The 10 Minute Business Analytics Podcast | Data Analytics, Big Data, Data Visualization, Data Warehousing-logo

The 10 Minute Business Analytics Podcast | Data Analytics, Big Data, Data Visualization, Data Warehousing

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The 10 Minute Business Analytics Podcast is a weekly podcast that covers any and all data related topics. Every week, we host a guest from business, government, public sector, private sector, and key executives from some of the biggest brands on the planet. These discussion are pragmatic and are borne from the experience of our guests where they share tips, tricks, lessons-learned, advice, triumphs, and failures - the inside-scoop from data leaders and business intelligence professionals. Topics are relevant to business leaders and data professionals everywhere; we discuss the latest thinking on big data, analytics, applications for business, new data and analytics technologies, and implications for the enterprise.

The 10 Minute Business Analytics Podcast is a weekly podcast that covers any and all data related topics. Every week, we host a guest from business, government, public sector, private sector, and key executives from some of the biggest brands on the planet. These discussion are pragmatic and are borne from the experience of our guests where they share tips, tricks, lessons-learned, advice, triumphs, and failures - the inside-scoop from data leaders and business intelligence professionals. Topics are relevant to business leaders and data professionals everywhere; we discuss the latest thinking on big data, analytics, applications for business, new data and analytics technologies, and implications for the enterprise.
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Location:

United States

Description:

The 10 Minute Business Analytics Podcast is a weekly podcast that covers any and all data related topics. Every week, we host a guest from business, government, public sector, private sector, and key executives from some of the biggest brands on the planet. These discussion are pragmatic and are borne from the experience of our guests where they share tips, tricks, lessons-learned, advice, triumphs, and failures - the inside-scoop from data leaders and business intelligence professionals. Topics are relevant to business leaders and data professionals everywhere; we discuss the latest thinking on big data, analytics, applications for business, new data and analytics technologies, and implications for the enterprise.

Language:

English


Episodes

EP25: C-Level Analytics at Proctor & Gamble

11/20/2017
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Large companies today are quite happy to use analytics for a wide range of tactical decisions, such as product assortment and identifying the most efficient distribution channel. But when it comes to bigger strategic decisions, C-level executives are more tentative. Their gut judgments are still their preferred decision-making mechanism. David Dittman is the director of business intelligence and analytics services for Procter & Gamble, which reported $65.1 billion in revenue last year....

Duration:00:13:19

EP24: KPMG on Why Marketers Should Learn Data Analytics

11/13/2017
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IT professionals, in general, are excellent at answering direct questions. Volunteering information that the questioner doesn't know about.... well, that's very different. That is one of the reasons why marketers tend to get frustrated when asking analytics questions of their IT partners. For some on the IT side, a datalake is a very easy and convenient answer to almost any analytics question. Todd Cullen is the Customer Insight & Analytics Practice Leader at KPMG. Todd argues that...

Duration:00:12:36

EP23: Machine Learning in the Fortune 100

11/6/2017
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Few things in business analytics have gotten the excitement and, yes, the hype as Machine Learning. It fires up the imagination of every sci-fi loving data scientist, with images of true thinking computers adapting and learning new tasks on their own. The good news is that Machine Learning works and it can indeed do all of that. The bad news is that it can’t do those things as well, as fast or as easily as the hype suggests. There are quite a few things that Machine Learning can do quite...

Duration:00:08:21

EP22: Using Predictive Analytics for Direct Marketing

10/30/2017
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Direct Marketing focuses on potential customers that are predicted as likely to buy. But is that in fact the best approach? Is it not a better approach to instead target those who are the most likely to be persuaded to buy? Is the point of a marketing campaign to increase purchases or to change minds—and THEN increase purchases. To figure this out, we have with us Eric Siegel is the founder of the Predictive Analytics World Tradeshow.

