Scaling Case Study: Using Big Data to Build a More Resilient Business

🧭 Dojo Compass

Module: Entrepreneurship, Market Execution and Scaling

Focus Area: Entrepreneurship and Scaling

Key Issue

Atlas Construction Services was a 120-person construction and infrastructure services company operating primarily in one region.

The company had grown steadily through a combination of organic growth and occasional acquisitions.

The construction SME market was highly fragmented.

Thousands of relatively small contractors competed across different geographic markets and specialized in different services. Many were family-owned businesses with strong local relationships but limited succession options, modest technology investment, and little access to institutional capital.

For Atlas, this created an obvious acquisition opportunity.

There were hundreds of potential targets.

The problem was that the company had no coherent acquisition strategy.

Whenever management encountered an interesting company, the discussion tended to focus on the target itself:

• Is the price reasonable?
• Is EBITDA real?
• Are the customers good?
• Can we achieve cost synergies?
• Can we finance the acquisition?

Atlas had accumulated substantial amounts of market and transaction data, but the information was being used primarily to find companies that appeared inexpensive or strategically interesting.

Management was effectively asking:

“Which companies should we buy?”

The new CEO believed this was the wrong question.

Atlas had already become reasonably successful in its existing market.

The greater opportunity was to use M&A to build a company that was more geographically balanced, operationally resilient, technologically sophisticated, and strategically difficult to replicate.

She therefore asked management to reverse the traditional acquisition process.

Instead of starting with acquisition targets, Atlas would first define the company it wanted to build.

The strategic question became:

“What capabilities, geographic positions, customer relationships, supplier relationships and technologies would make Atlas a stronger and more resilient company—and which acquisitions can help us build that position?”

Data would then be used to map the path from the company Atlas had today to the company it wanted to become.

Facts

Atlas had several characteristics typical of a successful construction SME.

It had strong local relationships, experienced project managers, a solid reputation and a loyal customer base.

But its growth had also created vulnerabilities.

Geographic Concentration

Approximately 70% of revenue came from one geographic region.

The region had historically been attractive, but construction activity was cyclical and heavily influenced by local economic conditions and government infrastructure spending.

Management recognized that the company was carrying more geographic risk than it had previously appreciated.

Customer Concentration

A relatively small number of large customers represented a substantial portion of revenue.

Several of these customers were excellent relationships, but the concentration created risk if project pipelines changed.

Supplier Dependence

Atlas purchased significant volumes of materials through a limited number of suppliers.

Its purchasing team had negotiated reasonable prices, but management suspected that its bargaining position could improve substantially if the company had greater geographic scale and more predictable purchasing volumes.

Technology Gap

Atlas had invested in project-management software and accounting systems, but technology adoption was uneven.

Several acquired or newly established operating units used different systems.

Project information was often difficult to consolidate.

Management had limited real-time visibility into project profitability, labor utilization, procurement and working capital across the organization.

Fragmented Acquisition Market

The potential acquisition universe was enormous.

Atlas began collecting information on hundreds of construction SMEs, including:

• geographic location;
• service specialization;
• revenue;
• EBITDA;
• customer concentration;
• employee numbers;
• ownership;
• acquisition history;
• project types;
• public-sector exposure;
• supplier relationships;
• technology adoption;
• management depth;
• debt;
• estimated valuation;
• local market conditions; and
• potential succession issues.

Initially, this information simply produced a larger target list.

The CEO wanted it to do something much more useful.

The strategy team began mapping the information against Atlas’s existing business.

The objective was to identify gaps and strategic opportunities, rather than simply attractive companies.

The analysis revealed several important patterns.

Atlas had excessive exposure to one region.

It had strong capabilities in commercial construction but relatively limited exposure to certain infrastructure and specialized services.

Some regions contained many potential targets but also exhibited highly cyclical construction activity.

Other regions had less obvious acquisition opportunities but offered more diversified demand.

Several potential targets had strong local customer relationships but weak technology.

Others had excellent project-management systems but weak purchasing capabilities.

Some companies were highly dependent on one supplier.

Others had strong supplier relationships but little geographic scale.

The data therefore began to reveal something that a conventional acquisition process had missed:

The most attractive acquisition was not necessarily the company with the highest EBITDA growth or lowest valuation multiple.

It was the company that helped Atlas build a stronger overall business.

Solution

Atlas developed a Strategic Acquisition Map.

The objective was to use data to design the desired future footprint of the company and then identify acquisitions that helped build it.

1. Define the Company Atlas Wanted to Build

Management first identified five strategic objectives.

Atlas wanted to become:

1. more geographically diversified;
2. more diversified by customer and project type;
3. stronger in procurement and supplier relationships;
4. more technologically integrated; and
5. larger and more resilient without sacrificing its local relationships.

These objectives became acquisition criteria.

A target could therefore be financially attractive and still be rejected if it did little to advance the strategic objectives.

