DVP and Hyper-personalisation: Difference between pages
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''Information technology - financial services - embedded finance.'' | |||
Hyper-personalisation is the use of technology including data analytics, artificial intelligence and automation to create highly customised service offerings to new and existing customers. | |||
:<span style="color:#4B0082">'''''Businesses will provide vastly superior customer experiences'''''</span> | |||
:"The reason embedded finance is going to be so successful – it is predicted to be worth $3.5 trillion by 2030 – is because of the personalisation options available. | |||
:Businesses can behave like hyper-specific challenger banks and target communities that share a passion, interest or career, but they can go further than that. | |||
:They can target individual members of their own customer-communities. | |||
:Think how Google monetises search and social media monetises relationships. | |||
:Businesses will soon be doing the same thing, but with spending data. | |||
:For example, if you purchase a flight or a hotel, chances are you’ll also be in the market for travel insurance, holiday money, budgeting tools and everything else involved in a trip abroad. | |||
:Businesses can offer these options right at the point of need, triggered by specific purchases, emerging spending patterns or even | |||
geolocation. | |||
:This hyper-personalisation offers a vastly superior level of customer experience and I’m certain it will soon become the standard." | |||
:''The Treasurer - 2022 Issue 3 - p33 - Philipp Buschmann, co-founder & CEO, AAZZUR.'' | |||
== See also == | == See also == | ||
* [[ | *[[Analytics]] | ||
*[[Artificial intelligence]] (AI) | |||
*[[Bank]] | |||
*[[Banking as a service]] | |||
*[[Budget]] | |||
*[[Buy Now Pay Later]] (BNPL) | |||
*[[Cambridge Centre for Alternative Finance]] | |||
*[[CEO]] | |||
*[[Challenger bank]] | |||
*[[Data ]] | |||
*[[Disruptor]] | |||
*[[Embedded finance]] | |||
*[[Financial services]] | |||
*[[Fintech]] | |||
*[[Friction]] | |||
*[[Information technology]] | |||
*[[Insurance]] | |||
*[[Interoperability]] | |||
*[[Open banking]] | |||
*[[Open banking APIs]] | |||
*[[Robotic process automation]] (RPA) | |||
*[[Standard]] | |||
*[[Tailor]] | |||
[[Category:The_business_context]] | |||
[[Category:Identify_and_assess_risks]] | |||
[[Category:Manage_risks]] | |||
[[Category:Risk_frameworks]] | |||
[[Category:Risk_reporting]] | |||
[[Category:Cash_management]] | |||
[[Category:Financial_products_and_markets]] | |||
[[Category:Liquidity_management]] | |||
[[Category:Technology]] |
Revision as of 16:17, 26 September 2022
Information technology - financial services - embedded finance.
Hyper-personalisation is the use of technology including data analytics, artificial intelligence and automation to create highly customised service offerings to new and existing customers.
- Businesses will provide vastly superior customer experiences
- "The reason embedded finance is going to be so successful – it is predicted to be worth $3.5 trillion by 2030 – is because of the personalisation options available.
- Businesses can behave like hyper-specific challenger banks and target communities that share a passion, interest or career, but they can go further than that.
- They can target individual members of their own customer-communities.
- Think how Google monetises search and social media monetises relationships.
- Businesses will soon be doing the same thing, but with spending data.
- For example, if you purchase a flight or a hotel, chances are you’ll also be in the market for travel insurance, holiday money, budgeting tools and everything else involved in a trip abroad.
- Businesses can offer these options right at the point of need, triggered by specific purchases, emerging spending patterns or even
geolocation.
- This hyper-personalisation offers a vastly superior level of customer experience and I’m certain it will soon become the standard."
- The Treasurer - 2022 Issue 3 - p33 - Philipp Buschmann, co-founder & CEO, AAZZUR.
See also
- Analytics
- Artificial intelligence (AI)
- Bank
- Banking as a service
- Budget
- Buy Now Pay Later (BNPL)
- Cambridge Centre for Alternative Finance
- CEO
- Challenger bank
- Data
- Disruptor
- Embedded finance
- Financial services
- Fintech
- Friction
- Information technology
- Insurance
- Interoperability
- Open banking
- Open banking APIs
- Robotic process automation (RPA)
- Standard
- Tailor