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M&A Intelligence Playbook

OSINT Techniques for Deal Due Diligence and Risk Discovery

Език Английски езикАнглийски език
Книга С меки корици
Книга M&A Intelligence Playbook Torin Velkar
Код Либристо: 53432654
Издателство Independently published, август 2026
The data room shows what the target wants you to see. The risks that kill deals - hidden ownership c... Цялото описание
? points 111 b Подготвяме Подготвяме Нови Нови
45.75
89.48  лв
Очаква се зареждане Издание 06. 08. 2026

До 30 дни за връщане на стоки

The data room shows what the target wants you to see. The risks that kill deals - hidden ownership chains, sanctioned beneficial owners, undisclosed executive fraud, workforce dysfunction, supply chain fragility - live in public records no seller is required to include. This book teaches M&A professionals to find those signals before the deal closes.

The M&A Intelligence Playbook delivers a complete seventeen-domain OSINT framework mapped to every phase of the deal timeline: a four-to-six-hour pre-LOI screening sprint, a structured exclusivity-phase investigation, and a pre-close verification protocol that catches what changed during the exclusivity window. Every domain has specific named sources, verification steps, and a deliverable format that connects findings to deal decisions.

By working through this book, you will:

- Build a pre-LOI OSINT screening protocol using government registries, court databases, and sanctions lists to identify deal-stoppers before exclusivity is committed

- Map beneficial ownership and shell company structures using OpenCorporates, the ICIJ Offshore Leaks database, and cross-jurisdiction corporate registry analysis

- Audit executive digital footprints using PACER court records, FINRA BrokerCheck, press archives, and social media platforms to surface conduct history that no reference call will provide

- Extract financial risk signals from SEC EDGAR filings, Companies House accounts, UCC lien searches, and audit opinion qualifications that fall below standard disclosure thresholds

- Identify workforce culture risk and attrition patterns using Glassdoor systematic review analysis, LinkedIn departure mapping, and job posting intelligence

- Detect IP conflicts, open-source license obligations, patent validity threats, and digital infrastructure exposure using USPTO PTAB, GitHub repository analysis, and Shodan

- Assess geopolitical and sanctions exposure for cross-border targets using the six-database screening protocol covering OFAC SDN, EU Consolidated List, UN sanctions, and OpenSanctions

- Construct a defensible OSINT intelligence report with source citations, confidence scoring, escalation flags, and chain-of-custody documentation that holds up in post-close disputes

- Automate repetitive OSINT collection tasks using Python scripts, Make workflows, and the OpenSanctions and OpenCorporates APIs to reduce collection time by 40 to 60 percent

- Apply a post-close monitoring protocol that tracks workforce, competitive, and regulatory signals through the integration phase, where 70 to 90 percent of deal value is actually won or lost

The methodology draws on verified case studies including HP-Autonomy ($9 billion write-down), Theranos ($700 million investor loss), WeWork (IPO collapse), Wirecard ($2 billion fraud), and Enron - each of which had public signals that a structured OSINT investigation would have surfaced before close. The sources are almost entirely free. The investigation framework is ready to deploy on the next deal in your pipeline.

For M&A analysts, private equity associates, corporate development professionals, deal advisors, and investment professionals who need to see beyond the data room.

The data room shows what a target wants you to see. This book shows you how to find the rest.

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Информация за книгата

Пълно заглавие M&A Intelligence Playbook
Автор Torin Velkar
Език Английски език
Корици Книга - С меки корици
Дата на издаване 2026
Брой страници 230
Баркод 9798190284843
Код Либристо 53432654
Издателство Independently published
Тегло 545
Размери 216 x 280 x 12
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