Before big data was a known term, Dacheng Zhao has pioneered innovative data products that make an impact at scale. There are plenty of attributes that make data products unique in how they provide solutions to users. Dacheng outlines why data products matter and how great data drives compelling product solutions.

How Data Products Create Real Solutions

Like most product managers, my career started in a completely different field – which for me was management consulting. After a while, I realized that what I really wanted to do was build products. Specifically, I wanted to take small items and turn them into large-scale solutions. Since becoming a product manager, I’ve been fortunate to work for companies who are committed to producing data products that deliver meaningful solutions for users.

There are multiple factors that go into creating great products. However, using data effectively can quickly create an experience that will delight customers at scale. For example, one of the first data products that I created at LinkedIn was a “career forecaster” solution. In other words, we could use LinkedIn’s vast data set to map a user’s career alongside someone whose career followed a similar trajectory. Specifically, we identified users that were five years further along in their career than a targeted user.

On the surface, this is a very unique solution and one that I’d say is easy to say provides value. Furthermore, you would think that its success was purely driven by the user experience. However, the secret sauce in great data products is the quality of the data. Without LinkedIn’s database of user profiles and data points to draw from, there’s no way that the “career forecaster” would have been that successful. Simply put, you can create a delightful experience for users if you have great data behind it.

Along these lines, my career as a product manager has revolved exclusively around data products.

To me, the motivation for making great products always comes back to one thing. It’s all about taking a problem that’s hard to quantify and making a credible solution to solve it. Furthermore, I would never consider building a product that didn’t bring tangible delight to its user base.

For example, I’m drawn to data products that are task-specific and provide value for people’s daily activities. Similarly, my current focus at Google is to analyze our user data in ways to improve efficiency with advertising spends on our platform. Ultimately, impactful products are those that draw from a wide dataset that enables unique solutions to take shape and make an immediate difference for users.

Click here for Part 2

Click here for Part 3

About the speaker
Dacheng Zhao Google, Product Lead Member

Dacheng Zhao is a Product Leader at Google - focusing on data products that optimize advertising budgets for Google Ad partners. Prior to joining Google, Dacheng worked at LinkedIn - managing business development / operations products that enhanced the platform's user experience. In addition, Dacheng founded HelpPing and held leadership roles at Opera Solutions and Applied Predictive Technologies. Dacheng holds a Master of Engineering from Massachusetts Institute of Technology - and currently lives in the San Francisco Bay Area.

About the host
Mark Pydynowski Products That Count, Podcast Host on Product Talk

Mark has deep experience (1) bringing new B2B products to market, (2) leading early-stage sales and business development, and (3) conducting user research. He has conducted 1,200+ user interviews over the past 10+ years building and selling new products (software and hardware). Mark runs, a blog to help WashU students learn how to land their first job from alumni that have already landed theirs.

Provide your rating for this post
If you liked this post, please use the buttons to the left to share it with a friend or post it on social media. Thank you!

Leave a Reply

Read more

Data Products Solving Long-Term Challenges

Data products provide approaches to long-term challenges by applying predictive analytics to processes that normally require manual testing

Optimizing Features For Data Products

One of the biggest challenges in managing data products is how to best optimize features, balancing what to improve versus what to delete.

/ Register for Free

Don’t be left behind in your career. Join a growing community of over 500K Product professionals committed to building great products. Register for FREE today and get access to :

  • All eBooks
  • All Infographics
  • Product Award resources
  • Search for other members

Coming soon for members only: personalized content, engagement, and networking.