
Business Drivers and Benefits of Successful Data Marketplaces
Many organizations are striving to become data-driven, but few are truly achieving it. Successful organizations have managed to identify the business drivers and benefits of
Many organizations are striving to become data-driven, but few are truly achieving it. Successful organizations have managed to identify the business drivers and benefits of
Every team needs to develop the foundation of trust to support a successful endeavor As more work is done on a project basis where teams
The Semantic Web and semantic technologies can link to an organization’s Information Architecture for a more holistic view of the enterprise, and for richer understanding
Regardless of size, every organization needs and can benefit from an enterprise data / information management program, with the essential components of data governance, data
Effective data-focused self-service needs close collaboration between IT, business, and data management Although much has been written about self-service capabilities, most of the content is
A pilot or prototype for business intelligence or analytics provides an opportunity to demonstrate success, value, and proficiency. The success of a pilot project is
Networking is an essential part of career development and professional behaviors. Remember these points when planning and engaging in networking What is Networking? Networking is
Data Literacy is the ability to read, work with, analyze, and argue with data. Much like literacy as a general concept, data literacy focuses on
The Semantic Web facilitates the discovery and sharable usage of information. Data Governance and Data Stewardship programs can take advantage of this capability by implementing
Although some challenges are part of any data integration effort, the need for mastering the best practices for data integration remains essential for any organization
Every industry needs the solid foundations of enterprise information management to have a successful present and future, especially with data-intensive analytical processes. Healthcare organizations need
A data analyst can find many ways to practice and improve skills in requirements discovery, analysis, documentation, and approaches to the role. Defining the role
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