Overview
Data Quality at Scale with Agentic AI: The Leap That Turns Data into Value
Sevendata, an Italian company specializing in the collection and enhancement of business data for marketing and commercial development, partnered with beSharp to enable an effective data quality process. The goal was to provide end customers with more accurate, well-profiled databases that could maximize marketing ROI through the use of Generative and Agentic AI.
The Challenges
Data quality impacts business performance.
In a market where personalization can increase conversion rates by over 200%, data accuracy makes the difference between a targeted action and wasted investment: every database inaccuracy inevitably leads to missed conversions.
During the data acquisition process from the official source Infocamere, Sevendata identified structural issues related to ATECO codes, resulting in several critical challenges:
- Official data not reflecting reality, with a direct impact on ROI
Company classification, based solely on public records and ATECO codes, proved limited and often misaligned with actual business activities. Incorrect or overly generic classifications compromised targeting strategies, exposing end customers to inefficient and scattered marketing investments. - Erosion of perceived value and trust
Poor data accuracy directly affected the quality of the data packages sold, reducing their perceived value. End customers found themselves investing time and resources in off-target contacts, negatively impacting both their trust in data as a strategic asset and the overall reputation of the service. - Lack of a structured data validation process
Despite the known limitations of official sources and reliance on ATECO codes, there was no systematic process for verifying and updating information. Any validation activities were carried out manually and retrospectively, resulting in high costs and limited scalability.
The Solution
An Agentic AI-powered data augmentation solution.
beSharp enabled Sevendata to implement an Agentic AI-powered data augmentation solution, leveraging generative models to orchestrate agent-based services.
This solution allowed the client to overcome the limitations of outdated registries and inaccurate standardized labels, identifying each company’s actual business sector with remarkable precision and delivering highly reliable classification suggestions.
With beSharp’s support, Sevendata transformed its data assets into a true strategic advantage for end customers, radically reshaping its data enrichment strategy.
