How Tech Is Changing the Way Emerging Markets Deliver M&A Value

Value, in global mergers and acquisitions, is no longer created only at the negotiation table. It is now shaped by the data architecture supporting the deal, the analytics that drive assumptions and the discipline of execution after signing. This is especially true in emerging markets, where volatility, regulatory complexity and inconsistent data quality can turn […]

Value, in global mergers and acquisitions, is no longer created only at the negotiation table. It is now shaped by the data architecture supporting the deal, the analytics that drive assumptions and the discipline of execution after signing. This is especially true in emerging markets, where volatility, regulatory complexity and inconsistent data quality can turn promising transactions into fragile propositions.
Experts such as Harriet Igherighe, a deals valuation specialist and strategy manager with experience across Nigeria, the United Kingdom and other high-growth markets, sit at the intersection of valuation, technology and execution. Her career reflects a shift many boards and investors are only beginning to comprehend. In today’s environment, the real differentiator is not only access to capital, but the ability to build technology-enabled valuation and integration systems that remain reliable under pressure.
Igherighe’s approach begins with a simple but often overlooked premise: a deal is only as strong as the systems that support it. In several of the transactions she has advised on, the strategic logic behind the acquisition was sound, but the absence of a unified digital backbone linking finance, risk, operations and technology created blind spots that undermined execution. To address these gaps, she guides organisations toward cloud-based ERP environments that replace manual spreadsheet consolidation with a single source of truth. This unified platform provides near real-time visibility into revenue streams, cost movements, capital expenditure and other metrics that directly feed valuation assumptions.
This digital backbone is especially critical in emerging markets where data often arrives late, is incomplete or is structured inconsistently across subsidiaries. A cloud environment ensures assumptions can be tested against live operational data rather than outdated reports. It allows deal teams to track how decisions affect multiple entities, currencies and regulatory contexts.
Industry experts agree on the importance of this shift. “Organisations that are being acquired tend to be underinvested in technology,” notes Matt Haller, principal at a consultancy aligned with a major ERP vendor. He points out that many targets rely heavily on manual processes that could be automated, which increases the risk of errors during deal execution. In markets where regulatory regimes shift, currencies fluctuate and reporting standards vary, a cloud backbone becomes essential rather than optional.
If the cloud provides the backbone, analytics provides the intelligence. Igherighe represents a generation of valuation professionals who treat platforms like Tableau and Power BI as core components of the deal engine. In pre-deal phases, she collaborates with cross-functional teams to design dashboards that mirror valuation models. These dashboards break down revenue drivers, customer behaviour, churn, pricing, unit economics and capital intensity. She overlays scenario modelling and risk frameworks to show how regulatory changes, foreign exchange movements or differences in technology adoption might affect cash flows across regions such as Nigeria and the UK.
As deals progress, these dashboards evolve into live decision engines. Executives no longer rely on static slide decks. They observe in real time how adjustments to one assumption ripple through projected returns, covenant headroom and synergy realisation. After closing, the same platforms continue to monitor whether promised benefits are materialising and whether the investment thesis remains sound.
The wider industry has increasingly embraced this approach. A recent survey found that firms using advanced analytics and generative AI in M&A, particularly for sourcing and diligence, are seeing productivity gains of fifteen to thirty five percent and, in some cases, up to forty percent. One senior manager in deal-advisory analytics explained that teams can now analyse more granular and versatile data, including operational data that directly drives top-line performance. These gains translate into faster decisions, sharper understanding of risk, more grounded valuations and stronger odds of value survival in turbulent environments.
Yet even with strong valuation models and advanced analytics, execution remains the greatest determinant of success. Igherighe often describes major deals and integrations as multi-season projects that demand coordination, discipline and patience. Regulatory filings must be sequenced correctly across jurisdictions. Systems must be migrated from legacy to cloud environments without disrupting operations. Contracts must be novated and organisational policies aligned across finance, technology and risk.
Too often, organisations manage this complexity through disconnected emails and ad hoc trackers, creating a high likelihood of errors or missed deadlines. To avoid these pitfalls, Igherighe uses structured workflow platforms like Jira as transaction command centres. Each workstream—data migration, controls testing, reporting alignment, KPI design and regulatory compliance—is broken into tasks with clear owners, timelines, dependencies and risk indicators. This governance structure enforces discipline and creates a detailed execution record that boards, auditors and regulators can review long after deal completion.
The need for structured execution becomes even more urgent in cross-border transactions where time zones, infrastructure quality, cultural differences and regulatory interpretations vary widely. Industry experts now insist that technology integration can no longer be treated as an afterthought. A recent report notes that a robust cloud strategy helps organisations bypass roadblocks associated with traditional on-premise systems, reduces the cost of future migrations and boosts appeal for potential buyers or carve-outs. One senior technology transformation leader emphasises that the chief information officer “plays a critical role post-close in facilitating and enabling the transformation of the way business gets done.”
Nigeria, Africa’s largest economy, illustrates both the opportunities and challenges that shape Igherighe’s perspective. Disclosure practices vary widely, infrastructure is sometimes unreliable and regulatory interpretations evolve faster than reporting cycles. Traditional valuation methods that rely on static or retrospective data struggle to reflect these realities. Cloud analytics and automated integration monitoring address this gap by providing near real-time visibility into sales trends, cost movements, working capital cycles and cash flow patterns.
By connecting ERP data to analytics dashboards and linking workflow tools to the same platforms, Igherighe helps organisations understand underperformance as a traceable execution issue rather than an abstract number. Teams can examine where the breakdown occurred—delayed system migration, incomplete data cleansing, unresolved policy gaps or inefficient contract novation processes. This precision enables faster interventions, reducing the risk of erosion in synergy capture.
Independent research supports this approach. A major consulting firm recently reported that technology and data directly drive about ten percent of synergies in typical integrations but enable up to eighty five percent of business synergies across cost and revenue categories. In emerging markets, where uncertainty amplifies execution risk, these digital enablers often determine whether a deal succeeds or fails.
Igherighe’s work underscores a broader truth: technology is not an add-on to valuation or integration; it is the connective tissue that links strategic logic to execution quality. Before signing, technology-enabled valuation reveals how value behaves under different regulatory, competitive and macroeconomic conditions. After closing, cloud-based systems turn integration plans into measurable milestones and early-warning indicators. Over time, these platforms help boards determine whether the investment thesis is holding and, if not, where course correction is needed.
As global M&A volumes grow, organisations increasingly realise that capital is rarely the main constraint. The real challenge lies in executing complex transactions across volatile environments in ways that protect value and reduce risk. For boards and investors operating from Lagos to Nairobi, Accra to Johannesburg, the message is becoming clear. Sustainable value in emerging market M&A will come not from financial capacity alone, but from investing in the digital systems, disciplined workflows and analytics-driven decision-making frameworks that ensure deals deliver on their promise.