Both sides win!
Maximized valuations, less risk, quicker & cheaper integrations
Data is the new oil
A company’s data is typically the primary driver of its worth, often over 80% of their corporate value. For buyers and sellers, a thorough understanding and assessment of data assets are no longer optional — they are critical to the success of M&A transactions.
DataOpus is the ONLY solution to determine the health of database platforms and provide actionable risks and issues so sellers and buyers can negotiate.
80% +
Corporate Value
Only
Complete Solution
100%
Risk Visibility
Real-time
Assessments
Finally, REAL data due diligence
Only DataOpus can provide data due diligence for M&A transactions.
Unbiased 3rd party health audit
Reduce time & cost by 99%
Eliminate errors & omissions
Compliance / regulatory / standards assessments
Data / AI readiness reports
List of actionable findings for de-risking
Vulnerabilities, Weaknesses & Flaws
Representations & Warranties
Every stakeholder protected
Protecting the Seller
Maximize your valuation and eliminate buyer pushback. Conduct a third-party data audit before you negotiate. A definitive list of vulnerabilities gives you the power to address issues proactively, demonstrating transparency and accelerating the closing process. Secure a cleaner exit and reduce your post-closing liabilities. Get your data audit today and enter negotiations from a position of strength.
Protecting the Buyer
Don't overpay. Influence the offer price with real data due diligence. Uncover hidden risks in the seller's data infrastructure, from poor governance to non-compliance, before they become your problem. A thorough analysis is your best defense against unforeseen integration costs and complexities. Ensure the synergies you expect become a reality. Demand comprehensive data due diligence to make a smarter acquisition.
Protecting the Investors
Protect your capital and maximize your returns. Whether you're on the buy-side or sell-side, the long-term success of the deal depends on an objective assessment of data assets. Insist on rigorous data due diligence to gain the transparency needed for informed decisions. Mitigate the risk of post-acquisition write-downs and ensure the value you're promised is the value you get. Make data due diligence a mandatory part of your investment strategy.
Database forensics throughout the M&A Process
DataOpus supports you from initial assessment through final integration
1 - Assessment
Assessment and preliminary review
- Seller conducts 3rd party health audits to identify risk to valuation
- Seller starts to de-risk valuation by eliminating security & Privacy issues
- Buyer conducts 3rd party audits to start understanding cost and risk of integration and their internal data risk & issues
2 - Negotiation
Negotiation and letter of intent
- Buyer provides data-specific representations & warranties
- Seller analyzes risk for data-specific representations & warranties
3 - Due Diligence
Due Diligence
- Seller continues to de-risks their data platforms for greater valuation
- Seller delivers health report focused on security, privacy, interoperability, and data integrity / completeness
- Buyer continues to de-risks their platforms and identify issues related to security, privacy, interoperability, integrity, and completeness
4 - Negotiation
Negotiations & Closing
- Buyer & seller negotiate
- Buyer & seller agree on data platform-specific representations & warranties
5 - Integration
Post-closure integration / implementation
- Buyers conduct integration supported by actionable findings, data dictionaries, and code libraries
Assessment and preliminary review
- Seller conducts 3rd party health audits to identify risk to valuation
- Seller starts to de-risk valuation by eliminating security & Privacy issues
- Buyer conducts 3rd party audits to start understanding cost and risk of integration and their internal data risk & issues
Negotiation and letter of intent
- Buyer provides data-specific representations & warranties
- Seller analyzes risk for data-specific representations & warranties
Due Diligence
- Seller continues to de-risks their data platforms for greater valuation
- Seller delivers health report focused on security, privacy, interoperability, and data integrity / completeness
- Buyer continues to de-risks their platforms and identify issues related to security, privacy, interoperability, integrity, and completeness
Negotiations & Closing
- Buyer & seller negotiate
- Buyer & seller agree on data platform-specific representations & warranties
Post-closure integration / implementation
- Buyers conduct integration supported by actionable findings, data dictionaries, and code libraries
Proof you need due diligence
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- Only 25% of CEOs report conducting technology due diligence for most of their deals
- 96% of CIOs report due diligence uncovered issues & opportunities that had material impact on certain deals.
- 35% of diligence efforts uncover a minimum of US$ 8 million in remediation costs. (Accenture)
- 62% of mergers and acquisitions (M&A) fail to meet their financial objectives, with poor due diligence cited as one of the primary reasons for failure. (Harvard Business Review)
- 76% of technology acquisitions fail to meet their financial objectives. (McKinsey & Company)
- Companies that perform due diligence on the target’s technology are 2.8 times more likely to achieve a successful outcome than those that don’t. (McKinsey & Company)
- The average time spent on due diligence for technology companies is 12 weeks. (KPMG)
- 80% of tech executives said data security and privacy are the most important factors to consider during tech due diligence. (West Monroe Partners)
Proof you need due diligence
