{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T16:24:07Z","timestamp":1776270247101,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"abstract":"<jats:p>In this paper we present the MOMIS Dashboard, an interactive data analytics tool built to explore and visualize contents from varied data sources through several dynamic views (e.g. maps, charts, pies, etc.). The software tool is very versatile, and supports connections to the major relational DBMS and Big Data sources. Moreover, it can be connected to MOMIS, a powerful Open Source Data Integration system, capable of integrating heterogeneous data sources such as enterprise information systems as well as sensors data. MOMIS Dashboard provides a secure permission management to limit data access on the basis of user roles, and a Designer to create and share personalized insights of the company KPIs, thereby facilitating enterprise collaboration. We will illustrate the MOMIS Dashboard efficacy in a real enterprise scenario: a production monitoring platform that analyzes real-time and historical data collected through sensors, located on machines, detects early marks of malfunctions or failures and sends alarm notifications to the supervisors, therefore optimizing both production and energy consumption, while ensuring preventive maintenance.<\/jats:p>","DOI":"10.3233\/978-1-61499-898-3-1074","type":"book-chapter","created":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T17:19:26Z","timestamp":1739985566000},"source":"Crossref","is-referenced-by-count":1,"title":["MOMIS Dashboard: A Powerful Data Analytics Tool for Industry 4.0"],"prefix":"10.3233","author":[{"family":"Magnotta Luca","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Gagliardelli Luca","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Simonini Giovanni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Orsini Mirko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Bergamaschi Sonia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Advances in Transdisciplinary Engineering","Transdisciplinary Engineering Methods for Social Innovation of Industry 4.0"],"original-title":[],"deposited":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T17:29:33Z","timestamp":1739986173000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-897-6&spage=1074&doi=10.3233\/978-1-61499-898-3-1074"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-898-3-1074","relation":{},"ISSN":["2352-751X"],"issn-type":[{"value":"2352-751X","type":"print"}],"subject":[],"published":{"date-parts":[[2018]]}}}