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PODCAST

Experiencing Data w/ Brian T. O’Neill

Brian T. O’Neill from Designing for Analytics

Does the value of your insights, analytics, or automated intelligence product sometimes feel invisible to buyers and users? Does your product have impressive analytics and AI technology, but user adoption and sales still are not where you want them to be? While it has never been easier to build data-driven products, why does it still seem so hard to build indispensable data products that users can"t live without—and will gladly pay for? I’m Brian T. O’Neill, and on Experiencing Data — a Listen Notes

technology management

All Episodes

45:30

071 - The ROI of UX Research and How It Applies to...

Experiencing Data w/ Brian T. O’Neill ·

2021/08/10

There are many benefits in talking with end users and stakeholders about their needs and pain points before designing a data product. Just take it from Bill Albert, executive director of the Bentley University User Experience Center, author of Measuring the User Experience, and my guest for this week’s episode of Experiencing Data. With a career spanning more than 20 years in user experience research, design, and strategy, Bill has some great insights on how UX research is pivotal to designing a

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34:38

070 - Fighting Fire with ML, the AI Incident...

Experiencing Data w/ Brian T. O’Neill ·

2021/07/27

As much as AI has the ability to change the world in very positive ways, it also can be incredibly destructive. Sean McGregor knows this well, as he is currently developing the Partnership on AI’s AI Incident Database, a searchable collection of news articles that covers questionable use, failures, and other incidents that affect people when AI solutions are poorly designed. On this episode of Experiencing Data, Sean takes us through his notable work around using machine learning in the domain

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34:09

069 - The Role of Creativity and Product Thinking in ...

Experiencing Data w/ Brian T. O’Neill ·

2021/07/13

Doug Laney is the preeminent expert in the field of infonomics — and it’s not just because he literally wrote the book on it. As the Data & Analytics Strategy Innovation Fellow at consulting firm West Monroe, Doug helps businesses use infonomics to measure the economic value of their data and monetize it. He also is a visiting professor at the University of Illinois at Urbana-Champaign where he teaches classes on analytics and infonomics. On this episode of Experiencing Data, Doug and I talk

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52:08

068 - Why User Adoption of Enterprise Data Products...

Experiencing Data w/ Brian T. O’Neill ·

2021/06/29

Drew Smith knows how much value data analytics can add to a business when done right. Having worked at the IKEA Group for 17 years, Drew helped the company become more data-driven, implementing successful strategies for data analytics and governance across multiple areas of the company. Now, Drew serves as the Executive Vice President of the Analytics Leadership Consortium at the International Institute for Analytics, where he helps Fortune 1000 companies successfully leverage analytics and

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35:11

067 - Why Roche Diagnostics’ BI and Data Science...

Experiencing Data w/ Brian T. O’Neill ·

2021/06/15

On today’s episode of Experiencing Data, I’m so excited to have Omar Khawaja on to talk about how his team is integrating user-centered design into data science, BI and analytics at Roche Diagnostics. In this episode, Omar and I have a great discussion about techniques for creating more user-centered data products that produce value — as well as how taking such an approach can lead to needed change management on how data is used and interpreted. In our chat, we covered: What Omar is

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30:28

066 - How Alison Magyari Used Design Thinking to...

Experiencing Data w/ Brian T. O’Neill ·

2021/06/01

Earlier this year, the always informative Women in Analytics Conference took place online. I didn’t go — but a blog post about one of the conference’s presentations on the International Institute of Analytics’ website caught my attention. The post highlighted key points from a talk called Design Thinking in Analytics that was given at the conference by Alison Magyari, an IT Manager at Eaton. In her presentation, Alison explains the four design steps she utilizes when starting a new project — as

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30:50

065 - Balancing Human Intuition and Machine...

Experiencing Data w/ Brian T. O’Neill ·

2021/05/18

I once saw a discussion on LinkedIn about a fraud detection model that had been built but never used. The model worked — it was expensive — but it just simply didn’t get used because the humans in the loop were not incentivized to use it. It was on this very thread that I first met Salesforce Director of Product Management Pavan Tuvu, who chimed in on the thread about a similar experience he went through. When I heard about his experience, I asked him if he would share it with you and he agreed

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28:59

064 - How AI Shapes the Products of Startups in MIT’s...

Experiencing Data w/ Brian T. O’Neill ·

2021/05/04

Reed Sturtevant sees a lot of untapped potential in “tough tech.” As a General Partner at The Engine, a venture capital firm launched by MIT, Reed and his colleagues invest in companies with breakthrough technology that, if successful, could positively transform the world. It’s been about 15 years since I’ve last caught up to Reed—who was CTO at a startup we worked at together—so I’m so excited to welcome him on this episode of Experiencing Data! Reed and I talked about AI and how some of the

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35:30

063 - Beyond Compliance: Designing Data Products With...

Experiencing Data w/ Brian T. O’Neill ·

2021/04/20

Debbie Reynolds is known as “The Data Diva” — and for good reason. In addition to being founder, CEO and chief data privacy officer of her own successful consulting firm, Debbie has been named to the Global Top 20 CyberRisk Communicators by The European Risk Policy Institute in 2020. She’s also written a few books, such as The GDPR Challenge: Privacy, Technology, and Compliance In An Age of Accelerating Change; as well as articles for other publications. If you are building data products,

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38:28

062 - Why Ben Shneiderman is Writing a Book on the...

