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Mergers & Acquisitions

Mergers & Acquisitions. Musings on the Role of I.T. Outline. Differences The base business model Transition Planning White rooms Execution: Day 1 vs. Day 100 Example system. Differences.

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Mergers & Acquisitions

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  1. Mergers & Acquisitions Musings on the Role of I.T.

  2. Outline • Differences • The base business model • Transition Planning • White rooms • Execution: Day 1 vs. Day 100 • Example system

  3. Differences • In an acquisition, the buying organization absorbs whatever assets from the selling organization that it chooses • Selling stockholders & SEC must approve • In a merger both organizations & cultures attempt to merge into a new or third entity • In a merger, the buying shareholders must also approve

  4. The base business model • Keep all current customers happy (from both sides) • Use combined organization to cross sell • Selectively raise rates where you can • Eliminate redundancies & use scale economies to reduce costs • Become one culture as fast as you can

  5. The base business model • Start with a no-bid & combined pro-forma EPS XLS projection • Transition costs accrued & expensed up front • Combined model high lights savings & revenue gains • Time phased by quarter • Assumptions noted • Sometimes you’ll see probabilities & ranges in the formulae

  6. The base business model • As the negotiations continue the “purchase price” & model deepens • Valuation teams set-up to confirm & refine assumptions • Fixed asset valuations • Plants, land & buildings • Data centers, equipment & systems • Contract (labor) audits • Intellectual property

  7. Transition Planning • Different teams each take a part of the base plan to flesh out • Are the assumptions correct? • Go through each staff profile to confirm gross head count numbers • Go through each budget line item > 1% • Need to consider retirement planning sequence & interim systems

  8. White rooms • Useful before M&A consummation • Both organizations submit details (with a key) to a 3rd party (white room) • The 3rd party also receives a rigorous matching algorithm • The white room returns the keyed results (e.g., joint customer list with defined overlaps by area, product line, etc.)

  9. Execution: Day 1 vs. Day 100 • Standard acquisition plans go quickly • Strategy defined during plan • 3 teams (front, back & plant) • Simultaneous staff interviews based of file reviews in one week • Stay, transition or immediate termination • 90-day switchover time frame is typical • Almost always the buyer’s systems absorb the acquisition’s “needs”

  10. Execution: Day 1 vs. 100 • Mergers take much longer • Strategy exists but less defined • Need to confirm planning assumptions • White rooms can speed it up • Still need to review all contracts & trade practices • Transition teams go through a more involved interview set as both firms are in play • Switching over entire system sets is non-trivial and high risk

  11. Execution: day 1 vs. day 100 • Even smaller firms can have 250+ separate systems • Each can integrate to several others and the well-defined interfaces may not be that “well defined” • Start at the front and work to the back-end systems looking for 1st order savings • Then reverse flow for final pass (or switch)

  12. Example System • RapidCommerce is an ASP (Application Service Provider) concept • It provides the equivalent of a custom web-based catalog order system at a fraction of a single F.T.E. engineer • Focus on industrial suppliers of maintenance and repair items • Lots of small firms with small budgets • All have similar needs with many customers and repetitive orders • Think OfficeMax for Industrial Supplies

  13. Version 1.1 Requirements • What follows are the business requirements • Developed by Product Management • Input from key account sales calls • Also based on his industry knowledge • Also based on competitive product reviews

  14. V.1.1 Confirmed Requirements • Face to face meetings required • What was really wanted • What was the business value • Confirmed V.1.1 • Realistic iteration (Must, Should, Might) • Black & white testable requirements • Building block for future updates

  15. V.1.1 Technical Design • Both Data Model & conversation architecture • DBA design too physical • Sample design • Open Source oriented throughout • Used the struts model • Needed architecture statements for key pieces first • Named Functional Specifications to not scare people

  16. Summary CRM Data Model

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