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Putting the Business Back Into Business Innovation

Timo Elliott

Everybody wants to innovate faster, to be more agile, to be able to react quickly to changes in today’s uncertain business environments. So innovation has to mean business! The industry analysts all have a similar vision of what that agile future of business looks like. So how do organizations do that? Business Process.

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Business Analysis Digest #37

Passionate BA

Yulia discusses the importance of accurate data modeling, pointing out missing entities, vague relationships, or overly complex designs. By addressing these common pitfalls, the article provides valuable guidance for domain and data modeling. 07.09, 7.30 14.09, 8 PM CEST. Essential Requirements Practices.

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Top 10 Business Analysis Techniques

The BAWorld

User stories empower Agile development teams to collaborate and communicate effectively. Data Modeling: Building the Information Backbone Data fuels decision-making. Data Modeling: Building the Information Backbone Data fuels decision-making.

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Data Vault 2.0: What You Need to Know

Astera

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

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What to Consider When Moving Your CMDB Into Jira Service Management Cloud

Cprime

Many companies are pushing towards the cloud to reap the benefits of scalability, accessibility, cost-effectiveness, automation, and innovation. Investigating Existing Data Models: Understanding the current data structure, including how information is stored, categorized, and accessed, is paramount.

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Self-Service Analytics for Google Cloud, now with Looker and Tableau

Tableau

It's more important than ever in this all digital, work from anywhere world for organizations to use data to make informed decisions. Speed, agility, and empowerment are crucial to thriving in this new environment. However, most organizations struggle to become data driven. More to come from this innovative partnership.

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Finance Data Warehouse for Reporting and Analytics

Astera

Data Analysts and Technologists Data analysts and technology professionals within financial institutions benefit from data warehousing by automating repetitive tasks like data extraction and transformation. This automation allows them to focus on higher-value activities such as data analysis, modeling, and innovation.