To tap into market needs, we recently launched the CDQ Data Quality Cockpit and created one hotspot for monitored company business partner data. By using the cockpit you can easily identify lacking business partner data quality via a dashboard that offers a daily view on data performance.
How much time does your Master Data Management spend on creation of Business Partners? Is your Master Data Management the only source of new Business Partners in your company? And how about duplicates – do you have lots of them? Wouldn’t it be great to gain more efficiency in the creation of Master Data records and at the same time ensure more Master Data quality?
Invoice fraud with manipulated bank account data is a threat to every business. Checking procedures before a payment is moved forward to a verified destination can be cumbersome and labor-intensive. That's why we believe Data Sharing is the safer way to data!
No business is an island. The better you understand - and more accurately you keep track of - your partners and suppliers, the more readily you can give them what they need, including prompt payment, rapid provision of records and reporting, and efficient ordering. This means you need to have vendor master data of high quality.
Companies gain more and more information by collecting data. But simply collecting data is not a guarantee for success. The challenge is to transform collected data into data insights. The good news: artificial intelligence (AI) and machine learning (ML), in terms of learning from data and automating repetitive tasks, can support you in your data management activities.
Today, access to valuable data is a superpower. But just having a lot of data is not enough. In one of our most recent eBooks, CDQ data experts from the Competence Center Corporate Data Quality (CC CDQ) explain how to turn data into business value using a simple model: the Data Value Formula.