Duration:00:11:20

EP21: Point of Sale Data Analytics with TSYS, Largest Payment Processor in the US

10/23/2017
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When a consumer walks into a grocery store … buys some apples … and pays with a Visa credit card, …. Who owns that data? The grocery store? The shopper’s bank? The retailer’s bank? Visa? The processor in the middle? The shopper herself? All of the above? Payment companies today can crunch that purchase data a million different ways, but they struggle with who has the right to leverage it? Then there are regulatory issues. Payment rules such as PCI put restrictions on security handling of...

Duration:00:12:32

EP26: Banking Analytics at Bank of America

10/23/2017
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Predicting cashflow is certainly common enough, but what about predicting the costs ASSOCIATED with cashflow? What are the specific financial impacts of moving from check to ACH in terms of speed and costs? Should you offer a discount to encourage preferred payment methods? And, if so, how MUCH of a discount can you justify? Also, what are the costs of matching invoices and fixing invoice typos? There clearly IS a cost, but have you ever calculated precisely what it IS? One person who HAS...

Duration:00:12:04

EP20: HR Analytics at Memorial Sloan Kettering Cancer Center

10/16/2017
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When Human Resources executives discuss analytics, topics turn to employee evaluations and various indicators of happiness levels. But for Roy Altman, the manager of HR Analytics for the Memorial Sloan Kettering Cancer Center, he wanted to understand how employees work together. He saw an almost total absence of metrics about how employees mesh together. All of the analytics explored employees as individuals, never as part of a group. Altman, who oversees a wide range of personnel analytics...

Duration:00:09:31

EP19: Neiman Marcus Omnichannel Retail Marketing

10/9/2017
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One of the oldest concepts in retail marketing is single view of the customer. That simply means recognizing the shopper as she moves from desktop to mobile device to calling a call center to visiting a physical store. But shoppers share desktop devices with family members and many use multiple mobile devices throughout the day. So how accurately and reliably can those shoppers indeed be tracked? Into this effort goes analytics and probabilistic identification. Jeff Rosenfeld, the VP of...

Duration:00:10:49

EP18: Location and Timing Based Marketing Analytics

10/2/2017
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All day long, mobile devices are being bombarded with shopping offers. Marketing analytics routinely explores which offers are likely to be accepted and which will be ignored. But does it make a difference if that sales pitch arrives when shoppers are sit

Duration:00:11:10

EP17: Data Analytics to Assess Health of a Customer with Hal Halliday from Infusionsoft

9/25/2017
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Outsourcing sales and customer support to a third-party is a common tactic for growing companies, but it can be quite unnerving. Are your customers and prospects being properly taken care of? Are your renewal and acquisition rates lower than they would be if your internal people handled it all? In one sense, that’s a classic what-if query. The problem is it’s almost impossible to know what customers and prospects would have done differently with different people. Infusionsoft, a Goldman...

Duration:00:12:05

EP16: Why Overconfidence in Algorithms is Bad for Data Analytics with Professor Jeff Camm

9/18/2017
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The dictionary defines optimal as best, as in “the optimal approach is the best approach.” But when it comes to analytics and making the right decision, Jeff Camm argues that optimal is very often far from optimal. Camm is the associate dean of business analytics at the Wake Forest School of Business. Camm points to misplaced confidence in algorithms. In his research, he found that the best analytics recommendation for most enterprises is almost NEVER the choice that is mathematically ideal....

Duration:00:10:48

EP15: Data Preparation and Cleansing - Why the Boring Stuff is Important with Barry Devlin

9/12/2017
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Interview with Barry Devlin, recognized as the Father of the Data Warehouse. In this podcast we discuss the role of data preparation, data cleansing, and the boring mundane stuff and why the boring stuff matters. A lot. In just about every business analytics project, there are the fun parts and the drudgery parts. Most data scientists want to plunge in with the algorithms and the complex modeling, while rushing through mundane production tasks, such as data cleanliness and data...

