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Unleash the Power of Data: A Comprehensive Guide to Designing Great Data Products

Jese Leos
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Published in Designing Great Data Products Daniel Humm
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In today's data-driven world, organizations that can effectively harness the power of data gain a significant competitive advantage. Data products have emerged as a crucial tool for businesses to make better decisions, improve operations, and create value for their customers.

Designing Great Data Products Daniel Humm
Designing Great Data Products
by Daniel Humm

4.2 out of 5

Language : English
File size : 2721 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 28 pages

However, designing great data products is a complex and challenging task. It requires a deep understanding of user needs, data science principles, and design best practices. Daniel Humm, a leading expert in data product design, has created a comprehensive guide that provides a blueprint for every step of the process.

What is a Data Product?

A data product is any product or service that leverages data to provide value to users. This can include a wide range of applications, such as:

  • Data dashboards and visualizations
  • Machine learning models
  • Data marketplaces
  • Data analytics platforms

Data products are essential for organizations that want to make data-driven decisions, improve customer experiences, and drive innovation. However, not all data products are created equal. Some are poorly designed and fail to meet the needs of users, while others are highly successful and have a major impact on businesses.

The Secrets of Great Data Product Design

In his book, Designing Great Data Products, Daniel Humm reveals the secrets to creating data products that users love and that drive business success. He covers every step of the design process, from understanding user needs to measuring impact.

Some of the key principles of great data product design include:

  • User-centricity: Data products should be designed around the needs of the users. This means understanding their goals, motivations, and pain points.
  • Simplicity: Data products should be easy to use and understand. Users should be able to quickly find the information they need and take action.
  • Actionability: Data products should provide users with actionable insights that they can use to make better decisions.
  • Measurability: The impact of data products should be measured and tracked. This allows organizations to identify what is working and what needs to be improved.

Real-World Examples of Great Data Products

Daniel Humm's book is filled with real-world examples of great data products. These include:

  • Google Analytics: A data analytics platform that helps businesses track website traffic and user behavior.
  • Salesforce: A customer relationship management platform that helps businesses manage their sales and marketing activities.
  • Our Book Library Web Services: A cloud computing platform that provides businesses with access to a wide range of data services.

These data products have all been designed with the user in mind. They are easy to use, provide actionable insights, and have a major impact on businesses.

Designing Great Data Products is an essential guide for anyone who wants to create data products that drive business success and user satisfaction. Daniel Humm provides a comprehensive blueprint for every step of the process, from understanding user needs to measuring impact. By following the principles outlined in this book, you can create data products that will empower your organization and transform your business.

About the Author

Daniel Humm is a leading expert in data product design. He has over 15 years of experience in the field, and has worked with some of the world's largest companies, including Google, Our Book Library, and Microsoft. Daniel is the founder of Humm & Co., a data product design consultancy, and is a frequent speaker at industry conferences.

Daniel's book, Designing Great Data Products, is the culmination of his years of experience in the field. It is a must-read for anyone who wants to create data products that make a difference.

Designing Great Data Products Daniel Humm
Designing Great Data Products
by Daniel Humm

4.2 out of 5

Language : English
File size : 2721 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 28 pages
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The book was found!
Designing Great Data Products Daniel Humm
Designing Great Data Products
by Daniel Humm

4.2 out of 5

Language : English
File size : 2721 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 28 pages
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