Enhanced master data management, supplier monitoring, and spend analysis help you mitigate supply chain risks. Identify potentials for cost reduction and process improvement, and invest in optimized decision-making.

In this digital age, purchasing and procurement departments face challenges such as:


Incorrect Material Master Data

Inaccurate and incomplete master data results in planning mistakes and material shortages.


Supplier Capacity and Reliability

Insufficient supplier capacity leads to delayed deliveries and production disruptions.


Spend Analysis

Lack of transparency over spending allocation and amounts leads to inefficient spending plans and unnecessary costs.

Experiencing challenges in your business? Get in touch with our experts today!

Experiencing challenges in your business? Get in touch with our experts today!
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  • Sanction List Validation

    Keep Track of Government Sanctions Lists in Real-Time

    Protect your business from financial and reputational harm by proactively preventing business transactions with government-sanctioned entities.

    The political environment is constantly changing, and so are the government-issued sanction lists. Ensuring full, global trade compliance is hard and late discovery can result in supply chain disruptions or harsh penalties.

    Using the consolidated information of specialized providers, Data Quality Manager regularly verifies your business partners and alerts you promptly regarding potential violations. It provides details on sanctioned products and services, timeframes, and issuing countries to simplify your decision-making.

    • Compliance with sanction regulations Compliance with sanction regulations
    • Avoids penalties & reputational damage Avoids penalties & reputational damage
    • Prevents supply chain disruptions Prevents supply chain disruptions

  • Master Your Packaging Data for Undisrupted Material Flow

    No More Manual Repackaging Effort

    Always retrieve the correct packaging instruction by mastering your packaging data. Reduce the number of packaging errors to prevent unnecessary shipping, re-Packaging, and waste.

    Wrong packaging data is a tiny difference in the system - but it has a huge impact on the shop floor. Automated processes fail, and inefficient manual rework is needed.

    Data Quality Navigator offers extensive checks to validate packaging data, identifying mismatches between ordering and delivery packaging. It also verifies packaging hierarchies and ensures the correct quantities are maintained.

    • No repackaging effort No repackaging effort
    • Undisrupted material flow Undisrupted material flow
    • Decreased transportation costs Decreased transportation costs

  • Supplier Reliability

    On-Time, Full Deliveries

    Leverage full transparency about your suppliers' performance. Evaluate their ability to deliver ordered materials in the desired time and correct amount. Streamline inbound logistics.

    Making supplier reliability transparent is essential as it enables companies to make informed decisions about their suppliers and assess the potential risks and benefits of working with them.

    Unreliable suppliers can cause production delays, disrupt supply chains, and lead to both stockouts and excess stock, as well as increased costs.

    Data Quality Navigator assesses your supplier's performance by evaluating the past, planned, and actual deliveries, providing direct insights into the complete delivery history.

    • Informed decision-making Informed decision-making
    • Improved risk management Improved risk management
    • Enhanced supplier relationship Enhanced supplier relationship

  • SAP One Business Partner

    Successful S/4 Business Partner Introduction or Migration

    Achieve full benefits and a smooth introduction of S/4 Business Partners through a clean and harmonized base of customers and suppliers.

    Separated legacy customer and supplier bases pose as an effort driver and key challenge when introducing SAP S/4.

    By integrating customer and vendor data from different sources, Data Quality Navigator employs proven matching algorithms to reliably identify linked records. Guided workflows support the business department in efficiently selecting the "golden record", which is especially crucial for large data sets.

     

    • Smooth data transformation Smooth data transformation
    • Reduced data consolidation effort Reduced data consolidation effort
    • High-quality data for digital excellence High-quality data for digital excellence

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