This next year demands quicker data-driven decisions, better automation, more integration, and more data, requiring optimized Data Modeling. Data Modeling refers to documentation describing core business rules and definitions around data. Business and technical shareholders benefit from Data Modeling by seeing complex data concepts in an intuitive, visual way. Throughout 2020, Data Modeling will need […]
2019 DATAVERSITY Top 20
It is once again time to look back and evaluate the struggles and successes of the previous year and then build those lessons into the year to come. Part of how we do that here at DATAVERSITY is to look at the content consumed by the community over the year and evaluate what was hot […]
Building Data Definition Consensus
Data definitions are about a business creating a common vocabulary in a common language. They’re about how the organization thinks about itself. Take product data: The business needs to know what products it sells, how they can be categorized, what needs to be understood about that, who has financial responsibility for them, and why it […]
Training Artificial Intelligence Systems
Computer vision systems are driving some incredible developments. Convolutional neural network (CNN) algorithms are most commonly applied to analyzing visual imagery. That involves the “classification, detection, [and] segmentation of entities in the 2D space and analyzing temporal information in the 3D space, such as Action/Video,” says PR Krishan, VP and Global Head, Enterprise Intelligence Automation, […]
Metadata Management Drives the Future of Data Management
Metadata Management makes a huge difference in finding critical data and helps enterprises not get lost within millions (or billions) of records. Metadata provides context about data, describing the information inside a data set, like a candy wrapper detailing the ingredients of the sweet stuff it encloses. This kind of data about data drives a […]
Case Study: Crisp Video Finds Confidence in Cost-Effective Cloud Storage
The last thing a manager wants to think about before falling asleep at night, is whether the customer data archived yesterday will be there tomorrow. Who knows when a client will come back years after project completion and ask for the video created back then? A supervisor needs confidence that data is automatically archived in […]
Responding to Innovations and Trends in Data Governance
Kevin Shannon, Global Head of Enterprise Data Governance at Dun & Bradstreet (D&B), shared his views on how to respond to current and future developments in Data Governance at the DATAVERSITY® Enterprise Data Governance Online event, during his presentation titled Trends in Data Governance. The Interconnection of Value & Reality In the next few years, […]
Database Management Trends in 2020
In 2020, database management will be a mosaic of old and new technologies. Many people have already implemented relational databases or data warehouses — 86.55 percent — according to the recent DATAVERSITY® Trends in Data Management Report. It will not be hard to see why data warehouses will continue heavy usage in 2020. They integrate […]
Ease into Data Governance with a Data Quality Pilot
In the banking or pharmacy industry where regulations compel companies to have good governance in place, in industries such as publishing and telecom Data Governance often seems complicated and theoretical. That’s according to Sara Willovit, Product Data Governance at Becton Dickenson. Speaking at the DATAVERSITY® Enterprise Data World Conference, during her presentation titled Using Data […]
The Many Dimensions of Data Quality
Data can be anywhere. Companies store data in the cloud, in data warehouses, in data lakes, on old mainframes, in applications, on drives — even on paper spreadsheets. Every day we create 2.5 quintillion bytes of data, and there are no signs of this slowing down anytime soon. With so much available for data-driven decisions, […]