Your joint venture can inherit a partner’s technology risk before it delivers its first customer outcome. A shared account, data feed, or vendor connection can create obligations your leadership team hasn’t agreed to own. Joint venture technology governance gives you clear authority before those connections become operational dependencies. You need to know what can be
Joint Venture Technology Governance Before Connection Read More »
Your new core system can go live while the business loses confidence in its numbers. A useful data migration risk assessment shows you what could interrupt billing, distort inventory, expose sensitive records, or leave Finance unable to close. You need evidence of readiness, clear ownership, and an executable recovery plan before approving the replacement. Start
Data Migration Risk Assessment Before a Core-System Swap Read More »
You can own several business units and still lack one reliable picture of technology cost, risk, and performance. Each unit keeps moving, but shared customers, financial reporting, and security can expose the gaps between them. A unified approach can give you clearer control, provided you protect the workflows that make each business effective. Start by
Technology Centralization Across Business Units Read More »
Your month-end close can balance while the data underneath it remains unreliable. Financial data integrity becomes a leadership issue when missing records, broken integrations, or uncontrolled spreadsheets undermine reporting accuracy. That makes reported numbers harder for leaders to defend. You may have capable finance staff and responsive IT support, yet still lack clear ownership across
Financial Data Integrity: Can You Trust Your Statements? Read More »
When no one owns the numbers, everyone eventually argues about them. Data ownership assigns business decision rights and accountability for company-critical information, rather than implying personal possession. It clarifies who can define, protect, improve, and approve its use, including appropriate handling of personal information. Trusted information becomes a strategic asset. Without clear data ownership, reporting
How to Assign Business Ownership for Company-Wide Data Read More »
In middle market leveraged buyouts, an add-on acquisition can look small in a purchase model. It can still create a large technology problem. When you combine a target with a platform company, identity, data, vendors, and cybersecurity must work together. Decision rights must also be clear before the promised EBITDA improvement shows up. Private equity
Add-On Acquisitions: A Tech Integration Playbook Read More »
An IT carve-out can support value creation when operational risks are controlled. Shared systems, data, vendors, identities, and infrastructure rarely divide cleanly when the deal closes. The target business must operate independently without losing orders, payroll, customer access, reporting, or security controls. Meanwhile, the parent company must keep those capabilities running through the separation. That
IT Carve-Out: Separate Systems Without Breaking the Business Read More »
A target can look attractive on paper during mergers and acquisitions, but hidden technology problems can threaten revenue, post-close value, and the integration plan, making buy side due diligence essential. A buy side technology due diligence checklist helps you test whether the systems, people, vendors, data, security controls, and technology costs support the investment thesis.
Buy-Side Technology Due Diligence: What Kills Deals Read More »
Your software vendor can turn on an AI feature overnight. You still own the consequences. That is the real issue in how to evaluate ai features from software vendors. A feature that looks harmless can introduce new risks to enterprise AI adoption by changing where your data goes, how employees work, what customers receive, and
How to Vet an AI Feature Your Vendor Turned On Read More »
Your software vendor can turn on an AI feature overnight. You still own the consequences. That is the real issue in how to evaluate ai features from software vendors. A feature that looks harmless can introduce new risks to enterprise AI adoption by changing where your data goes, how employees work, what customers receive, and
How to Vet an AI Feature Your Vendor Turned On Read More »