Duration:00:11:11

EP14: Kaiser Permanente Convergent Medical Terminology and Incompatible Datasets

8/28/2017
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Incompatible databases bedevil every company’s analytics efforts and healthcare companies are no exception. The $60 billion Kaiser Permanente managed care company is exploring whether it’s found a way around those incompatible datasets courtesy of an approach developed at the University of Oxford. It’s dubbed the Resource Description Framework Oxford and nicknamed RDFOX. Alan Abilla is the chief of medical informatics and innovations for the Convergent Medical Terminology team within Kaiser...

Duration:00:09:18

EP13: Sales Data Analysis for Sales and Marketing Operations

8/21/2017
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Nowhere is crunching numbers more revered than in a sales team, with all manner of compensation tied to deals closed and revenue booked. But, bizarrely, sales analytics today often tracks the wrong elements and thereby fuels wrong conclusions. Kevin Styers, the director of sales operations at ShopKeep, has spent years figuring out old sales

Duration:00:09:46

EP12: Business Meeting Data Analytics with Teem, Workplace Analytics Platform

8/14/2017
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How efficiently is your time used in meetings? If you needed to make decisions on the number of conference rooms you need make on an analysis of scheduled meetings, how accurate would it be? For architectural firms, this is crucial. Are rooms being created that aren’t needed? Think about calendar listings. When the company shuts down a project that held team meetings every Wednesday morning, does anyone bother to delete that meeting? Dal Adamson is a product manager at Teem and he has...

Duration:00:11:19

EP11: How Jefferson Health Reduced Payer Insurance for Chemotherapy patients from 22 days to 5 days

8/7/2017
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In the hospital business, few financial arrangements are as critical—and fraught with complexities and red tape—as insurance payments. Other than deep discount on the rates, the biggest headache is payment speed. Yes, say insurance cashflow to any hospital CFO and watch the involuntary shudder. In Philadelphia, executives at Thomas Jefferson University and Jefferson Health, found a way to use analytics to accelerate chemotherapy insurance payment authorizations from 22 days to five days. And...

Duration:00:11:33

EP10: Does Steve Ballmer's USAFacts Actually Help?

7/31/2017
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When former Microsoft CEO Steve Ballmer rolled out his extensive government database in April, it marked the first time much of that data had been easily available to the public. And for USAFacts, the word "easy" is key. The $10 million effort attacked some 30 years of data from 70 municipal, state and federal agencies. The goal was to make the mountains of information easily accessible by the lay public. In many respects, that's the essence of data analytics. It's about helping users spot...

Duration:00:10:00

EP9: Designing Data Warehouse for Business Intelligence

7/24/2017
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Imagine two restaurant chains (one pizza and the other ice cream) that recently had to fully redesign their data warehouse. One of them had more than 30,000 codes for coupons—and there were really only about 21 different coupons. Instead of changing the coding for existing coupons, they kept creating new ones, which were worded SLIGHTLY different. In the end, it made effectiveness and analysis worthless and it cost them thousands of person hours. This is a case where business intelligence...

Duration:00:10:16

EP8: The Petabyte Problem - Is More Data Always Better?

7/17/2017
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There’s an old-school analytics thought that the more data that is analyzed, the more accurate will be the results: the answers, the conclusions, the recommendations. But there’s also the signal to noise ratio issue, which holds that the more irrelevant data that is being examined, the more difficult and time-consuming it is to find those answers. And that brings us to the Petabyte Problem. Today’s companies are collecting exponentially more data than a few years ago. Even worse, much of...

Duration:00:14:17

EP7: Facebook Targets Emotions for Advertising

7/10/2017
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A leaked document showed that Facebook targeted audience members that felt "overwhelmed", "stressed", "anxious", "nervous", "stupid", "silly", "useless", and "failure" with relevant ads that fit their emotional profile. We talk with Ron Guymon, Chief Data Scientist at Numetric about the technical aspects of data science like this (no moral discussions or judgment, just technical).

Duration:00:11:14