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Which Business Analysis Certifications to I need?

Analysts Corner

Other relevant certifications The above bodies also have a series of specialized business analysis certifications which cover specific areas such as Agile, Digital, Change Management, Architecture, Data Management, Security, Product Ownership, Scrum and modeling certifications.

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Podcast: Making changes with your data management

Clarasys

Welcome to the second episode in our series on data management. In our previous podcast , Philip and Aneesha talked about the challenges faced in the Not-for-Profit (N4P) sector around data management and the steps needed to start a data journey. Or to find on Soundcloud, click below: Listen here.

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Enterprise Data Management: Strategy, Benefits, Best Practices

Astera

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

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MAD for product data management: What IT leaders should know

Ntara

Sometimes product data management can seem vast or vague, even to IT experts who know technology and data well. At Ntara, we remove the mystery by clearly defining what each data engagement involves and how it helps your business. It also includes where each attribute lives in the data hierarchy.

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Unlocking New Horizons in Telco with Generative AI

Cprime

– Telco leaders must focus on investment in AI capabilities, talent acquisition, adopting an agile operating model, technology infrastructure, data management, and ethical considerations. Technology Infrastructure and Data Management : A robust technology infrastructure that can support the demands of generative AI is essential.

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Transform with trusted data: How good governance accelerates your Data Culture

Tableau

At Tableau, we define governance as the combination of controls, roles, and repeatable processes that ensure the responsible use of data across an organization. This is the second post in a three-part series about data and analytics governance.

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How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . Unclear change management process: There’s little or no formality around what happens when a data source changes. Data modeling.