15 Dec , 2018
There is an open debate among economists and business leaders on why digitization leads to a near winner take-all business model. We see the dominance of one search tool in Google and Netflix over other movie providers. In decades past, it was common to have a movie theater in each community and local bakers everywhere. In other business models, especially those driven by personal relationships and locality, we have seen many scores of offerings simultaneously. In fact, achieving scale for the seller was very hard.
Amazon, Bing, Bing LinkedIn, customer, Customization, Data, Digital, Digital Disruption, Digital Followers, Digital leader, Digital Lessons, Digital Platform, Easy Button, eBay, Eonomy of Scale, Facebook, featured, Google, Instacart, Jet, LinkedIn, Lyft, media, Microsoft, Myspace, Netflix, Rocket Mortgage, Staples, Turbotax, Walmart, Youtube
Analytics, Big Data, Digital Strategy, Leadership
25 Nov , 2018
Facebook has never felt the heat it is feeling now. How did this happen? They are a darling promising marketers the reach to nearly every person through customized media. Success was rolling in as more and more advertisers saw the light and loaded up on ads. And, why have Amazon, Apple, Microsoft with its LinkedIn […]
2016 Election, advertisement, algorithms, Amazon, Apple, Black Friday, Cambridge Analytica, code, Data, democracy, Facebood, FBers, FBI, featured, George Soros, God-view, Googlers, LinkedIn, Marketing, Microsoft, personalized, Politics, Soros, Zuckerberg
Analytics, Big Data, Big Data and Analytics, Career Advice, Digital Strategy, Innovation, Leadership
14 May , 2017
1. Analytics has Moved from Manual to Machine-Driven – Don’t Become a Robot! Most people in the field of analytics can remember writing their own analytical code. Today, our Data Scientists in the MSiA program at Northwestern, can produce analytical models from regression, decision trees, support vector machines (and more) – all with more or […]
Abalytics Professional, Airbnb, Algorithm, Amazon, Analytics, Artificial Intelligence, Automation, Big Data, Big Data Analytics, Big Data to Big Profits, Bots, Career Advice, Data Analytics, Data Capture, Data Monetization, Data Products, Data Science, Digital Economy, featured, Google, IoT, LinkedIn, Mobile, Northwestern Analytics, Northwestern University, Robots, Uber, Uberfication
Big Data, Big Data and Analytics, Career Advice, Digital Strategy, Innovation
16 Oct , 2016
Turning Data into Valuable Data Products The acquisition of LinkedIn by Microsoft raises many interesting and valuable business possibilities. LinkedIn is the first and largest repository of data on career paths for millions of people. It has deep and valuable information on firms, the path of careers, and even the best majors for specific careers. […]
Algorithm, Analytics, Asset Surveillance, Big Data, Big Data Analytics, Big Data to Big Profits, Data Analytics, Data Capture, Data Monetization, Data Science, featured, LinkedIn, LinkedIn Data, Microsoft, Netflix, Northwestern University, Social Media Risks, Stanford University, Tripadvisor, Wired, Yelp
Big Data and Analytics, Digital Strategy
25 Jul , 2016
This weekend, we learned that Verizon has agreed to purchase Yahoo! for $4.83 billion dollars. Recently, Salesforce.com CEO, Mark Benioff announced that it would have paid more than the $26.2 billion paid by Microsoft for LinkedIn. With Verizon’s $4.4 billion purchase of AOL last year, these mega transactions raise some questions about what is a […]
Analytics, AOL, Asymmetric Information, Big Data, Big Data Analytics, Big Data to Big Profits, Big Data Value, Customer Data, Data Analytics, Data Capture, Data Monetization, Data Products, Digital Platforms, Facebook, featured, Google, IBM, LinkedIn, Microsoft, Mobile, Social Network Data, The Weather Channel, Twitter, User Data, Value of Big Data, Value of customer Data, Value of LinkedIn Data, Value of User Data, Value of Yahoo Data, Verizon, Weather Data, Yahoo
Big Data and Analytics, Digital Strategy
16 Jun , 2016
