Explorez tous les épisodes du podcast Managerial Analytics: Powering Your Career
| Titre | Date | Durée | |
|---|---|---|---|
| Behavorial vs. Predictive Analytics | 25 Oct 2020 | 00:04:28 | |
There's lots of hype behind the power of predictive analytics these days. Dave asks: Why isn't everyone doing it if it promises to be a way to improve your chances of a sale? Primarily because it isn't easy. In this first in a series, Dave takes a brief look at the differences between behavioral analytics and predictive analytics. | |||
| Millennials and Data Anaytics | 25 Oct 2020 | 00:04:40 | |
In this segment, Dave discusses his thoughts on a recent Wall Street Journal (Dave's favorite paper) article on how millennials are causing grocers heartburn because they can't seem to get them to spend more time in their stores or online buying more groceries. | |||
| Today's Manager and Big Data | 25 Oct 2020 | 00:04:41 | |
How is big data impacting managers? You can't be successful today without understanding how to work with data and get the most out of it to solve business problems of all shapes and sizes. | |||
| Customer Profitability: Three Key Questions | 20 Sep 2020 | 00:05:11 | |
Three key questions related to customer profitability that every manager should be asking. | |||
| Where Will The Next Gen of Data Scientists & Analysts Come From? | 20 Sep 2020 | 00:06:43 | |
From my estimation, we are woefully under-preparing the current and next generations of data-oriented employees. Dave discusses his concerns about the shortages of data experts - including his idea to have junior and senior high school academic programs include options for students to get acquainted with data analytics in all its forms. Getting our high schools and community colleges to take on the educational agenda for the next gen of data scientists and analysts may be the answer. | |||
| Amazon Prime & Data Analytics | 20 Sep 2020 | 00:05:04 | |
Amazon is a wonderful business model to study. One specific area as a marketer that appeals to me is its ability to create ways to expand its data sets on its customers. Amazon uses its excellent Prime service as a way to collect that valuable data - and increase the basket value of products that its Prime customers will buy over time. Smart marketing. | |||
| Loyalty Programs & Data Analytics | 20 Sep 2020 | 00:05:46 | |
What's the most valuable but under-utilized data in most businesses? Their customer service data! Organizations that collect customer service data very often don't think to mine it for insights and use it as one data set to integrate into other data sets to find key trends and insights. | |||
| Predictive Analytics: Consider this First... | 20 Sep 2020 | 00:08:43 | |
Before anyone even thinks about investing time and resources into moving towards predictive analytics for marketing - Dave covers three important considerations that can impact predictive analytics effectiveness: data accuracy, data refresh rate and data variability. | |||
| Small Business & Big Data Spells Opportunity | 20 Sep 2020 | 00:05:41 | |
In the media hype behind Big Data, we often forget that small business enterprises can also take advantage of data analytics. The challenge is that many businesses - even as we speak - still haven't either captured critical data and/or have bothered to organize the data they have. | |||
| The Opportunity of Customer Analytics | 19 Sep 2020 | 00:03:10 | |
What's the most valuable but under-utilized data in most businesses? Their customer service data! Organizations that collect customer service data very often don't think to mine it for insights and use it as one data set to integrate into other data sets to find key trends and insights. Don't make that mistake! | |||
| Manager Alert: Beware of Algorithm Bias! | 19 Sep 2020 | 00:03:19 | |
We often take for granted that the algorithms we have in our applications that help us crunch and analyze data are without any bias. As if they were constructed in a vacuum. The reality is much different. In this podcast, recorded a few years ago when we were releasing our book, "The New Marketing Analytics", Dave provides a high-level overview of how managers at all levels need to be aware of potential bias. People still develop the programming needed to run any kind of algorithm - and that means that there's always the possibility data analysis being skewed because of it. Not to say that its rampant but - every manager worth their salt need to ask about how bias has been considered and evaluated in any applications they might be thinking of purchasing. | |||
| Data Governance in 7 Minutes | 19 Sep 2020 | 00:07:00 | |
If your organization hasn't made an effort to govern the vast data it has from one end of the organization to the other, it might be your opportunity to help it along. Establishing the "rules of the road" in context to how your organizations data is collected, organized, maintained and utilized is a critical step called data governance. I recorded this soon after publishing "The New Marketing Analytics" and this was actually a YouTube video. | |||