Is your organization devoting to the new General Data Protection Regulation the attention and resources it deserves? Rules for handling personal data are significantly changing effective from May 2018. Find out how to start your compliance journey.
Discover more about recent developments in Machine Learning and Artificial Intelligence in Master Data Mangement.
Welcome to the era of a-Commerce (automated Commerce)! In the future, machines will predict any kind of consumer product demand and –ring in the era of a-commerce!
Disruptive innovations are finally arriving in the logistics market. Find out more about LogTech startups in this blog post.
Where do pharma companies stand with utilizing blockchain technology? What differentiates blockchain from current technologies? What are the challenges faced with blockchain adoption? What are prominent use cases within the healthcare industry?
Why should participation in collaborative and synchronized data networks be a business priority and not just an IT initiative? Which factors influence the companies in the initiatives for data sharing and GDSN compliance?
The integration of big data analytics and Master Data Management allows organizations to enhance decision making, become smarter and more productive. Capturing this potential for organizations begins with addressing key challenges and pre-requisites.
The influx of new technologies such as big data analytics is changing the way we look at existing data management solutions. Quite interestingly, the interplay opportunities between big data analytics and master data management are way more than expected, allowing organizations to reap higher business value and benefits.
For companies that intend to stay ahead of the competition, speed and agility are crucial to be able to react quickly to changes in a fast-moving business environment. But what does being “agile” mean?
Read how artificial intelligence will take over complex MDM tasks that used to be managed solely by humans.