Creating a new paradigm of business value creation by fostering collaboration and data sharing while minimising the cost of business transformation

Informazioni relative al progetto

DEMS-Nixus

ID dell’accordo di sovvenzione: 871647

DOI

10.3030/871647

Progetto chiuso

Data della firma CE 22 Agosto 2019

Data di avvio 1 Settembre 2019

Data di completamento 28 Febbraio 2021

Finanziato da

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Costo totale

€ 2 863 500,00

Contributo UE

€ 2 004 450,00

Coordinato da

GLOBAL DATA EXCELLENCE SA
Switzerland

Periodic Reporting for period 2 - DEMS-Nixus (Creating a new paradigm of business value creation by fostering collaboration and data sharing while minimising the cost of business transformation)

Periodo di rendicontazione: 2020-06-01 al 2021-02-28

Sintesi del contesto e degli obiettivi generali del progetto

With DEMS-Nixus, GDE creates a paradigm shift: by changing the responsibility for data synchronisation (from the people within the organisation to advanced AI meta-algorithms), DEMS-Nixus automates the permanent dialog between the real world (humans) and the digital world (machines). The social dependence is drastically reduced by using natural language in the automation of business rules definition. The platform implementation does not require changing the existing infrastructure of the organisation (it is independent of the infrastructure maturity level), thus accelerating business value creation while minimising the cost of business transformation.

Lavoro eseguito dall’inizio del progetto fino alla fine del periodo coperto dalla relazione e principali risultati finora ottenuti

• Significant progress was made in the Work Package 1 Data Sharing sphere which is 80% complete. As part of the Data Engineering services, the Data Acquisition and Data Discovery tasks are complete and work remains to be conducted in the Data Preparation task in particular in the implementation of data transformation functionalities. Regarding the Data qualification and certification services, the Data Qualification, Data Sharing and Data Subscription tasks are complete but work remains to be done on the Data Certification task in particular with the data lineage graphical feature implementation.
• Work Package 2 Machine Learning & AI has been completed. Semantic data-model generation, business rule generation, data dependency discovery and automatic SQL generation for business rules conformity have been implemented.
• Work Package 3 Community Management has been completed. The intuitive graphical navigation, filter and facet-based search tool and the collaboration services (messaging, alerts, tagging, ratings, networking) have all been implemented.
• Significant progress was made in Work Package 4 Integration and Tests. The tests have been performed and corresponding adjustments made to the software, pre-commercial pilots have been conducted successfully and the resulting documentation was updated. Only a few tests remain to be written and training videos remain to be edited and integrated in the online help.

Progressi oltre lo stato dell’arte e potenziale impatto previsto (incluso l’impatto socioeconomico e le implicazioni sociali più ampie del progetto fino ad ora)

In spite of the technological revolution of recent decades, the ruling doctrine in data integration and analysis has practically not changed since the 1970’s. Big corporates and small start-ups continue to develop data analytics solutions focused on data integration (through integration platforms), data analytics (through various analytics and Business Intelligence solutions) or information Exchange.
Conventional systems are the heart of the problem. KPI follows a linear path and it’s lost in translation. KPIs are stuck with the past. We need to move from KPI to KVI (Key Value Indicator) with DEMS to create a Dynamic dialog between human wisdom and data. The KVI path sold complexity and costs and accelerate the value creation. The KVI is governed by value.

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