Managerial Analytics: Powering Your Career

David Dirks
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Every manager today may not have the need to know how to program in R or SQL but every manager at every level needs to know how to solve key business challenges using data analytics. This podcast is dedicated to helping managers around the globe to hone their skills and knowledge around managing data to solve the business challenges they face.

集數

  1. 2020/10/25

    Behavorial vs. Predictive Analytics

    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.

    4 分鐘

  2. 2020/10/25

    Millennials and Data Anaytics

    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.

    5 分鐘

  3. 2020/10/25

    Today's Manager and Big Data

    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. institutemanagerialanalytics@gmail.com

    5 分鐘

  4. 2020/09/20

    Customer Profitability: Three Key Questions

    Three key questions related to customer profitability that every manager should be asking.   Co-author of "The New Marketing Analytics" David Dirks discusses his observations & insights on data & managerial analytics in his short podcast sessions.  You can reach him at: institutemanagerialanalytics@gmail.com

    5 分鐘

  5. 2020/09/20

    Where Will The Next Gen of Data Scientists & Analysts Come From?

    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. Co-author of "The New Marketing Analytics" David Dirks discusses his observations & insights on data & managerial analytics in his short podcast sessions.  You can reach him at: institutemanagerialanalytics@gmail.com

    7 分鐘

  6. 2020/09/20

    Amazon Prime & Data Analytics

    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.   Co-author of "The New Marketing Analytics" David Dirks discusses his observations & insights on data & managerial analytics in his short podcast sessions.  You can reach him at: institutemanagerialanalytics@gmail.com

    5 分鐘

  7. 2020/09/20

    Loyalty Programs & Data Analytics

    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.   Loyalty programs are the most common tools used by business owners to keep there customers coming back for more.  In this segment, Dave discusses some insights on how to think about loyalty programs in the context of customer analytics. Co-author of "The New Marketing Analytics" David Dirks discusses his observations & insights on data & managerial analytics in his short podcast sessions.  You can reach him at: institutemanagerialanalytics@gmail.com

    6 分鐘

  8. 2020/09/20

    Predictive Analytics: Consider this First...

    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. Co-author of "The New Marketing Analytics" David Dirks discusses his observations & insights on data & managerial analytics in his short podcast sessions.  You can reach him at: institutemanagerialanalytics@gmail.com

    9 分鐘

  9. 2020/09/20

    Small Business & Big Data Spells Opportunity

    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. In this video clip, I give you two real-life examples of two businesses who have missed the boat - one with dire consequences. Don't be those businesses! Co-author of "The New Marketing Analytics" David Dirks discusses his observations & insights on data & managerial analytics in his short podcast sessions.  You can reach him at: institutemanagerialanalytics@gmail.com

    6 分鐘

  10. 2020/09/19

    The Opportunity of Customer Analytics

    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! Co-author of "The New Marketing Analytics" David Dirks discusses his observations & insights on data & managerial analytics in his short podcast sessions.  You can reach him at: institutemanagerialanalytics@gmail.com

    3 分鐘

  11. 2020/09/19

    Manager Alert: Beware of Algorithm Bias!

    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.   Co-author of "The New Marketing Analytics" David Dirks discusses his observations & insights on data & managerial analytics in his short podcast sessions.  You can reach him at: institutemanagerialanalytics@gmail.com

    3 分鐘

  12. 2020/09/19

    Data Governance in 7 Minutes

    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.   In this podcast we establish an overview of the how and why data governance is critical to you as a manager.   Co-author of "The New Marketing Analytics" David Dirks discusses his observations & insights on data & managerial analytics in his short podcast sessions.  You can reach him at: institutemanagerialanalytics@gmail.com

    7 分鐘
  • 共 12 集

簡介

Every manager today may not have the need to know how to program in R or SQL but every manager at every level needs to know how to solve key business challenges using data analytics. This podcast is dedicated to helping managers around the globe to hone their skills and knowledge around managing data to solve the business challenges they face.

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