We Use Data to Help You Make Better Decisions, Create New Business Models, and Optimize Your Operations: Patricio Moreno, CEO of Datalytics

Datalytics is a data and AI consulting company that helps businesses use data and AI in practical ways to improve decision-making. It focuses on clear results, careful implementation, and long-term value. The company’s solutions are built to fit each client’s operations. 

Datalytics now operates across Latin America and the United States.

Led by Partner and CEO Patricio Moreno, the company has spent more than a decade building credibility by staying rooted in client needs. Unlike many firms that position themselves as abstract innovation hubs, Datalytics operates with a deliberate, measured approach to how organizations should use their data.

“We don’t start with technology. We start with problems worth solving,” said Patricio. “From there, we map the right tools and approaches, whether that’s machine learning, automation, or analytics.”

The company serves a diverse client base across sectors including retail, finance, manufacturing, and logistics. Its work involves everything from designing and managing data architecture to building advanced analytics pipelines and predictive models. However, Patricio is clear that the purpose of these systems is not to chase novelty, but to enable clear decision-making and measurable progress.

“We are not in the business of selling tools,” he said. “We help clients clarify their priorities, align their teams, and then use data to move forward.”

Growing Firmly

Founded in 2012, Datalytics started as a specialist outfit focused on data warehousing and business intelligence in Santiago. It began expanding its reach beyond Chile after the company saw growing demand for data expertise across the region.

Today, it has delivery operations in Chile, Colombia, and the United States, with business development teams spread across Latin America and North America. Its clients range from regional enterprises to multinational corporations that rely on Datalytics not for technology alone, but for a grounded partnership that understands both data systems and business realities.

Expansion, however, has never meant stretching thin. The company has built regional teams slowly, selecting consultants who not only understand the technical demands of modern data work but also bring an ability to work collaboratively and speak the language of business.

Patricio said that geographic growth has been possible because of a shared work ethic across the company. “We’ve always looked for people who are good at listening, who can analyze without being arrogant, and who can explain things in plain terms.”

More Doing, Less Preaching

Much of the company’s appeal comes from what it doesn’t do. Datalytics avoids making grand promises about how it will “transform” businesses or “disrupt” industries. That isn’t how Patricio sees the world. His focus is on implementation, taking data challenges, breaking them down, and building systems that work with the organization, not against it.

This requires close cooperation with client teams, often involving change management, training, and rethinking internal processes. Datalytics consultants are trained to adapt to the client’s pace. In some cases, this means moving fast to deploy solutions in weeks. In others, it means working patiently through organizational inertia and complex systems to reach long-term goals.

This is especially true in industries like logistics and retail, where legacy systems, siloed data, and high operational complexity can derail flashy digital initiatives. Datalytics doesn’t attempt to bulldoze these realities. Instead, the company works alongside operations and leadership teams to gradually introduce improvements that stick.

“Sometimes it’s not about AI. Sometimes it’s about just having the right dashboards and reporting flows in place,” Patricio said. “We never lose sight of that.”

A Culture Built on Delivery

Datalytics doesn’t operate like a traditional consultancy. It is structured more like a delivery-focused firm, combining strong technical capabilities with a no-nonsense approach to client engagement. This starts with the first meeting. Instead of leading with tools, the team asks about friction points and missed opportunities. From there, it builds a clear path toward solving them.

The internal culture supports this methodical approach. Consultants are not measured solely by billable hours or client retention. They’re assessed on delivery quality, communication clarity, and how well they collaborate across teams. Regular internal reviews focus on what went right, what could be improved, and whether the project’s impact was felt by the client.

Unlike many companies in its space, Datalytics does not position itself as a product company. It has developed internal frameworks and accelerators, but these are used only when necessary. The company’s aim is to remain flexible and avoid forcing clients into one-size-fits-all models.

“We want to be known for our outcomes, not our marketing,” Patricio said.

Building Long-Term Trust

Many of Datalytics’ current clients have worked with the company for five years or more. Some began with one project and gradually expanded the relationship as they saw results. In an industry where project turnover is high and client loyalty is rare, Datalytics has managed to build relationships that last.

This trust has been built by doing the unglamorous work well. Cleaning up data pipelines, structuring information governance protocols, developing custom reporting dashboards, and helping business users learn how to interpret results. All of it contributes to a more resilient organization.

Even in its most advanced AI projects such as those involving demand forecasting or risk modeling, Datalytics spends a significant amount of time making sure clients can sustain the tools after deployment. It doesn’t want to be the consultant that disappears after implementation, leaving behind a black box system no one understands.

“That kind of model helps no one,” Patricio said. “Our work should make the client stronger, not more dependent.”

Future Arrangements

Datalytics is not chasing hypergrowth or a flashy exit. Patricio believes that the company’s future lies in remaining disciplined, choosing the right clients, and continuing to deliver high-value consulting in a market full of noise.

“We’ve grown by staying close to the fundamentals,” he said. “There are no shortcuts to earning trust.”

The company will likely continue to expand further into North America over the next two years, particularly as demand for pragmatic AI and data consulting grows among mid-size and enterprise firms. But that expansion will be controlled, with an emphasis on replicating its culture and methodology in new markets.

Patricio and his team see this measured approach as a strength, not a limitation. Datalytics is not trying to be everything to everyone. It wants to be the first call clients make when they have data-related problems that actually matter.

Patricio Moreno, Partner & CEO, Datalytics

We don’t start with technology. We start with problems worth solving.