To view the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar The first step towards understanding data assets’ impact on your organization is understanding what those assets mean for each other. Metadata — literally, data about data — is a practice area required by good systems development, and yet is […]
DataEd Slides: Essential Metadata Strategies
Data-Ed: Essential Metadata Strategies from DATAVERSITY To view the webinar from this presentation, click HERE>> This webinar is sponsored by: About the Webinar The first step towards understanding data assets’ impact on your organization is understanding what those assets mean for each other. Metadata — literally, data about data — is a practice area required by […]
Case Study: Centrica Succeeds with Data Discovery at Scale
“When you’ve got a mass of data, how do you analyze that data and get to a point where you can get the gemstones, the diamonds out of it?” Mike Young, Chief Information Officer with Centrica, knows what it’s like to wade through a sea of petabytes and terabytes to find value. Centrica is an […]
What Is a Data Silo?
Data silos have often had a negative connotation. They describe isolated data islands that appear or are discovered upon finding disjointed Data Management components. These include: Systems that cannot programmatically work with other systems because of older or incompatible code Fixed data that is controlled by one department or team but is cut off from […]
Data Management vs. Data Strategy
In a DATAVERSITY® interview, Donna Burbank, the Managing Director at Global Data Strategy, said, “The difference between Data Management vs. Data Strategy is almost in the definition of the two words. Think about your money. If you’re just managing it, you’re sort of just getting by, but if you’re thinking strategically, you’re really thinking of […]
Implementing Data Strategy Across the Data Lifecycle
Organizations wishing to implement a Data Strategy—a set of decisions that form a pattern, charting a high-level course of action—face significant challenges in unifying their message across the data lifecycle. Only 30% of companies have a clear organizational Data Strategy, leaving their different departments to figure out how to manage company data assets. Moreover, two […]
A Brief History of Data Silos
The original purpose of a data silo was to keep secrets. People have been keeping secrets for a long, long time. Prior to the written word, keeping a secret meant not sharing specific information with anyone else, verbally. And then came the written word. Secrets could be shared accidentally, or even stolen. Life became more […]
What Is Business Intelligence?
Business Intelligence (BI) includes the technologies and tools used to analyze and report on different business operations. Business Intelligence uses raw data stored in varying data warehouses, data marts, data lakes, and other storage platforms, and transforms it into actionable knowledge/information assets. Such elements include dashboards, spreadsheets, data visualizations, reports, and many others. According to […]
The Data Warehouse, the Data Lake, and the Future of Analytics
Data lakes were created in response to the need for Big Data analytics that has been largely unmet by data warehousing. The pendulum swing toward data lake technology provides some remarkable new capabilities, but can be problematic if the swing goes too far in the other direction. Far from being at the end of this […]
Webinar: Data Modeling and Relational to NoSQL
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Making the move to a document database can be intimidating. Yes, its flexible data model gives you a lot of choices, but it also raises questions: Which way is the right way? Is a document database even the […]