---
title: "Precision Signals Matter: How BBVA Technology Masters Modern Data Collection"
id: "94642"
type: "post"
slug: "precision-signals-matter-how-bbva-technology-masters-modern-data-collection"
published_at: "2026-07-10T13:05:26+00:00"
modified_at: "2026-07-10T15:30:57+00:00"
url: "https://tealium.com/blog/customer-experience/precision-signals-matter-how-bbva-technology-masters-modern-data-collection/"
markdown_url: "https://tealium.com/blog/customer-experience/precision-signals-matter-how-bbva-technology-masters-modern-data-collection.md"
excerpt: "We’ve all been there: staring at several different recycling bins, clutching a plastic-coated coffee cup, wondering, \"Does this go in 'Paper,' 'Plastic,' or 'General Waste'?\" If we get it wrong, we contaminate the whole batch. If we get it right,..."
taxonomy_category:
  - "Customer Experience"
taxonomy_industry:
  - "Financial Services"
taxonomy_blog_product:
  - "Customer Data Platform"
---

Customer Experience

# Precision Signals Matter: How BBVA Technology Masters Modern Data Collection

Marie Janine MurmannJuly 10, 2026

[https://tealium.com/resource/webinar/masterclass-optimize-your-data-collection/](https://tealium.com/resource/webinar/masterclass-optimize-your-data-collection/)
We’ve all been there: staring at several different recycling bins, clutching a plastic-coated coffee cup, wondering, "Does this go in 'Paper,' 'Plastic,' or 'General Waste'?" If we get it wrong, we contaminate the whole batch. If we get it right, we’re doing something good, or in other words we turn trash into something valuable.

[Data collection](https://tealium.com/resource/webinar/masterclass-optimize-your-data-collection/)
 feels a lot like those recycling bins. If you want to turn your "data rubbish" into valuable data, this article outlines how to build that resilient, standardized data supply chain that scales with your business.

At [Digital Velocity London](https://tealium.com/blog/customer-experience/my-top-3-takeaways-from-digital-velocity-2026-louise-nash/)
, we gathered experts from across the industry, including BBVA Technology, for their insights on mastering data collection, standardizing complex datasets, and ensuring seamless data harmony across your organization's tools. But before we start, let’s check: What is [data collection](https://tealium.com/platform/data-collection/)
? It is the systematic gathering of data from multiple channels, including in-store visits, mobile, loyalty program interactions, apps and website actions. The quality of collected data significantly impacts the ability to understand and engage with customers effectively.

To understand this shift from simple gathering to purposeful logistics, we look to the recycling analogy shared by Tealium’s Marcin Denisiuk, Principal CDP Strategist.

## Strategy is for amateurs, logistics is for professionals: Rethinking data post-processing

Marcin used a recycling vs. rubbish analogy to illustrate that data strategy is ultimately a matter of logistics and post-processing. In a traditional setup, businesses act like councils that demand perfectly sorted bins; however, if a single "contaminated" or malformatted data point enters the stream, the entire payload can fail. Marcin argues that the most profitable approach is to "ease the use of the system" for the end user by collecting a broader range of data first and then using a "conveyor belt" (post-processing) to standardize, filter, and monetize it. By shifting the burden of sorting from the source to a centralized, flexible processing layer, organizations can ensure higher data quality, better standardization, and the ability to pivot data to different suppliers or tools when the market value is highest. This logistical 'conveyor belt' isn't only a theory; but the architectural foundation of a modern data pipeline.

## A modern data pipeline

Tealium grew from simple tag management into a [context orchestration platform](https://tealium.com/)
 providing single, real-time, identity-resolved records that tell your AI Agent who the customers are, what they’ve done across every channel, and what they’ve given you permission to do with that information. At its core lies the creation of a unified data language, using server-side functions and attributes to consolidate varied naming conventions into a single source of truth. It is not merely about collection; rather, it is about the integration of consent orchestration and granular data mapping. These processes ensure privacy compliance while simultaneously transforming real-time event data into holistic customer profiles. By leveraging a vast, out-of-the-box connector catalog with built-in diagnostic retry mechanisms, Tealium ensures that high-quality, pre-qualified data, enriched by AI and lifetime value metrics, is delivered to downstream systems in under 200 milliseconds. But managing a pipeline this powerful requires more than just technical rails; it demands a philosophy of precision.

