Without a clear understanding of core data concepts, communications around implementing an organizational Data Management initiative can become a muddle. As different teams come together to plan and organize data activities, they must integrate what they mean about data with any technologies. For example, take the term “Data Governance.” Data engineers building systems and tools to enable […]
RWDG Webinar: One Data Governance for All – Master Data Included
Download the slides here>> This webinar is sponsored by: About the Webinar Maybe you believe that there is something called Master Data Governance, and that it is significantly different than any other form of active Data Governance. More generalized Data Governance can be targeted at any subset of data – for example … by […]
10 Data Streaming Challenges Enterprises Face Today
Businesses are swamped with a flood of real-time data coming from sources such as websites, social media, digital activity records, various sensors, cloud technology, and numerous machines and gadgets. The list keeps getting longer. The need for immediate analysis and customer insights has pushed the growth of this kind of data sky-high. And with that […]
ADV Webinar: Common Misconceptions About Master Data Management
Download the slides here>> This webinar is sponsored by: and About the Webinar Master data is a key to digital transformation. All transformative projects require master data and usually many subject areas. Yet the uptake is not where it should be when considering how enterprises could be benefitting with MDM. This is due to […]
A Data-Driven Organization Requires Everyone’s Hands on the Wheel
Companies are driving ahead with data transformation. But so far, the results are mixed: Few companies have achieved their goal of becoming a data-driven organization. So, where are they going off track? First, it’s important to define what it means to be data-driven. Data-driven organizations not only collect data, they collect the right data and use it […]
Why AI Forces Data Management to Up Its Game
The Information Age has flooded the modern enterprise with data. Demand for enterprise storage capacity will only increase in the years ahead. By the end of this decade, new enterprise storage capacity shipments are forecast to be 15 ZB per year, with the active installed base exceeding 45 ZB. Where Is This Growth Coming From? Business and […]
The Cool Kids Corner: Change Management for Data Literacy
Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month we’re talking data literacy and change management. What is data literacy? Why is it important? What are the barriers? How do […]
9 Best Practices for Real-Time Data Management
In the era of digital transformation, data has become the new oil. Businesses increasingly rely on real-time data to make informed decisions, improve customer experiences, and gain a competitive edge. However, managing and handling real-time data can be challenging due to its volume, velocity, and variety. This article will guide you through nine best practices […]
What Is Data Quality? Dimensions, Benefits, Uses
Data Quality (DQ) describes the degree of business and consumer confidence in data’s usefulness based on agreed-upon business requirements. These expectations evolve based on changing contexts in the marketplace. As people get new information and experience different interactions, business requirements face updating, redefining Data Quality needs within the data’s lifespan. Since DQ represents a moving […]
How to Become a Data Modeler
There is always a need for data modelers. However, the job description of this career field varies, depending on the needs of the organization. For example, if you become a data modeler working for a startup, you might coordinate with data scientists and data architects in designing a new system – one that includes the […]