Data Strategy & Analytics

A WORLD TO DISCOVER

The Big Data Analytics  course was developed to spur new inputs for reflection starting from the analysis of large quantities of data, attributing to the evidence that emerges a crucial weight as for its impact on the management’s choices.

The course aims at developing a critical approach to data and at providing the necessary skills to manage them.

An overview will be provided on the collection architectures and technologies, on data storage and analysis. The course offers companies more awareness of the information it already has, or that it may acquire, and the way to use it correctly for the business.

Completing this experience means changing the way you relate to big data, learning to ask yourself the right questions. This vision is essential for those who wish to be able to speak the same language of technical figures, defining an important role in the context of a growing scenario.

The Big Data Analytics course consists of 10 days, for a total of five weekends (Fridays and Saturdays), during which these topics will be analyzed in depth: Big Data Analytics tools and Business Intelligence, Semantic Intelligence and Machine Learning. The lectures alternate periods of teaching and discussions among participants, when to share solutions to companies’ real issues.

If you wish to take up the challenges that big data are already setting for the market, contact the course directors to consider your participation.


Federico Ravaldi

Federico Ravaldi

Scientific Director
f.ravaldi@iconsulting.biz

" Making this experience means changing the way you relate to big data, learning to ask yourself the right questions. This vision is essential for those who wish to be able to speak the same language of technical figures, defining an important role in the context of a growing scenario. "

Federico Ravaldi

Stefano Rizzi

Scientific Director
stefano.rizzi@unibo.it

" A journey to discover the challenges and possibilities of using Big Data to enhance decision making; a broad overview of technologies and methods ranging from business intelligence to machine learning, without forgetting the issues of privacy and data protection, combining rigorous framing with hands-on sessions. "

CLASS PROFILE

  • 40

    Average age

  • 46% F - 54% M

Structure

The course consists of five residential modules held over the weekend (Fridays and Saturdays), linked to one another through self-learning activities.

The course is held on Fridays and Saturdays from 9.15am to 5.45pm  and the following topics will be dealt with:

  • Business Intelligence & Data Warehouse
  • Big Data, NoSQL & Location Intelligence
  • Machine Learning & Case Studies
  • Data Mining
  • Privacy e protezione dei dati
  • Social Business Intelligence
  • Case Study

Lessons dates are:

15-16 March 2019
29-30 March 2019
12-13 April 2019
10-11 May 2019
24-25 May 2019

COURSES

  • Business Intelligence and its role in the company application portfolio
  • Data Warehouse: process and architectures
  • Multidimensional model and OLAP
  • Data Warehouse systems development cycle


  • Data Revolution & Big Data
  • Hadoop Platform to collect, manage, provide governance and display Big Data
  • Real-life cases


  • Automatic learning techniques
  • Artificial Intelligence
  • Symbolic and Subsymbolic AI
  • Case studies & exercises


  • Introduction to Data Mining
  • Techniques, algorithms and methodologies
  • Data Mining LAB with Weka


  • Privacy and big data
  • Data subject’s rights and Sensitive Data
  • Minimum and suitable security measures


  • Use of Big Data for Social Media
  • Social Media Monitoring
  • Architectures and technologies of the Location Intelligence systems


Presentation of a real-life case study on a complex Big Data Analytics project.

Learning method

Our courses are characterized by lectures, interspersed with discussion among participants and exchange of common problems and solutions.
Faculty members provide case studies and company experiences.

Networking

Networking develops among students of the same class, between participants and lecturers, as well as with students from other courses or previous editions of the same program.

COMPANIES

Over the years, our partners have been continuously involved in various activities that make up the structure of our programs. Companies belonging to our network participate in project work and master classes; they contribute actively in introducing guest speakers and organizing company visits. Our partners are our first supporters: sponsoring various scholarships, hosting internships for students, and providing career opportunities for graduates.

