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Energy is the sector most strongly connected with climate change moderation, and this correlation and interdependency is largely investigated, in particular as regards renewable energy and sustainability issues. The United Nations, European Union, and all countries around the world declare their support for sustainable development, materialized in agreements, strategies, and action plans. This diversity, combined with significant interdependencies between indicators, brings up challenges for data analysis, which we have tackled in order to decide on relevant indicators. We have built a research framework based on Business Intelligence & Analytics for monitoring the SDG7 indicators that aim at “Ensuring access to affordable, reliable, sustainable, and modern energy for all”, in relation with SDG13 indicators targeting the sustainable aspect of energy. In developing the Business Intelligence & Analytics framework, we have considered Design Science Research in information systems guidelines. We have designed a process for carrying out Design Science Research by describing the demarche to develop information artifacts, which are the essence of a Business Intelligence & Analytics system. The information artifacts, such as data source, preprocessed data, initial and final data model, as well as data visualizations, are designed and implemented in order to support clean and affordable energy data analysis. The proposed research model, applied for Romania in this paper, serves as a point of departure for investigating data in a more integrated way, and can be easily applied to another country case study.
Mihaela Muntean; Doina Dănăiaţă; Luminiţa Hurbean; Cornelia Jude. A Business Intelligence & Analytics Framework for Clean and Affordable Energy Data Analysis. Sustainability 2021, 13, 638 .
AMA StyleMihaela Muntean, Doina Dănăiaţă, Luminiţa Hurbean, Cornelia Jude. A Business Intelligence & Analytics Framework for Clean and Affordable Energy Data Analysis. Sustainability. 2021; 13 (2):638.
Chicago/Turabian StyleMihaela Muntean; Doina Dănăiaţă; Luminiţa Hurbean; Cornelia Jude. 2021. "A Business Intelligence & Analytics Framework for Clean and Affordable Energy Data Analysis." Sustainability 13, no. 2: 638.
An Application-to-Application integration framework in the cloud environment is proposed. The methodological demarche is developed using a data symmetry approach. Implementation aspects of integration considered the Open Data Protocol (OData) service as an integrator. An important issue in the cloud environment is to integrate and ensure the quality of transferred and processed data. An efficient way of ensuring the completeness and integrity of data transferred between different applications and systems is the symmetry of data integration. With these considerations, the integration of SAP Hybris Cloud for Customer with S/4 HANA Cloud was implemented.
Mihaela Muntean; Claudiu Brândaş; Tanita Cîrstea. Framework for a Symmetric Integration Approach. Symmetry 2019, 11, 224 .
AMA StyleMihaela Muntean, Claudiu Brândaş, Tanita Cîrstea. Framework for a Symmetric Integration Approach. Symmetry. 2019; 11 (2):224.
Chicago/Turabian StyleMihaela Muntean; Claudiu Brândaş; Tanita Cîrstea. 2019. "Framework for a Symmetric Integration Approach." Symmetry 11, no. 2: 224.
Sustainable implementation of access control implies approaches at different levels. Beyond the authorization framework at application level, the demarche will be strengthened by providing security objects at database level. In terms of sustainable information systems, the proposal extends the integrated security approach of an SAP application with initiatives at database level programmed in PL/SQL. The organization’s policies and procedures are taken into consideration.
Mihaela Muntean; Laurenţiu Dijmărescu. Sustainable Implementation of Access Control. Sustainability 2018, 10, 1808 .
AMA StyleMihaela Muntean, Laurenţiu Dijmărescu. Sustainable Implementation of Access Control. Sustainability. 2018; 10 (6):1808.
Chicago/Turabian StyleMihaela Muntean; Laurenţiu Dijmărescu. 2018. "Sustainable Implementation of Access Control." Sustainability 10, no. 6: 1808.
Business intelligence (BI) is an umbrella term for strategies, technologies, and information systems used by the companies to extract from large and various data, according to the value chain, relevant knowledge to support a wide range of operational, tactical, and strategic business decisions. Sustainability, as an integrated part of the corporate business, implies the integration of the new approach at all levels: business model, performance management system, business intelligence project, and data model. Both business intelligence issues presented in this paper represent the contribution of the author in modeling data for supporting further BI approaches in corporate sustainability initiatives. Multi-dimensional modeling has been used to ground the proposals and to introduce the key performance indicators. The démarche is strengthened with implementation aspects and reporting examples. More than ever, in the Big Data era, bringing together business intelligence methods and tools with corporate sustainability is recommended.
Mihaela Muntean. Business Intelligence Issues for Sustainability Projects. Sustainability 2018, 10, 335 .
AMA StyleMihaela Muntean. Business Intelligence Issues for Sustainability Projects. Sustainability. 2018; 10 (2):335.
Chicago/Turabian StyleMihaela Muntean. 2018. "Business Intelligence Issues for Sustainability Projects." Sustainability 10, no. 2: 335.