668: Digital strategy expert, Venkat Venkatraman. How Real-Time Data and AI Will Power the Industrial Future

668: Digital strategy expert, Venkat Venkatraman. How Real-Time Data and AI Will Power the Industrial Future

Welcome to an interview with the coauthor of Fusion Strategy: How Real-Time Data and AI Will Power the Industrial Future, Venkat Venkatraman. In Fusion Strategy, digital strategy expert Venkat Venkatraman and world-renowned innovation guru Vijay Govindarajan offer a first-of-its-kind playbook that will help industrial companies combine what they do best—create physical products—with what digitals do best—use algorithms and AI to parse expansive, interconnected datasets—to make strategic connections that would otherwise be impossible.

Venkat Venkatraman is the David J. McGrath Jr. Professor of Management at the Questrom School of Business, Boston University. He has previously taught at the Sloan School of Management at the Massachusetts Institute of Technology and at the London Business School. He is considered one of the foremost authorities on how companies develop strategies to win with digital technologies. He has lectured and conducted digital strategy workshops all over the world with companies such as IBM, Merck, Ericsson, BP, Canal+, and others.

Get Venkat's book here: https://rb.gy/2vq6rx

Fusion Strategy: How Real-Time Data and AI Will Power the Industrial Future.

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Overall Approach Used in Well-Managed Strategy Studies free download: www.firmsconsulting.com/OverallApproach

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85: Harsh Partners

85: Harsh Partners

Being a young business analyst or associate on the receiving end of blunt and harsh feedback from a partner is a very jarring experience. However, it is also somewhat of a compliment. I never understand this very, very important point until my mentor, a senior partner, pointed this out to me when the managing partner gave me a very time about an initiative I was running. In hindsight, this was one of the most profound lessons I had in my consulting career, and the managing partner became a huge ally when I was up for partnership.

28 Juli 201225min

84: Anecdotes on Poor Networking Calls

84: Anecdotes on Poor Networking Calls

In this podcast we have listed some of the most common and most significant networking mistakes made by candidates. Since many of these have been made by clients, we have had an opportunity to discuss the mistakes, their motivations, the fall out and their response. Therefore, we can provide a comprehensive discussion on the implications of these mistakes. In general, no matter how badly a McKinsey partner networking call may go, you have little to fear. There are over 2,000 McKinsey partners. if you mess up, you have about 1,999 partners to start again.

22 Juli 201218min

83: Difference between Learning and Practicing

83: Difference between Learning and Practicing

99% of clients misunderstand learning and practicing. At its essence, you cannot practice McKinsey cases until you learn McKinsey cases. Most candidates start of their case interview preparation by reaching out to colleagues and consultants to practice cases, not having gone through the learning steps. Without a good strategy of separating learning from practicing you will simply absorb what you hear in the practice sessions and none of that is designed to teach you how to do cases. You must separate the learning from the practicing.

16 Juli 201210min

82: Sanity Checking Estimations in Cases

82: Sanity Checking Estimations in Cases

Many candidates forget to sanity-check their calculations in a case. That is a bad idea. Without a sanity-check there is no way to meaningfully assess the accuracy of your answer. More important, how you perform the sanity check is the key. All sanity-checks must involve the reduction of the answer to a number that you can intuitively compare to your own experiences. Unless you do this, you can never defend your answer.

10 Juli 20125min

81: Follow a Quant-Heavy Engagement

81: Follow a Quant-Heavy Engagement

I have written this from the perspective of the partner, since I was the partner leading this engagement. Consulting engagements at McKinsey and BCG, especially, tend to be naturally analytic in nature. This particular engagement was extremely so since the underlying analytic technique we were trying to use had never ever been successfully applied to a real environment with so many "messy" data points and random events. This podcast will be especially useful to those with physics, math and computer science backgrounds who want to see how consulting firms apply very creative analyses while sticking to the strict guidelines on analytic rigor.

4 Juli 201257min

80: Consulting Career

80: Consulting Career

Despite all the hype about BCG, McKinsey et al, you will only have a great career after these firms if you are astonishingly strategic in your career choices and also get promoted. If you do not get promoted you will spend the rest of your life explaining why you were not managed out - not a pleasant discussion since you will rarely be believed. This podcast explains some of the decisions you will have to make and how to make them.

28 Juni 201223min

78: How to Prepare for September

78: How to Prepare for September

Too many candidates do their case interview preparation in August and September. While we certainly think 6 months is far to long to spend preparing, we believe candidates need to create a list of their development area and use this to decide their preparation time. No time candidates are the same and weaknesses should drive the preparation time in its totality. Choosing average based on what your friends are doing is generally a very, very bad idea.

22 Juni 201218min

77: How PhD Candidates Should Prepare

77: How PhD Candidates Should Prepare

PhD candidates face three unique circumstances. First, they have to overcome the lack of available timing or guidelines for internship interviews since most thesis advisers will be unlikely to reschedule experiments and summer plans to accommodate McKinsey internship requests. Two, PhD's have certain stereotypes which they personally believe and exhibit such as they are less analytic than MBAs. Third, PhD's need to address the weaknesses consulting firms think they have like an inability to prioritize. This podcast touches on the main issues.

16 Juni 201219min

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