[https://tealium.com/resource/webinar/masterclass-optimize-your-data-collection/](https://tealium.com/resource/webinar/masterclass-optimize-your-data-collection/)

## The immune system of data: Precision signals matter more than volume

Marcin frames the complexity of data orchestration through an interesting biological lens, comparing a company’s data infrastructure to the human immune system. Just as immune cells can either protect the body or accidentally attack it during an autoimmune response, "tons of data" can become destructive without the right governance. The difference between a helpful customer interaction and a harmful one lies in the signal, the specific, real-time data point that tells the system how to react. For these signals to be effective, Marcin argues they must possess four essential qualities: Timing to ensure the message arrives at the right moment, analysis to interpret the intent correctly, resilience to ensure the signal reaches its destination, and diversity to allow for a wide range of sophisticated responses.

The essence of modern data management is about the precise orchestration of these signals at the infinite compute edge to turn a "horde" of uncoordinated data into an intelligent, protective strategy. For a global giant like BBVA Technology, this biological precision is a prerequisite for speed. They prove that a rock-solid data layer allows an organization to move with the agility of a startup.

## Speed, security, and quality: A journey to data excellence

For BBVA Technology, data is absolutely critical for their multinational engine that demands both precision and speed. BBVA Technology, a BBVA Group company, provides technology services, including the development, maintenance and support of IT solutions, data processing, and the development of software and web applications across multiple industries, including the banking industry. In a world where bureaucracy can often stall progress, Juan Carlos Gonzalez, Martech Techlead & Delivery Associate at BBVA Technology, and his team have turned data management into a high-speed sport, proving they can deploy entire CDPs in just five days and launch into new countries in the blink of an eye. This was made possible because they already had the right data foundation set up, such as a standardized and normalized data layer ([TiQ](https://tealium.com/products/tealium-iq-tag-management-system/)
 and [EventStream](https://tealium.com/lp/tealium-eventstream/)
) that made them very agile when deploying AudienceStream to new countries or business units.

By mastering the Tealium Suite, they’ve moved beyond simple tracking to build a sophisticated defense system: "Vendor Killers" that slash costs on broken pages, "Shadow Batching" to audit human error in real-time, and "Canary Releases" that test the waters before diving into new tech. It’s a [masterclass](https://tealium.com/resource/case-study/bbva-technology-qa-best-practice/)
 in balancing the rigid security with the agile spirit of a startup, proving that when your data layer is rock solid, you can stop guessing and start winning. As Juan Carlos puts it, in the absence of good data, you’re just another person with an opinion, and at BBVA Technology, they prefer facts. As we master the speed of clicks and transactions, the next frontier for this rock-solid data layer is also conversation.

## What about voice data collection?

While our focus is heavily on web, mobile, and data warehouses, one area we often overlook is voice sources. As agentic AI becomes a crucial way users interact with brands, data will not only be collected from clicks but conversations. Collecting data from voice isn't just about transcribing words; it’s about sentiment, intent, and context.

- **Real-time context:** Just as Tealium feeds real-time data to a website banner, we are now seeing the rise of feeding real-time customer context to AI chatbots and voice assistants.
- **The challenge:** Voice data is inherently "messy." It requires the same "conveyor belt" logistics Marcin mentioned, cleaning the audio, extracting the "signals" (the intent), and standardizing it so your CRM knows that a frustrated voice command is the same as a "high-priority" support ticket.

## Mastering the signal

Data collection is so much more than only about how much we can gather, but how effectively we can orchestrate the signals within your ecosystem. Even though we can build "vendor killers" like BBVA Technology, we still want to transform raw data "rubbish" into a standardized, high-speed supply chain. By focusing on logistics over mere strategy, your organization can stop guessing, start winning, and ensure that every data point, be it a click or a voice command in the future, delivers measurable facts.

Once the supply chain is built, the real competitive edge lies in how you direct the flow. A challenge we will tackle in part two as we deep dive into the world of data orchestration. Watch the full Data Collection Session [here](https://tealium.com/resource/webinar/masterclass-optimize-your-data-collection/)
.

[https://tealium.com/resource/webinar/masterclass-optimize-your-data-collection/](https://tealium.com/resource/webinar/masterclass-optimize-your-data-collection/)