Parhaat Socialmediaanalytics Podcastit (2024)

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#257: Analyst Use Cases for Generative AI 1:05:35

11d ago1:05:35

1:05:35

udging by the number of inbound pitches we get from PR firms, AI is absolutely going to replace most of the work of the analyst some time in the next few weeks. It’s just a matter of time until some startup gets enough market traction to make that happen (business tip: niche podcasts are likely not a productive path to market dominance, no matter w…

1
#256: Live at MeasureCamp Chicago 1:27:17

25d ago1:27:17

1:27:17

For the first time since they've been a party of five, all of the Analytics Power Hour co-hosts assembled in the same location. That location? The Windy City. The occasion? Chicago's first ever MeasureCamp! The crew was busy throughout the day inviting attendees to "hop on the mic" with them to answer various questions. We covered everything from f…

1
#255: Dear APH-y: Career Inflection Points 59:23

1M ago59:23

59:23

To data analyst, or to data science? To individually contribute, or to manage the individual contributions of others? To mid-career pivot into analytics, or to… oh, hell yes! That last one isn’t really a choice, is it? At least, not for listeners who are drawn to this podcast. And this episode is a show that can be directly attributed to listeners.…

1
#254: Is Your Use of Benchmarks Above Average? with Eric Sandosham 1:04:35

2M ago1:04:35

1:04:35

It's human nature to want to compare yourself or your organization against your competition, but how valuable are benchmarks to your business strategy? Benchmarks can be dangerous. You can rarely put your hands on all the background and context since, by definition, benchmark data is external to your organization. And you can also argue that benchm…

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#253: Adopting a Just In Time, Just Enough Data Mindset with Matt Gershoff 1:08:03

2M ago1:08:03

1:08:03

While we don’t often call it out explicitly, the driving force behind much of what and how much data we collect is driven by a "just in case" mentality: we don't know exactly HOW that next piece of data will be put to use, but we better collect it to minimize the potential for future regret about NOT collecting it. Data collection is an optionality…

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#252: The Ever-Shifting Operating Environment of the Data Professional 52:19

3M ago52:19

52:19

Broadly writ, we’re all in the business of data work in some form, right? It’s almost like we’re all swimming around in a big data lake, and our peers are swimming around it, too, and so are our business partners. There might be some HiPPOs and some SLOTHs splashing around in the shallow end, and the contours of the lake keep changing. Is lifeguard…

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#251: The Continued Rise of the Analytics Engineer with Dumky de Wilde 1:01:29

3M ago1:01:29

1:01:29

We're seeing the title "Analytics Engineer" continue to rise, and it’s in large part due to individuals realizing that there's a name for the type of work they've found themselves doing more and more. In today's landscape, there's truly a need for someone with some Data Engineering chops with an eye towards business use cases. We were fortunate to …

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#250: Real World Data (RWD) Lessons from Healthcare-land with Dr. Lewis Carpenter 1:05:03

4M ago1:05:03

1:05:03

A claim: in the world of business analytics, the default/primary source of data is real world data collected through some form of observation or tracking. Occasionally, when the stakes are sufficiently high and we need stronger evidence, we'll run some form of controlled experiment, like an A/B test. Contrast that with the world of healthcare, wher…

1
#249: Three Humans and an AI at Marketing Analytics Summit 46:12

4M ago46:12

46:12

How good are humans at distinguishing between human-generated thoughts and AI-generated…thoughts? Could doing an extremely unscientific exploration of the question also generate some useful discussion? We decided to dig in and find out with a show recorded in front of a live audience at Marketing Analytics Summit in Phoenix! With Michael in the rol…

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#248: The Fundamentally Fascinating World of APIs with Marco Palladino 1:07:45

5M ago1:07:45

1:07:45

Application Programming Interfaces (APIs) are as pervasive as they are critical to the functioning of the modern world. That personalized and content-rich product page with a sub-second load time on Amazon? That's just a couple-hundred API calls working their magic. Every experience on your mobile device? Loaded with APIs. But, just because they're…

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#247: Professional Development, Analytically Speaking with Helen Crossley 1:02:57

