1. Data quality
The concept of accurate data is highly relevant to due diligence. Low data quality is the number one obstacle to in-depth investigations:
- Frequent data errors. The rate of data entry errors is around 2% and sometimes can be as high as 26%. These errors complicate analysis and force teams to cross-verify information, which slows the due diligence process.
- Low data availability. Financial, operational, or security data may be unavailable, creating uncertainty for due diligence teams. Missing information leads to incomplete evaluations, posing risks in decision-making.
- Information discrepancies. Significant discrepancies between values in different databases often force DD teams to make rough approximations. This can undermine the accuracy of their findings and lead to flawed conclusions or overlooked risks.
2. Time constraints
Due diligence is time-consuming and may take 60-90 days and sometimes up to 100 days post-closing for several reasons:
- Manual processes. DD teams often manually collect, upload, convert, and standardize thousands of data points. This labor-intensive work leaves room for inefficiencies and human error.
- Decentralization. Traditional due diligence processes don’t have centralized data storage. Collaborators usually work with files locally and exchange them via email, leading to a fragmented workflow.
- Coordination challenges. Decentralized teams are challenging to align and collaborate with. That is why DD workstreams often miss critical interdependencies, delaying the identification of key risks and opportunities.
3. Cultural clashes
Executives attribute 30% of M&A failures to cultural clashes between the two organizations. Unfortunately, they begin during due diligence when the two companies must collaborate tightly. Businesses face the following cultural challenges during due diligence:
- Work environment differences. Companies may have different formal norms for document submissions, communication time, and technology use. These disparities can create friction and slow down the procedure.
- Different communication styles. Two companies may prefer different software solutions and communication styles, making a seamless due diligence checklist exchange difficult.
- Different decision-making approaches. Organizations often have different hierarchies and decision-making processes. While one company may prioritize a top-down approach, the other may rely on consensus-building. These differences can lead to misaligned expectations, delays, and misunderstandings.
4. Compliance requirements
Due diligence professionals may face several compliance challenges:
- Reporting and disclosure. Traditional due diligence workflows make it challenging to log activity and produce comprehensive reports. All administrative and data entry tasks must be done manually, increasing the risk of incomplete records.
- Data privacy. It’s difficult to meet GDPR, HIPAA, HITRUST, or FedRAMP requirements while sending due diligence materials via email. Thus, compliance issues can expose both parties to regulatory penalties and reputational damage.
- Cross-border regulatory challenges. Compliance becomes even more complex when dealing with international M&A transactions. Different jurisdictions have varying regulations regarding reporting, tax laws, and data privacy, complicating the process for due diligence teams.
5. Security concerns
IBM has found that over 30% of data breaches occur during M&A. Cyber attackers threaten due diligence workflows when companies exchange massive data volumes. The common challenges companies face are the following:
- Lack of workflow privacy. Companies cannot control the level of privacy of documents they work with, which increases the risk of unauthorized access and data leaks.
- Lack of online protection. There is end-to-end encryption in traditional due diligence. It makes transmissible data vulnerable to hackers. This risk is particularly concerning when sensitive financial, operational, and intellectual property data is exchanged.
- Poor security compliance. Thorough security compliance requires companies to search for advanced security features unsupported in traditional workspaces. Without these features, companies expose themselves to risks and liabilities.