The podcast will be available on https://utreon.com/c/AnalyticsandPrivacyPodcast from now on. The remaining episodes of season 1 will continue to be available on Buzzsprout, as usual.Stay tuned!

Potpourri of Questions for the Data Diva (interview with Debbie Reynolds)

Jul 6th, 2022 34m 49s

You know how it is when you meet someone and you can go on talking for hours? That’s how it was in this interview with Debbie Reynolds, a data privacy professional who’s known as the data diva. Fortunately, I managed to keep the interview rela

Machine Learning model testing (interview with Yunus E. Bulut)

Jun 22nd, 2022 40m 24s

It may seem like something simple that you can do on your own, or even delegate to a junior member of your team. However, ML testing is much more complex when dealing with performance critical data products that require not just a solid model

Programming Languages for Data Analytics (interview with Arnuld On Data)

Jun 8th, 2022 43m 21s

Programming languages may seem a quite technical topic, but when it comes to data analytics, it’s hard to ignore them. This is especially the case when we delve into data science projects. In this relatively impromptu interview episode, I’ll b

Private Data in Everyday Activities – Social Media & Online Communications

May 25th, 2022 20m 36s

In an effort to get closer to real-world situations, much like in episode 4, in the next few episodes, we’ll delve into everyday activities and where private data can be found there. In this episode, we’ll explore the datascape of social media

Keeping Excel and other data files private

May 11th, 2022 21m 5s

Privacy in data files, be in .xlsx ones or .csv, is often a concern when it comes to sensitive data. The latter can be PII-related or not. As an analytics professional or anyone dealing with such files, you may want to keep them private, to avo

Cloud Storage as a High-risk Privacy Scenario

Apr 27th, 2022 20m 23s

Cloud storage is something most of us deal with in our daily lives. In fact, you may be using the cloud for storing files from your phone, even without realizing it. It’s even more intrusive when it comes to specialized gadgets like the reMarka

Compression and Encryption as Privacy Tools

Apr 13th, 2022 20m 21s

Things are a bit more technical in this episode but not so much that you won’t be able to follow it. After all, we need to get into the nitty-gritty at one point and look at particular technologies and methodologies that can help make privacy a

Privacy in Virtual Desktops and Online Applications

Mar 30th, 2022 20m 14s

Who doesn’t like online apps? I know I do, which is why I’m a big fan of FOSS and other kinds of software that make my data analytics work easier. I’m sure you know about this sort of applications and perhaps even use some of them regularly. D

Real-world Scenarios Where Privacy is at Risk

Mar 16th, 2022 20m 32s

If privacy was a given, we wouldn’t be talking about it that much, right? Well, that’s what this episode is all about, examining where privacy is at risk, both in our personal lives and in the workplace. One can never be too careful! But what

The Ethics of Analytics Work and Personally Identifiable Information

Mar 2nd, 2022 20m 53s

Ethics may be a field in Philosophy but it’s also something very practical and necessary in our line of work. That’s especially the case when we deal with sensitive data, such as that related to personally identifiable information. But what are

A Common Business Language for Successful Analytics (interview with Steve Hoberman)

Feb 16th, 2022 25m 48s

So far, we have gotten an idea about privacy and analytics from a high-level standpoint. What about the business world though? How does privacy look from a data professional’s perspective who is also a business person and works closely with ot

Value of Privacy, Especially in Analytics Work

Feb 2nd, 2022 19m 24s

What’s the value of privacy? How does it relate to analytics? What’s personally identifiable information? These are questions many of us have had, questions this episode attempts to answer. Without getting too technical, but without oversimpli

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