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A number of infrastructure operations, such as data center management, data storage and disaster
recovery, should move to a cloud after a thorough evaluation of different vendors offerings and
based on the flexibility of cloud vendors in documenting contracts.
Although very few financial firms are currently using cloud computing for their core
applications, different hosting architectures provided by IaaS cloud providers and new avenues
in the community and hybrid cloud space, will drive more firms to move their core applications
to the cloud. In fact, core solutions, such as batch processes running throughout the day,
analytics and reporting applications, are perfect candidates.
There are countless opportunities for financial services firms to leverage the benefits of cloud
computing by migrating one step at a time, a variety of applications to the cloud.
Non-core applications: can and should easily move to the cloud.
 Business processes such as recruiting and candidate tracking
 Performance tracking Systems and Data for employee incentive structures.
 Operational Management Services like
i. Project Management Application Or Data
ii. Time tracing and management application and data
iii. Organization-wide travel management System and Data
iv. External Contactors Billing Data
 CRM - Referrals & Appointments data for cross LOB access
 Metadata management system and Data
 Reference Data Hub
1. High analytics calculation: Applications that calculate such branch level analytics (Specific
Data Marts), as operational metrics, which are accessed by all the branches throughout the
country and need to have high tough put during business Hours, perfect candidates for a grid-
based cloud.
This process is prone to high volumes during times of peak business hours in the branches
across US a cloud-based grid service can easily scale up or scale down depending on the data
load and particular business Hour of the day. What’s more, the applications can be seamlessly
deployed on multiple grid nodes, reducing maintenance overhead.
Also, since such applications only run for specific durations, dedicated hardware leads to
unutilized CPU cycles, which can be optimized by a grid-based cloud. The whole solution can
be implemented on a private cloud where existing computing power can be virtualized and
made available as an on demand service.
2. Reference data HUB: Reference data carries contextual value and meaning and therefore its
use can drive business logic that helps execute a business process, create a desired application
behavior or provide meaningful segmentation to analyze transaction data. Reference data is
simpler, more slowly changing, but has semantic content that is used to categorize or group
other information assets – including master data – and gives them contextual value. Various
types of reference data, such as
Internal
 Customer number, contact name and address, phone numbers, and Physical
Addresses
 GL Chart of Accounts specific to Legal Entities
 Organizational Structure
 Product Hierarchy
 Account Rollups
 Consolidation nodes
 Branch Information etc.
External
 Country Codes
 State Codes
 Zip Codes
 NAICS Codes
Other Referential
 Transaction Codes and Product Codes
 FX Rates Referential
 Currency codes Referential
 Legal Credit and Master Agreements Referential
3. Metadata management system: building a MMS solution and hosting it in the cloud. Types of
Metadata are :
 Business metadata
 Technical metadata
 Operational metadata
 Can build Extensive metadata connectors for information consumption throughout lines
of business
 Can scale up as the business information grows on Cloud Storage System
 Application hosted on powerful cloud environment can have advanced search and
browse capabilities.

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GenAI Risks & Security Meetup 01052024.pdf
 

Cloud Strategies for Financial Firms : Migrating one step at a time

  • 1. A number of infrastructure operations, such as data center management, data storage and disaster recovery, should move to a cloud after a thorough evaluation of different vendors offerings and based on the flexibility of cloud vendors in documenting contracts. Although very few financial firms are currently using cloud computing for their core applications, different hosting architectures provided by IaaS cloud providers and new avenues in the community and hybrid cloud space, will drive more firms to move their core applications to the cloud. In fact, core solutions, such as batch processes running throughout the day, analytics and reporting applications, are perfect candidates. There are countless opportunities for financial services firms to leverage the benefits of cloud computing by migrating one step at a time, a variety of applications to the cloud. Non-core applications: can and should easily move to the cloud.  Business processes such as recruiting and candidate tracking  Performance tracking Systems and Data for employee incentive structures.  Operational Management Services like i. Project Management Application Or Data ii. Time tracing and management application and data iii. Organization-wide travel management System and Data iv. External Contactors Billing Data  CRM - Referrals & Appointments data for cross LOB access  Metadata management system and Data  Reference Data Hub 1. High analytics calculation: Applications that calculate such branch level analytics (Specific Data Marts), as operational metrics, which are accessed by all the branches throughout the country and need to have high tough put during business Hours, perfect candidates for a grid- based cloud. This process is prone to high volumes during times of peak business hours in the branches across US a cloud-based grid service can easily scale up or scale down depending on the data load and particular business Hour of the day. What’s more, the applications can be seamlessly deployed on multiple grid nodes, reducing maintenance overhead. Also, since such applications only run for specific durations, dedicated hardware leads to unutilized CPU cycles, which can be optimized by a grid-based cloud. The whole solution can be implemented on a private cloud where existing computing power can be virtualized and made available as an on demand service.
  • 2. 2. Reference data HUB: Reference data carries contextual value and meaning and therefore its use can drive business logic that helps execute a business process, create a desired application behavior or provide meaningful segmentation to analyze transaction data. Reference data is simpler, more slowly changing, but has semantic content that is used to categorize or group other information assets – including master data – and gives them contextual value. Various types of reference data, such as Internal  Customer number, contact name and address, phone numbers, and Physical Addresses  GL Chart of Accounts specific to Legal Entities  Organizational Structure  Product Hierarchy  Account Rollups  Consolidation nodes  Branch Information etc. External  Country Codes  State Codes  Zip Codes  NAICS Codes Other Referential  Transaction Codes and Product Codes  FX Rates Referential  Currency codes Referential  Legal Credit and Master Agreements Referential 3. Metadata management system: building a MMS solution and hosting it in the cloud. Types of Metadata are :  Business metadata  Technical metadata  Operational metadata  Can build Extensive metadata connectors for information consumption throughout lines of business  Can scale up as the business information grows on Cloud Storage System  Application hosted on powerful cloud environment can have advanced search and browse capabilities.