Experiencing Data w/ Brian T. O’Neill ·

2021/04/06

Ben Shneiderman is a leading figure in the field of human-computer interaction (HCI). Having founded one of the oldest HCI research centers in the country at the University of Maryland in 1983, Shneiderman has been intently studying the design of computer technology and its use by humans. Currently, Ben is a Distinguished University Professor in the Department of Computer Science at the University of Maryland and is working on a new book on human-centered artificial intelligence. I’m so excited

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34:23

061 - Applying a Product Mindset to Internal Data...

Experiencing Data w/ Brian T. O’Neill ·

2021/03/23

Marty Cagan has had a storied career working as a product executive. With a resume that includes Vice President of Product at Netscape and Ebay, Marty is an expert in product management and strategy. This week, Marty joins me on Experiencing Data to talk more about what a successful data product team looks like, as well as the characteristics of an effective product manager. We also explored the idea of product management applied to internal data teams. Marty and I didn’t necessarily agree on

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36:52

060 - How NPR Uses Data to Drive Editorial Decisions...

Experiencing Data w/ Brian T. O’Neill ·

2021/03/09

Journalism is one of the keystones of American democracy. For centuries, reporters and editors have kept those in power accountable by seeking out the truth and reporting it. However, the art of newsgathering has changed dramatically in the digital age. Just take it from NPR Senior Director of Audience Insights Steve Mulder — whose team is helping change the way NPR makes editorial decisions by introducing a streamlined and accessible platform for data analytics and insights. Steve and I go way,

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43:08

059 - How Design Thinking Helps Organizations and...

Experiencing Data w/ Brian T. O’Neill ·

2021/02/23

With a 30+ year career in data warehousing, BI and advanced analytics under his belt, Bill has become a leader in the field of big data and data science – and, not to mention, a popular social media influencer. Having previously worked in senior leadership at DellEMC and Yahoo!, Bill is now an executive fellow and professor at the University of San Francisco School of Management as well as an honorary professor at the National University of Ireland-Galway. I’m so excited to welcome Bill as my guest

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35:04

058 - IoT Spotlight: 8 UI / UX Strategies for...

Experiencing Data w/ Brian T. O’Neill ·

2021/02/09

On this solo episode of Experiencing Data, I discussed eight design strategies that will help your data product team create immensely valuable IOT monitoring applications. Whether your team is creating a system for predictive maintenance, forecasting, or root-cause analysis – analytics are often a big part of helping users make sense of the huge volumes of telemetry and data an IOT system can generate. Often times, product or technical teams see the game as, “how do we display all the telemetry from

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56:50

057 - How to Design Successful Enterprise Data...

Experiencing Data w/ Brian T. O’Neill ·

2021/01/26

Designing a data product from the ground up is a daunting task, and it is complicated further when you have several different user types who all have different expectations for the service. Whether an application offers a wealth of traditional historical analytics or leverages predictive capabilities using machine learning, for example, you may find that different users have different expectations. As a leader, you may be forced to make choices about how and what data you’ll present, and how you

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39:40

056 - How Design Helps Drive Adoption of Data...

Experiencing Data w/ Brian T. O’Neill ·

2021/01/12

There’s a lot at stake in the decisions that social workers have to make when they care for people — and Dr. Besa Bauta keeps this in mind when her teams are designing the data products that care providers use in the field. As Chief Data Officer at MercyFirst, a New York-based social service nonprofit, Besa explains how her teams use design and design thinking to create useful decision support applications that lead to improved clinician-client interactions, health and well-being outcomes, and

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39:41

055 - What Can Carol Smith’s Ethical AI Work at the...

Experiencing Data w/ Brian T. O’Neill ·

2020/12/29

It’s not just science fiction: As AI becomes more complex and prevalent, so do the ethical implications of this new technology.But don’t just take it from me – take it from Carol Smith, a leading voice in the field of UX and AI. Carol is a senior research scientist in human-machine interaction at Carnegie Mellon University’s Emerging Tech Center, a division of the school’s Software Engineering Institute. Formerly a senior researcher for Uber’s self-driving vehicle experience, Carol-who also works as

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42:44

054 - Jared Spool on Designing Innovative ML/AI and...

Experiencing Data w/ Brian T. O’Neill ·

2020/12/15

Jared Spool is arguably the most well-known name in the field of design and user experience. For more than a decade, he has beena witty, powerful voice for why UX is critical to value creation within businesses. Formerly an engineer, Jared started working in UX in 1978, founded UIE (User Interface Engineering) in 1988, and has helped establish the field over the last 30 years. In addition, he advised the US Digital Service / Executive Office of President Obama and in 2016, Jared co-founded the

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40:19

053 - Creating (and Debugging) Successful Data...

Experiencing Data w/ Brian T. O’Neill ·

2020/12/01

In this episode of Experiencing Data, I speak with Jesse Anderson, who is Managing Director of the Big Data Institute and author of a new book titled, Data Teams: A Unified Management Model for Successful Data-Focused Teams. Jesse opens up about why teams often run into trouble in their efforts to build data products, and what can be done to drive better outcomes. In our chat, we covered: Jesse’s concept of debugging teams How Jesse defines a data product, how he distinguishes them from software

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44:48

052 - Reasons Automated Decision Making with Machine...

Experiencing Data w/ Brian T. O’Neill ·

2020/11/17

In this episode of Experiencing Data, I sat down with James Taylor, the CEO of Decision Management Solutions. This discussion centers around how enterprises build ML-driven software to make decisions faster, more precise, and more consistent-and why this pursuit may fail. We covered: The role that decision management plays in business, especially when making decisions quickly, reliably, consistently, transparently and at scale. The concept of the "last mile," and why many companies fail to get their

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154 results

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