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M&A Science

M&A Science is a podcast exploring the intricate world of mergers and acquisitions with industry leaders and practitioners. With an unlimited access to our deal network, these interviews examine M&A trends, culture, and best practices. This podcast is sponsored by DealRoom, an M&A lifecycle management platform.
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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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