“Data Governance is like Lord of the Rings. You are on a journey to cast obfuscation and bad decisions into the fires of Mount Doom. To succeed in this quest, you will need a fellowship of data” said Mark Horseman, Data Enthusiast at the Northern Alberta Institute of Technology (NAIT), in his presentation titled Socializing […]
Justify MDM Investments with an Alternative Approach
How far can Data Quality fall before real pain sets in? Not far. Addressing that issue requires validating, matching, and merging existing data so that you can drive out duplicates and enrich the data with new data as it becomes available. In other words, it requires Master Data Management (MDM), which helps companies share data […]
Data Governance Trends in 2020
Data Governance always has been a complicated issue for most organizations. That won’t change in a big way in 2020. In fact, the increasing prevalence of technologies like artificial intelligence (AI) and machine learning (ML) may show up some of the pains even more. Don’t take that to mean that companies aren’t becoming more mature […]
The Art of Data Extraction
To be a data-driven business, companies need data. A lot of data. They have plenty of data in-house to work with, of course — their customer and sales data, data they get from their subscriptions to third-party data providers, and so on. But what about all that data on the web? Sourcing data from the […]
Data Management vs. Business Intelligence
What is a company to do when Business Intelligence (BI), designed to leverage data as an asset, costs too much time and money due to failures in traditional Data Management processes, such as the prepping and cleaning of data? Should a business analyst, wanting to produce ad-hoc reports, have to be tech-savvy or wait for […]
Data Modeling Trends in 2020: A Year of Optimization
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 […]