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    More than 30,000 professionals make up the ecosystem of Cetif: we facilitate the meeting and exchange between banks, insurers and companies in an academic Center, competent and independent environment to share knowledge, experience and strategies on the most innovative drivers of change.

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Academy
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academy

Advanced Analytics: Applications in Banking and Insurance

Module part of the Big Data & Advanced Analytics Academy
1-4 DAYS DUAL MODE
November 10-11, 2021
Università Cattolica - AULA C212, via Carducci, 28/30 - Milan
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Closing date for entries: 23.08.1970

The integrated collection and analysis of data from external sources or available within the Company, facilitated by the evolution of Big Data & Analytics technologies, offers numerous strategic opportunities from which financial institutions cannot now disregard. For these innovation opportunities to actually translate into competitive advantage, it is imperative that individuals and organizations acquire new knowledge and skills in Big Data and Advanced Analytics. 

Date
November 10-11, 2021
Industry
BANKING, INSURANCE
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To whom it is addressed

The program is aimed at:

  • Business Analyst
  • Business Line Manager
  • Project owner
  • Staff, Management and Decision Makers of Internal Control Functions (Compliance and Internal Audit)
  • All those in various business roles who want to increase their theoretical and practical skills on Big Data & Advanced Analytics
The course is part of the Big Data & Advanced Analytics Academy
Formative Objectives.
  • Provide an overview of the Big Data phenomenon in the financial sector and delve into its relevance to different management areas
  • Understand the main applications arising from the use of Big Data and Predictive Analytics in the financial sector
  • Acquire, through case studies and exercises, the knowledge and skills needed to create new business models
  • Present the logic of use and most likely future scenarios by suggesting strategic solutions and methodological approaches for Bank innovation
The format
The training approach is based on innovative and effective teaching techniques geared toward the transfer of knowledge and behavior through:
  • theoretical lectures
  • moments of consolidation and critical revision of content
  • classroom exercises
  • simulations workshop in which the concepts learned are applied to concrete and specific cases on the banking and insurance context
The CeTIF Academy uses the Blackboard e-learning platform, which the participant can use at any time during the training. Course content can be customized and repurposed directly at the location of the company concerned based on specific training needs

Course Schedule.

Big Data, Advanced Analytics and supervised models

  • Big Data: characteristics, classification and potential
  • Data Lake, Big Data organization and usable extraction (data preparation)
  • Supervised and unsupervised models: concepts and characteristics
  • Introduction to quantitative data analysis techniques
  • Introduction to Advanced Analytics: classification, techniques and contexts of use
  • Examples and cases

Unsupervised Models and Use Case Design

  • Machine Learning and Artificial Intelligence: potential, characteristics and ethical issues
  • Machine learning and NLP (Natural Language Processing) techniques.
  • Examples and cases
  • Project work "Use case Design": devising new designs from available databases
  • FINAL TEST.
 
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