The Bologna Business School’s business partners are:

Admenta Aeffe Aemilia Hotel Aeroporto G. Marconi Aforisma AGGF Diego Dalla Palma Alce Nero Mielizia Alfa Wassermann Allestimenti Srl Altograf Altro Mercato Ancora Servizi Antica Corte Pallavicina Apt Emilia Romagna Arper Arredoluce Automobili Lamborghini Avanzi Holding Azienda Vinicola Rivera Bahlsen Banca Di Bologna Banca Popolare dell'Emilia Romagna BAXTER Bellco s.r.l. Berluti BolognaFiere Bonatti Bonfiglioli Riduttori Borbonese B&T Buffetti Butos Horeca B.V.M. - Les Copains Cadiai Camera di Commercio di Sidney Camst Cantina Feudi di San Gregorio Caregiving Cassa di Risparmio di Bologna Cateringross Caviro Cefla Centro Hercolani Ceramica Sant'Agostino Ceramiche Gardenia Orchidea Champion Europe S.p.A. Chloride Chloride SPA Cineteca di Bologna Cinius Cipriani Abbigliamento Cir Food Cisa CMC CNA Comer Industries Conad Confindustria Emilia Romagna Conserve Italia Consorzio Parmigiano Reggiano Coop Adriatica Coop Centrale Adriatica Coop Ceramica Imola Coop Estense Credem Credito Emiliano Crif Cucina Srl Datalogic D&C Deloitte Diennea Dorelan Ducati Motor Holding Ebc Consulting EGS Solution Ente Fiere di Parma Ernst & Young Ervet E-Stat Eurocomm Eurovo Fashion Lab Fastweb Fater Felsinea Ristorazione Ferrara Food Ferrari Ferretti Group Ferrovie Emilia Romagna - Gruppo TPER Fincantieri Florim Ceramiche Flyer Fmr Artè Fondazione Aldini Valeriani Fratelli Branca International Freelands Network Srl Fruitecom Furla Gabs Ga.Ma Game 7 Athletics Ga Operation G.D GDH General Electric Geocom GE Oil & Gas Gesa Finance Ghepi Gi Group Gmpr Group Granarolo Graphic Store Groupm Gruppo Cinti Gruppo Coin Oviesse Gruppo Hera Gruppo IMA Gruppo Industriale Tosoni Gruppo La Perla Gruppo Max Mara Gruppo Monrif Gruppo Montenegro Gruppo Trevi Guaber Gucci H3G Havaianas Haworth Hays Hoel Consulting Iconsulting I.G.D. I Guzzini Illuminazione Ikea Infoarea Info Manager Interfashion Intermedia Intertaba Iren Gruppo Istituto Giordano Jackpot Staff Jeckerson Johnson & Johnson Medical Kemon Kirey Srl Kpmg Laboratorio Delle Idee La Compagnia della Bellezza Landi Renzo La Rinascente Leroy Merlin Limoni Link Liu Jo Lobby Bros Loro Piana Macron Magneti Marelli Mandarina Duck Manutencoop Marco Polo Maserati Mazars & Guerard Mcs Mec3 Mikado Film Mollusco & Balena Monnalisa Mortara Rangoni Mtv Italia Nike Italy Nimax Noemalife Nomisma Octagona Oikos Otis Group Page Personnel Panda Pdfor Consulenza Direzionale Photosì Piquadro Praxi Promotor International Pwc Radiant Rcs Media Group Regenesi Regione Emilia Romagna Renée Blanche Ria & Partners S&A Change Saeco International Group Samia Scm Group S.E.C.I. Gruppo Maccaferri Sergio Rossi Sida Group Sigaro Toscano Sigma Societa' Italiana Vini Starwood Hotel Technogym Teikos Consulting Terme Di Salsomaggiore Tetra Pack The Colomer Group Tonino Lamborghini Twinergy Umberto Cesari Vini UniCredit UniCredit Group Unigrà Unipol Unique Italia Valsoia Vicini Zanotti Yoox

FEES

The registration fee for the entire program is € 4,000 (plus VAT) to be paid before the start date of the course.

The fee includes attendance in the program, all the study material available through the online platform and access to Bologna Business School services, which include a personal account for the Alma wi-fi, use of the pcs in the Computer Lab, access to the study areas, and access to the indoor gym. There is ample free parking in the School’s park.

INTERPROFESSIONAL FUNDS

Alumni and Companies can check the availability of vouchers at the Interprofessional Fund reference:

Fondimpresa – for pictures / middle management
Fund Managers SMEs – for managers of industrial SMEs
Fonditalia
Fondirigenti - for managers
Fon.Coop – for Cooperatives

Alma is accredited Fon.Ter - for companies and Tertiary Services

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REQUIREMENTS

The course is restricted to a maximum of 25 participants with at least 2 years of work experience.

APPLICATION PROCESS

To register, simply download the registration form and send it by email or fax (051 2090112).

FAQs

Faculty

Faculty members at Bologna Business School work together offering outstanding teaching standards. An international and interdisciplinary approach is guaranteed by a joint team of distinguished national core professors, adjunct, visiting professors, guest speakers and top managers.

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