M&a Science

Informações:

Synopsis

M&A Science is an educational podcast exploring the intricate world of M&A with industry leaders and practitioners.This podcast is sponsored by DealRoom, a diligence management and virtual data room platform for complex financial transactions. 

Episodes

  • 2. How Strong Relationships Lead to Successful M&A

    07/02/2017 Duration: 37min

    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)

  • 1. The Importance of Conducting a Quality of Earnings in M&A

    01/02/2017 Duration: 33min

    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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