5M ago1:02:57

1:02:57

Professional development is a big topic—way more than just thinking about what job you want in five years and setting milestones along the way. Thankfully we had Helen Crossley, Senior Director of Marketing Science at Meta, join Michael, Moe, and Val to dive deep into this topic! We explored how to set really good, meaningful goals, the challenges …

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#246: I've Got 99 Analytical Methodologies and Need to Pick Just One 55:21

6M ago55:21

55:21

From running a controlled experiment to running a linear regression. From eyeballing a line chart to calculating the correlation of first differences. From performing a cluster analysis because that’s what the business partner asked for to gently probing for details on the underlying business question before agreeing to an approach. There are count…

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#245: Dear APH-y - An Analytics Advice Call-In Show 1:00:27

6M ago1:00:27

1:00:27

You know you’ve arrived as a broadcast presence when you open up the phone lines and get your first, "Long time listener, first time caller" person dialing in. Apparently, we have not yet arrived, because no one opened with that when they sent in their questions for this show. Our question is: why not?! Alas! That is a question not answered on this…

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#244: Data Is Everywhere. Why Do We Limit Ourselves by Default? 1:01:18

6M ago1:01:18

1:01:18

In order to produce a stellar analysis, have you ever requested a team to teardown a Tesla and count every last washer and battery cell? No? Well our guest this week, Jason DeRise, joined Tim, Julie, and Val to share that story and others on how alternative data can be used to enrich analyses. Luckily you don’t have to have a Wall Street-sized budg…

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#243: Being Data-Driven: a Statistical Process Control Perspective with Cedric Chin 1:14:20

7M ago1:14:20

1:14:20

It happens occasionally. Someone in the business decides they need to just take the analysis into their own hands. That leaves the analyst conflicted — love the interest and enthusiasm, but cringe at the risk of misuse or misinterpretation. Occasionally (rarely!), though, such a person goes so deep that they come out the other side having internali…

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#242: The Rise and Fall of Data Communities with Pedram Navid 58:37

7M ago58:37

58:37

Data communities have played a major role in the careers of many analysts, but times they are a-changin'. We're not sure if we're different, if the communities' purposes and missions have shifted, or both. One thing we are confident in, though, is that Pedram Navid was absolutely the right guest to invite on to the show to explore the topic alongsi…

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(Bonus) Marketing Analytics Summit Is Nigh! 13:08

8M ago13:08

13:08

Long-time listeners to this show know that its origin and inspiration was the lobby bar of analytics conferences—the place where analysts casually gather to unwind after a day of slides interspersed with between-session conversations initiated awkwardly and then ended abruptly when the next session begins. Of the many conferences where this occurs,…

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#241: The Analyst's Underutilized Tool: the Sketchbook with Dan White 1:05:24

8M ago1:05:24

1:05:24

As a general rule, analysts are drawn to precision: let's understand the business problem and then go figure out how the data can be acquired and crunched to provide something specific and useful. Fair enough. Where, then, do pencil and paper and 10-second sketches fit in? Or hastily and collaboratively drawn flippy chart or whiteboard sketches? We…

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#240: Asking Better Questions with Taylor Buonocore Guthrie 1:11:56

8M ago1:11:56

1:11:56

They say an analysis is only as good as the question that was asked, so for our 2024 International Women's Day Episode, Julie, Moe, and Val were joined by Taylor Buonocore Guthrie to discuss how to ask better questions. Every analyst is naturally curious, but the thoughtfulness that Taylor puts into what type of questions to ask, how to ask them, a…

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#239: Non-Technical Backgrounds in the Modern Analytical World with Kirsten Lum 1:02:39

9M ago1:02:39

1:02:39

Is it just us, or does it seem like we're going to need to start plotting the pace of change in the world of analytics on a logarithmic scale? The evolution of the space is exciting, but it can also be a bit dizzying. And intimidating! There's so much to learn, and there are only so many hours in a day! Why did we choose that [insert totally unrela…

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#238: The Many Problems in Dealing with Data Problems 45:49

9M ago45:49

45:49

The data has problems. It ALWAYS has problems. Sometimes they're longstanding and well-documented issues that the analyst deeply understands but that regularly trip up business partners. Sometimes they're unexpected interruptions in the data flowing through a complex tech stack. Sometimes they're a dashboard that needs to have its logic tweaked whe…

