Agenda
Agenda
Training Agenda
Advanced Data Analytics for Currency Management
11:00 – 12:00
Banknote analytics: its building blocks and tech foundations
09:30 - 11:00
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Making the cash cycle more cost-efficient and sustainable
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Utilising cash flow data to maximize currency lifecycle
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Understanding migration patterns of local currency
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Practical use of banknote serial-number reading
Sabine Haase serves as Chief Digital Officer at G+D Currency Technology, a role in which she is developing new digital business models and products to drive innovation and adaptability of the currency cycle. With her team she creates new digital and software products in the space of IoT, cash cycle management and payment using cutting-edge technologies such as Digital Twins, Machine Learning, AI, or cloud-based services.
She looks back upon more than 20 years of professional experience in digital management positions covering a range of industry sectors such as retail, media, finance, production industry and IT. During her career she has developed, grown and transformed digital businesses, ranging from dynamic start-ups to digital business in larger corporates. Before she joined G+D Currency Technology Sabine served as one of the CEOs in the Management Board of Scout24, a German-based online classifieds group. In this role she was responsible for delevoping the portal FinanceScout24 as well as start-up and incubation business.
12:00 – 12:15
Break
11:00 - 11:30
12:15 – 13:15
How to run a successful data analytics project
12:15 - 13:15
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Setting the right objectives
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Understanding your data
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The tools to use
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Execution tips
Lee has been a member of the cash community for nearly 30 years, 20 as the Managing Director of 7 Layer Solutions. He has consulted on, conceived, functionally designed and implemented solutions for central banks, commercial banks, CITs and retailers throughout the world.
7 Layer Solutions are a specialist software development company. Formed 20 years ago they have conducted projects globally across the entire cash logistics supply chain. Their developments are deployed across thousands of sites but frequently as the company behind the big name, they are unseen experts in cash processing software.
13:15 – 13:30
Break
13:00 - 14:00
13:30 – 14:30
Effective Big Data tools in banknote circulation
14:00 - 15:30
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Framework for monitoring the behaviour of banknotes in the circulation
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Application of Big Data in vault management
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Building blocks for effective use of Big Data
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Case study: making the most of Big Data and AI
New Opportunities in Digital Currencies
11:00 – 12:00
Effective use of standardisation in cash processing
16:00 - 17:30
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Opportunities and requirements of standardisation
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Overview of key issues and barriers to standardisation
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Discussion: how can central banks collaborate in the cash processing system
Lee has been a member of the cash community for nearly 30 years, 20 as the Managing Director of 7 Layer Solutions. He has consulted on, conceived, functionally designed and implemented solutions for central banks, commercial banks, CITs and retailers throughout the world.
7 Layer Solutions are a specialist software development company. Formed 20 years ago they have conducted projects globally across the entire cash logistics supply chain. Their developments are deployed across thousands of sites but frequently as the company behind the big name, they are unseen experts in cash processing software.
12:00 – 12:15
Break
11:00 - 11:30
12:15 – 13:15
Digital money: are CBDCs, stablecoins and crypto-assets threats or opportunities?
09:30 - 11:00
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Overlaps and differences between privately issued crypto-assets and CBDCs
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Understanding the impacts on central banks mandates and responsibilities
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Implications for currency management
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Discussion: How can central banks harness technological innovation to compete?
13:15 – 13:30
Break
13:00 - 14:00
13:30 – 14:30
False unfit: how to make the cash cycle more efficient
13:30 - 14:30
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Overview of the key issues with sorting machines
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Framework and strategies to make the cash cycle more efficient
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Applying the false unfit method to a centralised model
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Case study: understanding how the De Nederlandsche Bank uses the false unfit fit method