Obiettivo
SESCOM has invented a Smart Facility Management Model, which has been successfully applied in management of premises of global leading companies like H&M or LPP. The model leads to substantial reduction of operational expenses and energy costs. Recently SESCOM decided to put business intelligence software in the very core of its services in order to provide facility owners with tools to optimize energy use on the basis of data analytical approach.
The overall aim of SES-BI is to design and deploy to the global markets a business intelligence platform for energy-efficient facility management in B2B context. This will be accomplished as SESCOM will:
1. Redesign, develop and mature SESCOM IT solutions into a full-grade Business Intelligence platform (SESBI).
2. Deliver necessary analytical algorithms for advanced data processing that will reflect conceptual model and methodology of energy-auditing policies and directives implemented in European states in result of EP directive no. 2012/27/EU and regulation no. 517/2014.
3. Implement business intelligence services based on data exchange between all stakeholders in operations network for recommendations and decision-making in energy efficiency domain.
4. Conduct validation campaigns of the targeted system in cooperation with global retail brands (e.g. H&M).
5. Expand on the international markets in Europe, starting from deployments in MANGO, LPP, C&A and ORSAY.
The expected, targeted outcome of this innovation project is a commercially mature, fully validated SESBI business intelligence for facility management that will be deployed on the global markets.
In preparation of overall innovation project, in Phase 1 SESCOM will conduct a thorough feasibility study related to maturing the SESBI system and provide business plan and assessment of economic viability of the deployment of the project outcome.
Campo scientifico
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energy
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologyenvironmental engineeringremote sensing
- natural sciencescomputer and information sciencesdata sciencebusiness intelligence
- natural sciencescomputer and information sciencesdata sciencedata processing
Programma(i)
- H2020-EU.3.3. - SOCIETAL CHALLENGES - Secure, clean and efficient energy Main Programme
- H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
- H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEINST-1-2016-2017
Meccanismo di finanziamento
SME-1 - SME instrument phase 1Coordinatore
80 244 GDANSK
Polonia
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.