Unforeseen fines and losses on receivables can put unexpected strains on your finances. Intelligent data matching works against this. Protect yourself with preventive risk management and bring stability to your financial planning.
Effective risk management focuses on prevention. You should detect suspicious cases at an early stage. That’s why matchmaker starts data matching at the point of data entry. Thus, you use your resources efficiently and sustainably.
matchmaker checks your entire data and external risk lists. A search query is all it takes to receive instant confirmation of potential risks. Cover all risk areas with your data matching.
Money laundering affects everyone! To conduct business in a legally secure manner, you must continuously and carefully check your business partners. Don’t waste any time detecting suspicious cases at an early stage as soon as the data is collected.
Can you determine the current PEP status of your business partners on an ad hoc basis? The Money Laundering Act requires the PEP status to be checked. Our data matching ensures security through a global comparison of all risk lists.
Fraud is always in season. What can cost private companies their existence also causes enormous losses on the government side. With intelligent algorithms, matchmaker immediately uncovers suspicious identity data.
You should remember defaulting payers! Internal blacklists has proven to be an effective means of protecting against renewed payment defaults. Matching data with matchmaker on a regular basis protects your resources – best done automatically upon receipt of each order.
Compare apples with oranges
The linguistic hurdles in matching international data are particularly diverse. Divergent data structures and formats must first be harmonized for data reconciliation. This process, which often involves several steps, is time-consuming, a Sisyphean task that at the same time raises many questions. Questions that require exact answers to reliably check any risks.
Is the spelling correct?
Are other spellings possible?
What is the first name? What is the last name?
What language is that in general?
Which transcriptions exist?
How to compare different name structures?
Multilingual databases with different data structures appear like apples and oranges at first glance. In this difficult database, matchmaker plays out its superiority brilliantly. The indexing approach of exorbyte solves data structures. Thus, in the "exposed" data, error-tolerant algorithms find any similarity between the query and reference data, even if they are apples and oranges in shape.
Focus on the right contacts. We take this decision for you.
Rudimentäre Daten und Datenfragmente
Qualify your contacts and sort out risky contacts easily. With matchmaker, you always know whether your business partners are on risk lists or not. Any number of data sources can be included in the check, including your own lists. e.g. customers with whom you no longer want to enter into a business relationship due to bad debts or incompatible values and principles.
matchmaker takes over the data comparison against all reference data fully automatically – as a comprehensive overall check in a batch procedure or simultaneously with the entry of a new data record. Get a reliable answer about whether your data matches entries on critical lists. This way, you can secure your organization against risks of money laundering, fraud, and illegal business at all times.
exorbyte is your experienced partner for efficient data processes from input to output. In 5 disciplines, we create the conditions for successful digital transformation and automated value creation.
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To ensure the responsible allocation of state aid, the municipal job center in the Offenbach district created a clean database and optimal access to benefit recipients.