The recent announcement of Microsoft’s acquisition of LinkedIn has raised many questions about how Microsoft will monetize this data. In my recent article of how Microsoft can create value from this transactions, many people rightfully raised the point that data contributed to LinkedIn is given in exchange for networking. LinkedIn, like all social media and […]
Analytics, Big Data, Big Data Analytics, Big Data to Big Profits, Data Analytics, Data Capture, Data Monetization, Data Products, Data Science, Digital Platforms, Evaluation of Tech Firms, Google, LinkedIn, Microsoft's Purchase of LinkedIn, Opportunities of Microsoft Buying LinkedIn, Technology, Twitter, Value of customer Data, Value of Google Data, Value of LinkedIn Data, Value of Twitter Data, Value of User Data, What is your Data Worth?, Yahoo
Big Data and Analytics, Digital Strategy
14 Jun , 2016
The opportunities ahead for Microsoft and LinkedIn are many. There are also some important lessons for the tech industry. This, the largest of Microsoft’s acquisitions, is really about buying data and data assets. Here are my thoughts on opportunities going forward and lessons leaned from the LinkedIn sale: Microsoft can make LinkedIn the Greatest Expert […]
Airbnb, Amazon, Analytics, Apple, Big Data, Big Data Analytics, Big Data to Big Profits, Career Development, Data Analytics, Data Monetization, Data Products, Data Science, Digital, Digital Platforms, Economic Sciences, IoT, IT Strategy, Kellogg School of Management, Lesson from Microsoft's Purchase of LinkedIn, LinkedIn, Merger and Acquisitions, Microsoft, Microsoft LinkedIn, Microsoft LinkedIn Bad, Microsoft LinkedIn Good, Microsoft's Purchase of LinkedIn, Mobile, Opportunities of Microsoft Buying LinkedIn, Uber
Big Data and Analytics, Innovation
24 Jul , 2015
Every so often we notice an interesting infographic using LinkedIn Corp. data. What universities, for example, are the primary feeders for tech employers like Apple Inc. (turns out it’s San Jose State) and Microsoft Corp. (University of Washington by a landslide)? What company internships lead to good jobs in different industries? (most are predictable, but […]
Analytics, Apple, Aribnb, Asset Surveillance, Asymmetric Information, Automation, Big Data, Big Data Analytics, Big Data to Big Profits, Career Development, Data Analytics, Data Capture, Data Monetization, Data Products, Data Visualization, Digital Platforms, LinkedIn, Microsoft, Protiviti, San Jose State, Social Network, Uber
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Russell Walker helps companies develop strategies to manage Risk and harness value through Data Science and Big Data - Analytics, as Founder and Managing Director of Walker Bernardo, LLC.
Dr. Walker is Associate Teaching Professor of Marketing and International Business and Director of Experiential Learning in Analytics at the Foster School of Business, of the University of Washington, where he teaches course in Analytics, Marketing, Risk Management, and Digital Strategy.
Dr. Walker was previously Clinical Professor at the Kellogg School of Management of Northwestern University where be developed and led popular programs on Big Data and Analytics, Strategic Data-Driven Marketing, Enterprise Risk, Operational Risk, and Global Leadership.
In this blog, I share my ideas and research findings on various topics. This includes how companies can best leverage Big Data and Analytics for Data Monetization. I look extensively at Digital Strategy and how firms can created multi-sided business models. I share lessons in Risk Management and Global Insights. As an MBA graduate and MBA Professor, I offer my best tips on Leadership, Innovation, and Career Advice (for recent and not so recent graduates).
You will also find that in addition to these topics, I share ideas on Sports Analytics, Marketing to Hispanics, Food Production, the State of the Economy, Wisdom from Leaders and Presidents, Data Visualization, and my thoughts on successfully running businesses - both big (like Amazon) and small (like restaurants). These are all topics that interest me and reflect my curiosity and thoughtful reflection.
I hope you enjoy the blog. Please share your comments!