Data Quality brings out the best in Enterprise Resource Planning (ERP)

Incorrect customer information in the master data - greater resource consumption, high costs

The poor quality of customer data in the master database can mean that goods are undelivered, and great effort is needed to research addresses. Systematic, cost-efficient tour planning in the logistics becomes a lottery, and incorrect bank account details, supplied intentionally or inadvertently, can lead to delays in payment or even non-payment.

Incorrect supplier data - badly informed, higher risk

Correct supplier addresses and telephone numbers play an important role, especially in purchasing, procurement, quality engineering and logistics. In the extreme case, poor data quality can cause supply bottlenecks which may even result in an expensive production stop - with unforeseeable consequences for customer relationships. On the other hand, additional information, e.g. about the creditworthiness of the suppliers, can considerably improve risk management.

Inadequate compliance data - risk of legal consequences

Every company in the European Union is obliged to match all the business partners against the EU embargo list for goods and payment transactions and e.g. to inform the authorities if terrorism is suspected. Heavy fines may be the consequence if this is not complied with on account of poor data quality. The reputation of the company also suffers, whereby the confidence of customers and partners is adversely affected, which in turn puts the company's activities at risk.

Inconsistent product and material master data – a brake on effective processes

The data records for products and materials in master databases frequently run to five figures in larger companies. This makes it difficult for the employees to select correct, unambiguous product and material descriptions which comply with the directives when creating master data. This results in individual descriptions which can only be found by other employees after protracted searching or not at all in some cases. Poor master data quality decreases productivity, delays business processes and causes unnecessary research costs.

Inefficient business processes – a breeding ground for uncertain business decisions

The data of an ERP system is not only required for operative business processes, but also serves as a basis for strategic analyses and decisions (Business Intelligence). Poor data quality here can compromise compliance with the business rules, reduce the utility value of analyses and delay important business decisions or mean that their basis is unsound.

Uniserv Data Quality Solutions for ERP – high data quality in all areas of the company

Uniserv Data Quality Solutions help you to design your corporate planning and controlling so that it is more flexible, more transparent and more reliable. Correct, consistent and complete data in your ERP system ensure efficient, operative business processes and informed business decisions.

Data Quality Batch Suite for ERP: The complete product suite for the fully automatic batch check and cleansing of customer and supplier data, material and product master data and for monitoring business rules in your ERP system.

Data Quality Real Time Services for ERP: For the immediate protection of your data quality when creating customer and supplier accounts and for matching against EU embargo lists.

Our contribution to your ERP success: Quick, error-tolerant searching, automatic duplicate recognition and clustering of name and address data, data validation and enhancing or synchronization with other systems are only some of the functions of the Uniserv DQ Batch Suite and DQ Real-Time Services - our contribution to the efficient use of your ERP system.
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Profit from all Uniserv Data Quality Solutions for ERP including:

• Optimum data quality in all ERP components through the permanent monitoring of initial data creation and changes (Data Quality Firewal)
• Reliable revision of the data (Data Cleansing) according to defined rules and by matching it against reference data (e.g. address, bank, geodata, telephone number index) in batch processing or in real-time
• "Anti-aging" for your customer / supplier data through automatic integration of information on changes of address or company renaming both in the B2B and B2C environment
• More reliable and more flexible corporate planning across all areas of the company
• The effective control of your operative business processes through the provision of detailed information on the basis of up-to-date, correct and duplicate-free data
• Efficient risk management and guaranteed compliance through regular, reliable data matching with embargo lists (block lists)
• Reduction in the credit risk through automatic data enhancement with external information.