Use Cases & Trials
The Operator Data space (Athens, Greece)
As digitization reshapes the industry landscape, telecom and PayTV operators are facing major disruption to their value chains and business models. As innovation is sweeping across the industry, it pushes the telecom operators to tap valuable data. Telecom operators can use data-driven analytics models and create or use Data Spaces to gain valuable real-time insights and improve their network services, their performance and service quality, user segmentation and profiling, as well as personalize marketing initiatives and reduce churn rates.
The goal of this Use Case (UC) is to accelerate the telecom operator’s digital transformation and maintain effective revenue streams. Therefore, such operators are adopting a three-tier digital strategy, specifically, growing revenues from current services, growing strategic revenues and reducing costs.
This UC involves 2 scenarios:
Scenario 1: Social media brand equity and product reputation analysis – Call center chat analysis and interaction improvement
This scenario combines social media and call centre data. The goal is to find influencers, improve customer interactions, and boost product reputation. Data sources include Twitter data (in English and Greek) and call centre transcripts. In the first testing cycle, this scenario focused on analysing social media data using TwitHoard (for data collection) and PoolParty (for keyword extraction and sentiment analysis).
Scenario 2: Service performance analysis and subscribers increase processes
Scenario 2 analyses network performance data to optimise service quality. This involves identifying usage patterns, predicting failures, and simulating scenarios. The primary data source is user plane records. The first test cycle used anonymised data and CostNous to forecast network traffic.
Evaluation and impact
Key Performance Indicators (KPIs) measure UC1’s success, evaluating both the DataBri-X platform and the specific scenarios. These include metrics like deployment time, energy footprint, accuracy of analysis, and business impact gathered through stakeholder feedback.
The Energy Data space (Vienna, Austria)
Energy communities (ECs) offer a means to restructure our energy systems by harnessing energy and allowing citizens to participate actively in the energy transition, and thereby enjoy greater benefits such as advancing energy efficiency and lowering electricity bills. ECs can greatly benefit from a data market strategy, where energy-related data, possibly real-time can be consistently described and searched by the different actors in the community, and where energy trade can be facilitated by security, privacy, and legal mechanisms.
Nevertheless, there is great potential in extending such communities to smart buildings and industries. This calls for data management tools that can deal with multiple data descriptions and provide tools for accessing and managing data quality, all while ensuring that privacy and security requirements are met. To demonstrate the potential of DataBri-X tools, the consortium, with project partner SIE, is implementing this use case within an energy community in the Aspern Smart City testbed in Vienna, Austria.
Scenario 1: EC design & verification
This scenario aims to streamline EC feasibility assessments by creating simulation models based on weather, energy market, load profiles, and grid topology data. The focus is on reducing setup time and effort to evaluate technical and economic viability efficiently.
Scenario 2: Onboarding of participant into EC
After establishing EC feasibility, this scenario addresses integrating participants by securely connecting their assets with the EC’s system. Given diverse building automation solutions, this process tackles the complexity of varied data formats and interfaces.
Evaluation and impact
UC2 success is measured by system-level KPIs (data space deployment efficiency, tool use, energy footprint) and use-case-specific KPIs (simulation setup time, accuracy, and onboarding efficiency). Business value is demonstrated through time and cost savings and evaluating new services enabled by DataBri-X.
The Legal Data space (Hürth, Germany)
Developing legal expert solutions requires sophisticated domain knowledge in a standardized, machine-readable format. To make this data and knowledge broadly accessible, a European Legal Data Space is essential. This space serves as a foundation for researchers, the legal industry, legal professionals, and all European citizens, whose lives increasingly rely on legal services in a globalized world. The Data Space must adhere to ethical standards, legal compliance, and unbiased data to ensure sustainability and scalability.
In addition to legal documents, the Data Space includes legal knowledge like controlled vocabularies and a core legal knowledge graph, enabling the creation of smart services and tools for processing legal information. This use case specifically emphasizes creating the legal knowledge graph. Additionally, domain-specific tools and services are available through the community to facilitate insights and enhance business value. UC3 incorporates new Data Spaces features into planned and existing products and conducts user tests to evaluate their added value, supporting both assessment and future exploitation scenarios for the DataBri-X Toolset.
Use Case 3 covers three main scenarios:
Scenario 1: European Legal Data Space Nucleus
This scenario sets up the foundation of the European Legal Data Space by aggregating structured legal information and reusing infrastructure from the TRUSTS project. It includes controlled vocabularies and a legal knowledge graph, ensuring data quality and accessibility for users across sectors.
Scenario 2: Legal Data Analytics Services in a secure Data Governance setting
Expanding the data space, this scenario adds analytics tools for examining legal data, allowing stakeholders to identify patterns and trends in legal documents. It addresses unique legal data characteristics, such as language and format differences, by leveraging the DataBri-X toolbox for quality control and visualization.
Scenario 3: Seamless and legal proof application communication
This scenario promotes seamless data exchange between various legal software applications, optimizing workflows and ensuring compliance. It also explores blockchain for data security and aims to foster cross-industry collaboration to establish shared legal standards.
Evaluation and impact
UC3’s success is measured by KPIs that assess system security, tool usage, and data accessibility. The business value is demonstrated through user feedback, testing functionality, and assessing time and cost benefits, showing UC3’s potential to advance legal research and streamline legal data processes across Europe.