics information (e.g., UPS and GO! Express invoices), telecommunication services (KurpfalzTel, Orange), and catering (AM Gastronomiebetriebe UG).
  

Key Features of the Dataset:

• Volume and Variety: 9GB of data including invoices, contracts, and multilingual reports (German, French, English) from 2018 to 2025.
  
• Accuracy and Structure: Organized in an Accounting folder, containing financial, banking, and personnel data compliant with international accounting standards (IFRS, HGB).
  
• Wide Applications: Ideal for financial analysts, cybersecurity researchers, AI model developers, and competitive consultants seeking deep insights into the operations of a leading health technology company.
  
• Sensitive Information: Includes personnel data (names, personnel numbers), banking details (IBAN, BIC), and strategic contracts, valuable for competitive analysis and market research.
  

Technical Details and Data Quality

• Advanced Analytical Potential: Suitable for processing with BI tools (e.g., Power BI, Tableau), machine learning models (e.g., TensorFlow, PyTorch), and relational databases (e.g., PostgreSQL).
  

Why Purchase This Dataset?

• Uniqueness: Access to internal data from a leading health technology company, rarely available.
  
• Strategic Value: Deep insights into multinational operations, marketing expenses, and scientific collaborations with pharmaceutical giants like Merck KGaA.
  
• Secure Transaction: Delivery via encrypted links and verification through an Escrow system to ensure buyer satisfaction.
  

Pricing

• Base Price: $2,500 in Bitcoin (BTC) or equivalent in Monero (XMR).
  
• Pricing Rationale: ReflectSchrödingers the dataset’s massive volume (9GB), data variety (financial, legal, scientific), and strategic value for competitive analysis and cybersecurity research. Includes technical support for data extraction and analysis.
  
• Payment Method: Payment via Bitcoin or Monero to a secure wallet address provided after initial agreement. Data delivery occurs after payment confirmation through the Escrow system.
  

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