• +34.664.85.09.74
  • michele.iurillo@synergo.es
Agenda Asturias

Agenda Asturias

Agenda Asturias 14th March

14/03/2024 from 9:30
Onsite & Welcome Coffee
  • 9:30 - 10:00
  • Check-in

Onsite & Welcome Coffee

Participants of the on-site event will be able to enjoy a welcome coffee offered Synergo!

Opening Ceremony

Opening Ceremony

Michele Iurillo will open the 2024 edition of the Data Management Summit Tour Barcelona

Welcome to AS5-HUB

Welcome to AS5-HUB

Cristina Fanjul Alonso welcomes from CEEI Asturias to the Data Management Summit Tour Asturias 2024

Dama España

Dama España

Institutional opening of the event by Michele Iurillo Responsible in Learming in Dama in Dama España. DAMA ESPAÑA, the Spanish chapter of DAMA International, was created to support the knowledge and dissemination of a greater awareness of data management within the Spanish context, adopting and promoting the framework and best practices of DAMA International.

The challenge of Third Party Data quality in the Administration. Automation in depuration

The challenge of Third Party Data quality in the Administration. Automation in depuration

In the realm of administration, the challenge of Third-Party Data quality looms large, presenting a complex landscape that demands meticulous attention. Third-party data, sourced from external providers, plays a pivotal role in decision-making processes, but its reliability is often a critical concern. Ensuring the accuracy, completeness, and currency of this data becomes a paramount task for efficient administration. Automation emerges as a powerful ally in the purification process of third-party data. In the face of ever-growing datasets and the dynamic nature of information, manual data validation becomes impractical and time-consuming. Automated depuration, driven by advanced algorithms and machine learning models, accelerates the identification and rectification of discrepancies within the data. The challenge lies not only in purifying existing datasets but also in establishing robust mechanisms for continuous monitoring and improvement. Automation provides a scalable solution to address this ongoing concern by implementing real-time checks, anomaly detection, and feedback loops. This proactive approach ensures that the administration can rely on high-quality third-party data for informed decision-making.

Group Dynamic n.1
  • 11:00 - 11:20
  • Attendees

Group Dynamic n.1

The group dynamic is the most interesting moment of the DMS, the true moment of exchange of experience and confrontation between participants, rapporteurs, teachers and students. We reccomend to download the client Knowledge adds up and the attendee becomes an active part of the event. There will be different tables with a moderator and material for the Dynamics. The facilitator of the dynamics will propose different arguments for discussion and a limited time for it. At the end of the dynamic, everything will be reflected in the material available to the attendees. It is a new way of networking with an argument as answe

Data spaces: a new opportunity

Data spaces: a new opportunity

Data spaces represent a compelling frontier in the digital landscape, unveiling a new opportunity for organizations to harness the potential of interconnected and interoperable data. These virtual environments transcend traditional data silos, fostering collaboration and innovation on an unprecedented scale. In the era of data-driven decision-making, data spaces act as dynamic hubs where diverse datasets converge, enabling a holistic view of information. This convergence creates synergies across sectors, industries, and disciplines, paving the way for novel insights, discoveries, and problem-solving approaches. The inherent flexibility of data spaces provides organizations with the agility to adapt to rapidly changing business landscapes. By breaking down the barriers between disparate datasets, these spaces empower stakeholders to extract valuable patterns, correlations, and trends, leading to more informed strategies and actions.

Group Dynamic n.2
  • 11:40 - 12:00
  • Attendees

Group Dynamic n.2

The group dynamic is the most interesting moment of the DMS, the true moment of exchange of experience and confrontation between participants, rapporteurs, teachers and students. We reccomend to download the client Knowledge adds up and the attendee becomes an active part of the event. There will be different tables with a moderator and material for the Dynamics. The facilitator of the dynamics will propose different arguments for discussion and a limited time for it. At the end of the dynamic, everything will be reflected in the material available to the attendees. It is a new way of networking with an argument as answe

Intro to Roundtables

Intro to Roundtables

Michele Iurillo presents the round tables of this edition of the Data Management Summit Italy

Roundtable:Data Observability: Beyond the Horizon of Data Quality in a Dynamic World

Roundtable:Data Observability: Beyond the Horizon of Data Quality in a Dynamic World

Data Observability emerges as a crucial frontier beyond the traditional scope of data quality, venturing into the dynamic landscapes of today's information-driven world. In an era where data is both vast and constantly evolving, ensuring its reliability, consistency, and relevance requires a paradigm shift towards active and continuous observation. Unlike static data quality assessments, Data Observability involves real-time monitoring and analysis of data pipelines, processes, and systems. This dynamic approach acknowledges the fluid nature of data, recognizing that its value can change rapidly. By implementing robust observability practices, organizations gain a proactive understanding of potential issues, anomalies, or deviations in their data, allowing for timely intervention and correction. The concept goes beyond mere error detection; it encapsulates a comprehensive understanding of the data's behavior, lineage, and context. Data Observability embraces the complexity of modern data ecosystems, where data flows through interconnected systems, cloud platforms, and diverse sources. This holistic perspective enables organizations to trace the origins of data, assess its journey, and ensure its integrity across the entire lifecycle. In the pursuit of Data Observability, automation plays a pivotal role. Automated tools and intelligent algorithms continuously monitor data pipelines, identifying patterns, outliers, and deviations from expected norms. This not only enhances the efficiency of data management but also liberates human resources to focus on strategic decision-making and problem-solving With partecipación: Jesus Cristobal (Sand), Daniel Tobellino (Pentaho+), Juan Zapatero (HPE), Pablo Garcia Corzo (T-Systems), Cesar Pecharroman (Securitas) moderated by Patricia Acebes Tamargo (CTIC)

Group Dynamic n.3
  • 13:20 - 13:35
  • Attendees

Group Dynamic n.3

The group dynamic is the most interesting moment of the DMS, the true moment of exchange of experience and confrontation between participants, rapporteurs, teachers and students. We reccomend to download the client Knowledge adds up and the attendee becomes an active part of the event. There will be different tables with a moderator and material for the Dynamics. The facilitator of the dynamics will propose different arguments for discussion and a limited time for it. At the end of the dynamic, everything will be reflected in the material available to the attendees. It is a new way of networking with an argument as answe

Data Intelligent Governance at Securitas

Data Intelligent Governance at Securitas

A case history from Securitas. Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. Almost nine decades of deep experience means we see what others miss. By leveraging technology in partnership with our clients, combined with an innovative, holistic approach, we’re transforming the security industry. With 350 000 employees in 47 markets.

The customer needs us to use intelligence
  • 13:55 - 14:15
  • Carmen Albalá (TotalEnergies)

The customer needs us to use intelligence

In the dynamic landscape of the Energy Industry, the imperative to understand and cater to customer needs has never been more crucial. The phrase "The customer needs us to use intelligence" resonates profoundly in this context, reflecting a paradigm shift towards informed decision-making and tailored solutions. In this era of advanced technologies and intricate energy systems, a deep knowledge of customers' needs is the linchpin for success. Intelligence, both in terms of data analytics and industry expertise, becomes the guiding force that allows us to comprehend the intricate nuances of each customer's requirements. The Energy Industry, marked by its multifaceted challenges and evolving trends, demands a proactive approach rooted in understanding, foresight, and adaptability.

Closing Ceremony

Closing Ceremony

Conclusions of the conference and appointment to the next Data Management Summit Tour in Asturias & Canary Island

Networking Cocktail
  • 14:25 - 15:00
  • Appetizers

Networking Cocktail

Attendees to the event will be able to enjoy some appetizer offered by CEEI Asturias