2022 Data Architecture Data Quality 
AWS Big Data
JANUARY 31, 2023
Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.
CIO Business Intelligence
JANUARY 20, 2023
A big part of preparing data to be shared is an exercise in data normalization, says Juan Orlandini, chief architect and distinguished engineer at Insight Enterprises. Data formats and data architectures are often inconsistent, and data might even be incomplete.
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CIO Business Intelligence
JANUARY 30, 2024
As the internal technology provider for parent company Allianz SE with 15,000 employees, the entity employs more than 100 ESG experts who spend several weeks each year heads down collecting and reporting ESG data manually. Data quality is key, but if we’re doing it manually there’s the potential for mistakes.
Cloudera
SEPTEMBER 15, 2022
July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. A key area of focus for the symposium this year was the design and deployment of modern data platforms. What is a data fabric?
erwin
SEPTEMBER 13, 2022
Quest ® EMPOWER kicks off November 1, 2022 and is our free, two-day online summit designed to inspire and provide data veteran perspectives that will help you move your organization’s relationship with data forward. Day one will be focused on data intelligence and governance.
IBM Big Data Hub
APRIL 27, 2022
Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.
CIO Business Intelligence
APRIL 29, 2022
Data-first leaders are: 11x more likely to beat revenue goals by more than 10 percent. 5x more likely to be highly resilient in terms of data loss. 4x more likely to have high job satisfaction among both developers and data scientists. Create a CXO-driven data strategy.
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