Data Quality | Uniserv 24.03.2026
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Uniserv at Big Data & AI World 2026 in Frankfurt

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Matthias Förg,
Head of Sales

Artificial intelligence, advanced analytics, and data-driven automation promise deeper insights, better forecasts, and well-informed decisions. 


In practice, however, many initiatives fall short of expectations. The reason is rarely a lack of tools or algorithms, but almost always the quality of the underlying data. Incomplete, inconsistent, or outdated information skews analysis, undermines trust in dashboards, and prevents AI from reaching its full potential.

Uniserv featured presentation: 
The Hidden Power of Clean Data  


A key highlight will be the presentation by David Hennig, Head of Business Development at Uniserv, on May 6, 2026, at 1:35 p.m. on the Agentic Analytics stage:

„The Hidden Power of Clean Data: Enabling AI, Automation and Real Insight“

David Hennig highlights the often underestimated costs that poor data quality imposes on analytics and AI initiatives. At the same time, he explains why clean data creates value across the entire organization—from better analytics and more efficient processes to well-informed decisions. Using practical examples, he outlines concrete steps companies can take to build a solid data foundation for analytics, automation, and AI.

Big Data & AI World, taking place on May 6 and 7, 2026, in Frankfurt, addresses precisely these challenges. As part of Tech Show Frankfurt, it brings together decision-makers, data and analytics leaders, and technology experts to demonstrate how companies successfully put big data, analytics, and AI into practice. Attendance is free—an ideal opportunity to learn, network, and gain concrete insights for your own data strategy.
 

Why analytics hits a wall without data quality


Today’s modern analytics platforms deliver complex analysis in real time. However, if customer data is fragmented, duplicates exist, or master data is maintained inconsistently, the results become distorted. Reports contradict one another, forecasts lose their significance, and data-driven decisions are called into question internally.

This is especially true for advanced analytics, predictive models, and AI-powered applications: without clean, consistent data, there can be no reliable insights. Only an integrated and trustworthy data foundation turns analytics into a strategic management tool—for marketing, sales, service, and management alike.
 

Uniserv live at Big Data & AI World


As a specialist in customer data management, data quality, and identity resolution, Uniserv demonstrates how companies can sustainably improve their data and make it specifically usable for analytics and AI. From analyzing existing data issues and harmonizing distributed data sources to ensuring data quality in operational processes over the long term. This generates insights that business units and management can trust. 
 

Are you in? 


📅 Save the Date: May 6 and 7, 2026

📍 Messe Frankfurt: Hall 8, Booth D128

👉  Learn how clean data turns analytics and AI into a real success factor:
 

Sign up for free now

 

 

We are here for you.


Our Customer Data Experts will quickly and competently answer your questions and find a suitable solution for your concern
 

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