Explicit Measures Podcast

269: Data Projects or Data Products?

Nov 21, 2023

The podcast discusses the concept of treating data projects as products and the benefits and challenges of implementing agile scrum methodology. They also explore the importance of establishing a business intelligence department and the evolution of business intelligence processes.

01:09:45

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Quick takeaways

Data projects should be treated as data products within an organization, focusing on long-term maintenance and operational use.

Applying agile and scrum methodologies to data projects can be challenging, requiring a hybrid approach that combines agile for larger projects and a help desk system for smaller ad hoc requests.

Establishing an iterative and collaborative data product development process, aligned with product specifications, is crucial for effective communication, timely delivery, and meeting evolving needs.

Deep dives

Data product operating model

The podcast episode discusses the concept of the data product operating model, which focuses on using data in an operational way and maintaining it over time. The episode emphasizes the importance of understanding how to effectively use data by following an operational approach. This includes designing architectures, building diagrams, and creating a community of diagrams where users can share and modify each other's diagrams. The episode also explores the significance of involving a community around new features and the value of user feedback in improving data products.

Introduction

2min

Diagram Software, Community Tools, and Visual Calculations

5min

Challenges with DAX and Table Clones

7min

Treating Data Projects as Products and Implementing Agile Scrum Methodology

6min

Data Projects vs. Data Products

21min

Implementing a Data Culture with Scrum and Agile

17min

The Importance of Establishing a Business Intelligence Department

8min

The Evolution of Business Intelligence and Finding the Right Process

3min

Mike, Seth, & Tommy discuss an article by Umesh Bhatt that challenges the norm around building our reports as projects and when does the project end? Should we moving to agile, or should we focusing on our reports as products within the organization?

https://medium.com/@8thcross/data-product-operating-model-a885a754c476

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