Elizabeth Gerbel, CEO and founder of Houston-based E.A.G. Services Inc., shares how to navigate M&A activity for both startups and large companies. Pexels

Nervous about an upcoming merger or acquisition? You're not alone. Last year, there were nearly 15,000 mergers and acquisitions in the U.S., according to the Institute for Mergers, Acquisitions and Alliances. These transactions, although executed with optimistic intentions, don't always work out. What is it that separates those that deliver from those whose results simply fall flat?

While you won the legal battle, the real culprit to a failed merger or acquisition transaction lies in post-deal activities such as integrating the divesting company's assets into the acquiring company's existing systems, processes, and organizational structure. If executed poorly, companies could face several hurdles, including:

  • Increased acquisition costs
  • Loss in previously efficient business processes
  • Reduced data quality in current and acquired assets
  • Extended TSA timeline

With the stakes being high, it is critical for each step of a merger or acquisition to be rock solid before moving on to the next stage. In fact, when executed successfully, an M&A transaction can significantly benefit both companies — from startups to well-established corporations.

A strategy for M&A data integration

In order to facilitate efficient and effective merger or acquisition, the critical success factors focus on these driving goals: Minimizing organizational disruption and Maximizing ROI. To achieve these goals, we execute three main stages for every merger and acquisition.

  1. Planning
  2. Analysis
  3. Execution

We start with thorough planning, think of planning as the foundation for a successful merger or acquisition. Without a good plan, the company will be vulnerable to all sorts of structural weaknesses. To prevent key elements from falling through the cracks, companies must define objectives and data requirements, maintain strong communications, and develop both short-term and long-term expectations.

The next step – analysis – since data is absolutely essential in mergers and acquisitions. There is a lot to watch out for: What's the best way to extract and convert the acquired data? Will IT or business support need to be permanently added? What system configuration changes are required? What are the impacts to current business processes and internal audit controls? Will additional training be required? The answers to these questions are highly individualized to each merger and acquisition, and they'll impact how seamless the transition will be. Many people gloss over this stage but then realize the criticality not only in the case of a merger or acquisition but also in the case of a future divestiture.

Finally, the last stage: Execution. This stage is one of the main reasons why some mergers and acquisitions may fall short of expectations. To avoid common issues stemming from poor execution – including disruption of previously effective business processes, impaired customer service, and increase in the cost of the merger or acquisition – we coordinate roles and responsibilities, ensuring that all key tasks are executed. From day one to full integration, we continually monitor to ensure the company is on track to meet its initially defined objectives.

The risks and benefits of a merger or acquisition

I'll be candid: Without a solid foundation through adequate preparation, a merger or acquisition is set up to fail. This risk can be higher for startups and small companies, which don't have the resource buffer that some larger firms can fall back on. Large companies may face a different risk, business processes and data may not be aligned with their current state. And yet, according to Economy Watch, an extensively strategized merger or acquisition transaction, beyond increasing the company's size, can yield significant benefits that include:

  • Improving its strategic position
  • Entering a new market
  • Developing new assets
  • Lowering operational costs
  • Expanding market influence

For smooth mergers and acquisitions, we recommend a multi-step process so that you can identify and reduce risks, condense your integration timeline, and quickly capture value. Because despite the challenges, not all is lost during a merger or acquisition – and there is much to be gained.

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Elizabeth Gerbel is the CEO and founder of Houston-based E.A.G. Services Inc.

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Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”