Conversely, a company with modest historical growth could become highly attractive if it filled an important strategic gap.

This fundamentally changed the acquisition process.

2. Map the Existing Business

Atlas then created a detailed map of its current business.

For each operating region and major business line, management tracked:

• revenue;
• EBITDA;
• customer concentration;
• project concentration;
• cyclicality;
• supplier concentration;
• labor availability;
• average project size;
• technology maturity;
• purchasing volumes;
• management depth; and
• expected market growth.

The purpose was not simply to produce a better description of the company.

It was to identify where the business was strong, where it was exposed, and where additional scale would create strategic value.

The resulting map showed that Atlas had considerable strength in its home market but insufficient diversification.

The company did not need another acquisition in its strongest region.

It needed acquisitions that changed the shape of the overall business.

3. Build a Target Universe Around Strategic Gaps

The strategy team then used external data to map potential targets against those gaps.

Instead of asking:

“Which construction companies are available?”

Atlas asked:

“Which companies could improve the strategic architecture of Atlas?”

This produced a very different target universe.

For example, Atlas identified:

Target A: A highly profitable contractor in its existing region.

Target B: A smaller company in an adjacent region with strong municipal and infrastructure relationships.

Target C: A specialized contractor in another region with sophisticated project-management technology.

Target D: A company with modest margins but unusually strong supplier relationships and purchasing volumes.

Under the old approach, Target A might have been the obvious choice.

Under the new approach, Targets B, C and D could create considerably more long-term value.

4. Evaluate Combinations, Not Just Targets

Atlas then took the analysis one step further.

Rather than evaluating acquisitions individually, it modeled combinations of acquisitions.

Management asked questions such as:

• What happens to geographic concentration if we acquire Target B?
• What happens to purchasing leverage if we acquire Target D?
• Can Target C’s technology platform become the group’s technology standard?
• Can the combined purchasing volume improve supplier terms?
• Can management and equipment be shared across adjacent regions?
• Does a particular acquisition reduce dependence on one customer or project type?
• Which combinations create a stronger competitive position than the individual companies could achieve independently?

This revealed an important principle.

The value of an acquisition could come from changing the architecture of the entire company.

A $20 million acquisition might not be attractive because of the $20 million of revenue it added.

It might be attractive because it gave Atlas a new geographic base, a new customer network, stronger procurement leverage, a technology platform and a management team that could support additional expansion.

5. Use Data to Identify the Strategic Sequence

Atlas then developed a three-stage acquisition roadmap.

Stage 1 — Geographic diversification

The company prioritized acquisitions that reduced its dependence on its home region while entering markets with attractive long-term construction demand.

Stage 2 — Capability expansion

Once the geographic footprint was more balanced, Atlas targeted specialized contractors that added capabilities in infrastructure and other attractive niches.

Stage 3 — Technology and operating integration

The company then focused on acquisitions that could accelerate technology adoption, improve project visibility and create a common operating platform.

The sequence mattered.

Atlas did not want to make five unrelated acquisitions.

It wanted each acquisition to make the next one more valuable.

6. Strengthen Supplier Relationships Through Scale

The data also changed Atlas’s approach to suppliers.

Before the strategy was implemented, individual operating companies negotiated many purchases independently.

After several acquisitions, Atlas consolidated purchasing information across the group.

Management could see:

• what each business purchased;
• from whom;
• at what price;
• under what terms;
• in what quantities; and
• with what frequency.

The company could then approach major suppliers with a substantially larger and more predictable purchasing relationship.

At the same time, Atlas deliberately avoided becoming dependent on a small number of suppliers.

The objective was not simply maximum purchasing power.

It was purchasing resilience plus purchasing leverage.

7. Build Technology Into the Acquisition Strategy

Technology became another deliberate part of the M&A strategy.

Rather than allowing every acquired company to retain its existing systems indefinitely, Atlas established a common technology architecture.

The group consolidated:

• project management;
• financial reporting;
• procurement;
• workforce management;
• project profitability;
• customer information; and
• management dashboards.

The acquisition strategy therefore became partly a technology strategy.

A target with weak technology could still be attractive if it possessed valuable customers, geography or capabilities.

A target with excellent technology could be particularly attractive if its systems could become a platform for the wider group.

Data was no longer simply identifying targets.

It was helping management determine how the combined company should operate.

8. Create a Continuous Strategic Feedback Loop

Atlas eventually created a permanent acquisition and strategy dashboard.

It monitored:

Market

• construction activity by region;
• infrastructure spending;
• pricing;
• labor conditions;
• competitive intensity.

Company

• geographic concentration;
• customer concentration;
• supplier concentration;
• project concentration;
• margins;
• cash conversion.

Acquisition Pipeline

• target universe;
• valuation ranges;
• ownership/succession indicators;
• strategic fit;
• technology maturity;
• geographic fit.

