Encore

Christian Moreno, Director, Data & Analytics at Encore, believes the next evolution of enterprise analytics will be defined not by how much data organizations collect or how sophisticated their platforms become, but by how effectively they turn trusted information into better decisions.

That philosophy shapes Moreno’s leadership of Enterprise D&A at Encore, where architecture, governance, analytics and AI are interconnected capabilities designed around business outcomes.

His approach is grounded in three principles: start with the decision, govern meaning as rigorously as data, and create the conditions for people and technology to turn information into action.

Creating the Conditions for Better Decisions

Moreno has seen organizations invest heavily in technology while still asking: Which numbers can we trust?

The technology was often capable. The organizational conditions were not.

Ownership was unclear. Business definitions differed. Teams reconciled competing metrics instead of helping the business decide what to do next.

Modern data leadership must extend beyond infrastructure. It requires clear ownership, preserved business meaning, trusted information and analytics connected to decisions that matter.

At Encore, business domains remain accountable for the meaning and outcomes of their data, while Enterprise D&A provides the architecture, governance and standards to scale trusted information. The goal is not dependence on the data team, but an organization more capable because of it.

Start With the Decision

Moreno’s teams begin analytics initiatives with a different question: What decision are we trying to improve?

They work backward. Who makes it? What information is required? Which definitions must be consistent? What action should become possible? Only then does the conversation turn to pipelines, semantic models, analytics or AI.

That mindset shaped Encore’s predictive revenue work. The hardest challenge was not the model, but aligning stakeholders around what should be predicted, which decisions the insight would influence and when the business should trust the signal enough to act.

For Moreno, that is the difference between producing an analytical output and building a decision capability.

Governing Meaning in the Age of AI

As large language models and agentic AI change how people interact with information, Moreno believes business meaning becomes even more important.

AI can access enormous amounts of data and still misunderstand the business.

Organizations must govern not only data, but its meaning - business definitions, semantic models, metadata, ownership, lineage and decision context.

AI does not reduce the need for governance. It raises the standard for it.

Moreno sees Decision Intelligence as the emerging discipline connecting trusted data, analytics, AI and business context around the decisions that determine performance.

Leadership Through Clarity and Trust

The same philosophy shapes how Moreno leads people. High performing teams require clarity before autonomy. People should understand the problem, why it matters, the outcome they own and the boundaries within which they can lead.

His role is not to make every decision, but to create an environment where strong decisions can be made without him.

Transformation is never the work of one leader or one team. Encore’s progress reflects talented data professionals and cross-functional partners who challenge assumptions, share ownership and solve problems together.

“I’m incredibly fortunate to work alongside a talented team and partners across the business. The best ideas emerge when different expertise comes together around a shared problem and takes ownership of solving it.”

For Moreno, the next era of enterprise analytics is not about more dashboards or simply more AI. It is about intentionally designing organizations where trusted information, business context, people and intelligent technology improve decisions and accelerate action.

Technology will continue to change. The responsibility of data leaders will remain: create the conditions for better decisions.

Christian Moreno, Director, Data & Analytics at Encore, believes the next evolution of enterprise analytics will be defined not by how much data organizations collect or how sophisticated their platforms become, but by how effectively they turn trusted information into better decisions.

That philosophy shapes Moreno’s leadership of Enterprise D&A at Encore, where architecture, governance, analytics and AI are interconnected capabilities designed around business outcomes.

  Our responsibility as data leaders is to create the conditions that allow organizations to harness their data intentionally. Technology is an incredibly powerful enabler, but its value is only realized when it improves decisions and drives action.  

His approach is grounded in three principles: start with the decision, govern meaning as rigorously as data, and create the conditions for people and technology to turn information into action.

Creating the Conditions for Better Decisions

Moreno has seen organizations invest heavily in technology while still asking: Which numbers can we trust?

The technology was often capable. The organizational conditions were not.

Ownership was unclear. Business definitions differed. Teams reconciled competing metrics instead of helping the business decide what to do next.

Modern data leadership must extend beyond infrastructure. It requires clear ownership, preserved business meaning, trusted information and analytics connected to decisions that matter.

At Encore, business domains remain accountable for the meaning and outcomes of their data, while Enterprise D&A provides the architecture, governance and standards to scale trusted information. The goal is not dependence on the data team, but an organization more capable because of it.

Start With the Decision

Moreno’s teams begin analytics initiatives with a different question: What decision are we trying to improve?

They work backward. Who makes it? What information is required? Which definitions must be consistent? What action should become possible? Only then does the conversation turn to pipelines, semantic models, analytics or AI.

That mindset shaped Encore’s predictive revenue work. The hardest challenge was not the model, but aligning stakeholders around what should be predicted, which decisions the insight would influence and when the business should trust the signal enough to act.

For Moreno, that is the difference between producing an analytical output and building a decision capability.

Governing Meaning in the Age of AI

As large language models and agentic AI change how people interact with information, Moreno believes business meaning becomes even more important.

AI can access enormous amounts of data and still misunderstand the business.

Organizations must govern not only data, but its meaning - business definitions, semantic models, metadata, ownership, lineage and decision context.

AI does not reduce the need for governance. It raises the standard for it.

Moreno sees Decision Intelligence as the emerging discipline connecting trusted data, analytics, AI and business context around the decisions that determine performance.

Leadership Through Clarity and Trust

The same philosophy shapes how Moreno leads people. High performing teams require clarity before autonomy. People should understand the problem, why it matters, the outcome they own and the boundaries within which they can lead.

His role is not to make every decision, but to create an environment where strong decisions can be made without him.

Transformation is never the work of one leader or one team. Encore’s progress reflects talented data professionals and cross-functional partners who challenge assumptions, share ownership and solve problems together.

“I’m incredibly fortunate to work alongside a talented team and partners across the business. The best ideas emerge when different expertise comes together around a shared problem and takes ownership of solving it.”

For Moreno, the next era of enterprise analytics is not about more dashboards or simply more AI. It is about intentionally designing organizations where trusted information, business context, people and intelligent technology improve decisions and accelerate action.

Technology will continue to change. The responsibility of data leaders will remain: create the conditions for better decisions.