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#237: Crossing the Chasm from the Data to Meaningful Outcomes with Kathleen Maley 1:04:44

10M ago1:04:44

1:04:44

The backlog of data requests keeps growing. The dashboards are looking like they might collapse under their own weight as they keep getting loaded with more and more data requested by the business. You're taking in requests from the business as efficiently as you can, but it just never ends, and it doesn't feel like you're delivering meaningful bus…

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#236: The AI Ecosystem with Matthew Lynley 1:04:36

10M ago1:04:36

1:04:36

Aptiv, Baidu, Cerebras, Dataiku… we could keep going… and going… and going. If you know what this list is composed of (nerd), then you probably have some appreciation for how complex and fast moving the AI landscape is today. It would be impossible for a mere human to stay on top of it all, right? Wrong! Our guest on this episode, Matthew Lynley, d…

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#235: 2023 Year in Review with Josh Crowhurst 1:06:54

11M ago1:06:54

1:06:54

For those who celebrate or acknowledge it, Christmas is now in the rearview mirror. Father Time has a beard that reaches down to his toes, and he’s ready to hand over the clock to an absolutely adorable little Baby Time when 2024 rolls in. That means it’s time for our annual set of reflections on the analytics and data science industry. Somehow, th…

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#234: Establishing Expectations for Analysts 1:00:41

11M ago1:00:41

1:00:41

It would be a fool's errand to try to list out every expectation for an analyst's role, but where should you draw the line? How specific do you need to be? And how can you document the unspoken expectations without stepping into micromanagement? Tim, Moe, and Julie took a run at hashing these questions out in our most recent episode so you don't ha…

Kuuntelemisen arvoisia podcasteja

Socialmediaanalytics podcastit

Kuuntelemisen arvoisia podcasteja

1
The Analytics Power Hour

Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, and Julie Hoyer

1
#257: Analyst Use Cases for Generative AI 1:05:35

1
#256: Live at MeasureCamp Chicago 1:27:17

1
#255: Dear APH-y: Career Inflection Points 59:23

1
#254: Is Your Use of Benchmarks Above Average? with Eric Sandosham 1:04:35

1
#253: Adopting a Just In Time, Just Enough Data Mindset with Matt Gershoff 1:08:03

1
#252: The Ever-Shifting Operating Environment of the Data Professional 52:19

1
#251: The Continued Rise of the Analytics Engineer with Dumky de Wilde 1:01:29

1
#250: Real World Data (RWD) Lessons from Healthcare-land with Dr. Lewis Carpenter 1:05:03

1
#249: Three Humans and an AI at Marketing Analytics Summit 46:12

1
#248: The Fundamentally Fascinating World of APIs with Marco Palladino 1:07:45

1
#247: Professional Development, Analytically Speaking with Helen Crossley 1:02:57

1
#246: I've Got 99 Analytical Methodologies and Need to Pick Just One 55:21

1
#245: Dear APH-y - An Analytics Advice Call-In Show 1:00:27

1
#244: Data Is Everywhere. Why Do We Limit Ourselves by Default? 1:01:18

1
#243: Being Data-Driven: a Statistical Process Control Perspective with Cedric Chin 1:14:20

1
#242: The Rise and Fall of Data Communities with Pedram Navid 58:37

1
(Bonus) Marketing Analytics Summit Is Nigh! 13:08

1
#241: The Analyst's Underutilized Tool: the Sketchbook with Dan White 1:05:24

1
#240: Asking Better Questions with Taylor Buonocore Guthrie 1:11:56

1
#239: Non-Technical Backgrounds in the Modern Analytical World with Kirsten Lum 1:02:39

1
#238: The Many Problems in Dealing with Data Problems 45:49

1
#237: Crossing the Chasm from the Data to Meaningful Outcomes with Kathleen Maley 1:04:44

1
#236: The AI Ecosystem with Matthew Lynley 1:04:36

1
#235: 2023 Year in Review with Josh Crowhurst 1:06:54

1
#234: Establishing Expectations for Analysts 1:00:41

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