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M&A Science

M&A Science Podcast is the buy-side operating standard for M&A practitioners. It’s for teams who want to run better deals, faster, with less chaos. Hosted by Kison Patel, Founder & CEO of M&A Science and author of Buyer-Led M&A™, each episode features real operators sharing what actually happens behind the scenes, from strategy and sourcing to diligence, deal execution, integration, divestitures, and value capture. No recycled “best practices.” Just decision-making frameworks, hard lessons, and practical plays you can use on your next deal. Explore 400+ episodes and get new releases each week. Want the playbooks, templates, and private practitioner community behind the show? Get access to the Intelligence Hub through the M&A Science Membership. www.mascience.com/membership Prefer the gear? Visit the merch store at https://shop.mascience.com/
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Now displaying: February, 2017
Feb 7, 2017

In this interview, we touch on a range of topics from how Scott handles hurdles to post-closing surprises, deal disasters to integration management, and ultimately, the keys to running a successful process.

00:00 - 00:40 Intro

00:40 - 04:25 Scott’s corporate development background

04:25 - 06:36 Small vs large transactions

06:36 - 12:25 Diligence lessons learned

12:25 - 17:55 Walking away from deals

17:55 - 19:53 Post closing surprises

19:53 - 25:08 Bad deals

25:08 - 32:08 Post merger integration

32:08 - 36:26 Key lessons learned

 

M&A Science by Kison Patel (kison@dealroom.net)

DealRoom: Data Science and AI for M&A (www.dealroom.net)

Feb 1, 2017

Andrew Jordan is a Principal at Riveron Consulting where he provides transaction advisory services. He’s had his hand in mergers and acquisitions for the last 8 years and has incredible insight regarding quality of earnings (Q of E) and M&A deals.

Show Notes:

0:00 – 0:47 Summary of Andrew’s background

0:48 – 5:44 Advantages to sellers doing Quality of Earnings (Q of E) analysis

5:45 – 6:51 When to get buyers involved in process

6:52 – 9:51 Biggest challenge from financial accounting due diligence process

9:52 – 10:39 Particular strategies to overcome data challenges

10:40 – 19:19 Interesting and extreme expense item discoveries

19:20 – 25:38 Evaluating Q of E adjustments

25:39 – 26:30 How see diligence process evolving

26:31 – 27:27 Assuring proper controls, both in and outside of Q of E analysis

27:28 – 32:03 Key lessons learned

 

M&A Science by Kison Patel (kison@dealroom.net)

DealRoom: Data Science and AI for M&A (www.dealroom.net)

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