Being able to trace data from its origin to its destination is no longer a nice-to-have. It’s a must-have if you are to govern data — and of course you’ve got to govern data. Without metadata, data lineage can’t exist, and if data lineage can’t exist, neither can Data Governance. Metadata brings together assets and […]
Case Study: Semantic Web Ontologies and Geoscience Collaboration Helps the Planet
In the geoscience community, collaboration is critical. Different disciplines — engineering geologists, geochemists, hydrologists — need to share their findings with each other to address big questions about the earth. Take climate change. What factors contribute to it? What impact will it have? Oceanographers who study the dynamics of oceans do their work individually […]
Can Your Organization Avoid AI Failures?
Artificial intelligence (AI) initiatives come as businesses enthusiasm for the technology grows, and AI initiatives go as the excitement fades in the face of false starts and little proof of value. It doesn’t have to be that way. Early AI adopters are actually ramping up their AI investments and launching more projects — and getting […]
Artificial Intelligence and Enterprise Knowledge Graphs: Better Together
At the heart of things, an enterprise knowledge graph supports decision and process augmentation based on linked data. These models of knowledge domains are created by subject matter experts with the help of machine learning algorithms. They live as virtual data layers on top of existing databases or data sets to link both structured and […]
Graph Databases in the Spotlight
Graph databases are distinguished by relationships. Users can query, for example, the connections that relate a customer to an account that he or she owns, or how many degrees of separation exist between Kevin Bacon and Audrey Hepburn. Ontologies are a key underpinning, providing a data model to describe things in a database. Metadata and […]
Case Study: CEMEX Works to Become a Data-Driven Company
Digital transformation is alive and well at CEMEX, a global leader in building materials. It started its journey two years ago, evolving from a traditional brick-and-mortar business model to a digital one where customer-centricity is the dominant factor over product-centricity. Now it needs to become an even more data-driven company, where its data powers digital […]
Machine Learning at the Center of Quality Data Integration
Machine learning, as we know, isn’t magic, though it may seem that way sometimes. But it can be at the center of enterprise data integration and cross-domain Master Data Management efforts that may deliver millions of dollars in cost savings and other benefits. In the case of large organizations that have gone through multiple acquisitions, […]
What Matters Most with Data Governance and Analytics in the Cloud?
The axiom goes that the difference between high-performing enterprises and lower-performing businesses is that the former maximizes their data and the latter doesn’t. But most businesses probably still live somewhere between those two worlds. That means a lot of companies are still working hard to get to the next level for IT-supported business initiatives including […]
Data Quality, Data Stewardship, and the Omnichannel Customer Experience
What organization—from financial services firms to retailers to healthcare providers—survives without customers? Whether they’re called consumers or patients, retaining existing or acquiring new clients is critical. That means not taking customers for granted, but rather treating them as individuals who can enjoy personalized experiences during interaction. An estimated $62 billion is lost by U.S. businesses each […]
Get Ready for DataOps
An emerging discipline called DataOps is taking a page out of the DevOps playbook. The latter is all about accelerating the time to software delivery, and the former about accelerating data flow. And just as DevOps replaces the waterfall method of software delivery, DataOps replaces the waterfall approach of delivering data to the data consumer. […]