Post-Acquisition

• revenue retention;
• customer retention;
• purchasing savings;
• technology adoption;
• employee retention;
• cross-selling;
• project profitability.

The dashboard was reviewed regularly.

If market conditions changed, the acquisition map changed.

If a region became less attractive, Atlas could slow acquisition there.

If a strategic capability became more valuable, the target universe could be adjusted.

The strategy therefore became data-informed and dynamic rather than a five-year acquisition shopping list.

Outcome

Over five years, Atlas completed six acquisitions.

None was selected simply because it was the cheapest available target.

Together, however, the acquisitions substantially changed the structure of the business.

Revenue became much more geographically balanced.

Customer concentration declined.

Atlas gained exposure to several different construction and infrastructure segments.

Its supplier base became broader while its aggregate purchasing leverage increased.

The group introduced common technology systems across its operating companies, providing management with significantly better visibility into project economics.

Several acquisitions also created cross-selling opportunities that had not been available to the individual businesses.

Most importantly, Atlas became less dependent on any single local construction cycle.

A downturn in one region no longer threatened the entire company.

The company had also developed a stronger platform for future growth.

The acquisitions were no longer a collection of unrelated businesses.

They formed a deliberately constructed network of:

• geographic markets;
• customer relationships;
• specialized capabilities;
• supplier relationships;
• management talent;
• technology; and
• purchasing scale.

This made Atlas substantially more resilient than the company that existed five years earlier.

It also changed how management viewed M&A.

The question was no longer:

“Is this a good company to buy?”

It became:

“Does buying this company make Atlas a better company?”

That distinction was critical.

The individual targets could often be acquired by competitors.

The combined architecture of Atlas was much harder to replicate.

A competitor could acquire a contractor in one region.

It could purchase a technology system.

It could negotiate better supplier terms.

But reproducing Atlas’s particular combination of geographic diversification, local customer relationships, specialized capabilities, purchasing scale, supplier resilience, integrated technology and management infrastructure would require a coordinated series of decisions over many years.

Data had therefore created value in a way that went well beyond target identification.

It had helped management design the company it wanted to become and then use M&A to build it.

Key Takeaways

First, M&A data should not be limited to target identification. The most valuable use of data may be helping management determine what the company should look like in the future.

Second, start with strategy, not the acquisition universe. Rather than asking “What companies are available?” begin with “What capabilities, markets, relationships and resources would make our company stronger?”

Third, evaluate acquisitions in the context of the whole company. A target that looks mediocre in isolation may be highly valuable if it fills an important strategic gap.

Fourth, acquisitions can change the architecture of a business. Geographic diversification, customer diversification, supplier leverage, technology, management depth and specialized capabilities can reinforce one another.

Fifth, combinations matter. The competitive advantage created by several acquisitions may be greater than the sum of the individual companies because the combined organization possesses capabilities and relationships that are difficult to reproduce.

Sixth, data can reveal strategic vulnerabilities that management cannot see from financial statements alone. Geographic concentration, customer concentration, supplier dependence, technological fragmentation and market exposure can all be mapped quantitatively.

Seventh, resilience can be an explicit acquisition objective. The highest-value acquisition is not necessarily the one with the highest immediate EBITDA growth. It may be the one that makes the overall company less vulnerable to shocks.

Eighth, technology should be considered part of M&A strategy. An acquisition can provide not only customers and revenue but also systems, data, processes and technological capabilities that improve the entire group.

Ninth, purchasing scale should be balanced with supplier resilience. Concentrating all purchasing with a few suppliers may create negotiating power while simultaneously creating a new vulnerability. The objective is stronger leverage without excessive dependency.

Tenth, M&A strategy should be dynamic. Markets change, valuations change, technology changes and the company’s own capabilities change. Data should continuously update the acquisition map.

Finally, the ultimate objective is sustainable value creation, not acquisition volume.

The most sophisticated use of M&A data is therefore not:

“Find me more companies to buy.”

It is:

“Help me understand what would make my company stronger, map the gaps between where we are and where we want to be, and identify the acquisitions that can help us close those gaps.”

In this approach, data becomes a strategy tool.

It helps management move from:

Target → Acquisition → Integration

to:

Strategic ambition → Capability and resilience map → Target universe → Acquisition sequence → Integrated platform → Greater sustainable value creation.

That is a fundamentally different way of thinking about M&A.

The company is no longer using acquisitions to become larger.

It is using acquisitions deliberately to become better.

Case Study Note

The case studies published by Business Warrior’s Dojo are intended primarily as tools for learning, discussion, and analysis.

They may be based on real business situations, publicly available case studies, professional experiences, or entirely hypothetical scenarios. In some cases, names and identifying details have been changed to preserve confidentiality. In others, facts, circumstances, timelines, or outcomes may have been substantially modified, combined, or simplified to better illustrate particular business issues or support discussion. Some case studies are entirely fictional and have been developed solely for educational purposes.