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Agile Requirements Management Part 3 – A Collaborative Data Model

BA Times

In this article I want to explore how to integrate data requirements with product features and user stories; the result is some very useful traceability to where a particular data entity or attribute is being used across a product.

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Balance Data Quality with Data Agility!

ElegantJ BI

Data Quality vs. Data Agility – A Balanced Approach! Sometimes we are so focused on perfection that we do not see the benefit of agility. When it comes to analytical quality versus analytical agility, we might see the issue in the same light. Consider the emergence of the brainstorming concept as an example.

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Balance Data Quality with Data Agility!

ElegantJ BI

Data Quality vs. Data Agility – A Balanced Approach! Sometimes we are so focused on perfection that we do not see the benefit of agility. When it comes to analytical quality versus analytical agility, we might see the issue in the same light. Consider the emergence of the brainstorming concept as an example.

article thumbnail

Balance Data Quality with Data Agility!

ElegantJ BI

Data Quality vs. Data Agility – A Balanced Approach! Sometimes we are so focused on perfection that we do not see the benefit of agility. When it comes to analytical quality versus analytical agility, we might see the issue in the same light. Consider the emergence of the brainstorming concept as an example.

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Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

Agile 52
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What is Augmented Data Preparation and Why is it Important?

ElegantJ BI

But, businesses do not have the time or budget to provide unlimited IT resources and the fast pace of business and market changes has made it difficult to satisfy the day-to-day data requirements of business users. What the business needs is a tool that allows users to prepare and analyze data and satisfy the needs of today.

article thumbnail

What is Augmented Data Preparation and Why is it Important?

ElegantJ BI

But, businesses do not have the time or budget to provide unlimited IT resources and the fast pace of business and market changes has made it difficult to satisfy the day-to-day data requirements of business users. What the business needs is a tool that allows users to prepare and analyze data and satisfy the needs of today.