Key Points

1. Account Aggregation is a foundation financial data service
   1. future products can provide more data, function and analytic components of wealth and money management
2. Data pipelines connect, transform data sources to data targets in batches or event streams
3. Multiple roles to add value in data services: provider, aggregator, agent, cataloger, manager, notifier, security, compliance, transformer, processor, usage, logger, analytics, indexer, archiver, finder, viewer, presenter, access controller, resource manager, identity manager, smart cache
   
   1. what are the open-source components we can leverage?
4. common architecture for definitions, development, services, deployment, management, support across all platforms is key
5. conceptual model:   client app >  ds broker > ds agent > ds service > resources > ds adapters > client app
6. common architecture standards is key, ideally using established orgs ( SOC 2, MOBI, ISO, identity foundation, IEEE, IETF )
7. focus on domains to add value, market segmentation:  banking, wealth management, insurance, credit, loans,
   1. provide leading suite adapters ( eg Salesforce, SAP, HIE etc )
8. identity current solution providers for financial data services by domain: equitites, bonds, accounts, purchases, orders
9. a data service is a service to other solutions - not a top level solution to users or organizations
10. account aggregator ds value-adds for VSM, VCN
    1. aggregation, audit, analytics, events, notifications, data trackers, identity, registrations, rbac, dqm, usage x user - data, sql extensions, consent mgt
11. find best aggregators and work on SWOT reputations, credentials in standards orgs
12. study full Homenet syndication life cycle from market dev through support, retention - api and sftp interfaces
13. what are the data products by segment? how are they priced? reward programs for usage over forecast,
14. aggregation audit >> what do we have now?
15. tech study>> data bricks, spark, container spring boot msvc, rbac fwks
16. marketing study>> service business case - who needs? value? other providers SWOT ranked? opporunity sized? success path? success kpi?
17. tech costs>> give mid-range providers
18. more

References

Key Concepts

Data Quality - SOC 2 Data Quality Standards for Data Services

https://www.imperva.com/learn/data-security/soc-2-compliance/

SOC 2 is an auditing procedure that ensures your service providers securely manage your data to protect the interests of your organization and the privacy of its clients. For security-conscious businesses, SOC 2 compliance is a minimal requirement when considering a SaaS provider.

Developed by the American Institute of CPAs (AICPA), SOC 2 defines criteria for managing customer data based on five “trust service principles”—security, availability, processing integrity, confidentiality and privacy.

DQM dimensions and kpi

Data Quality Concepts from Informatica

https://www.informatica.com/in/products/data-quality/informatica-data-quality.html

Potential Value Opportunities

VCN opportunities by market segment

account aggregator ds value-adds for VSM, VCN

aggregation, audit, analytics, events, notifications, data trackers, identity, registrations, rbac, dqm, usage x user - data, sql extensions, consent mgt

SWT Open Data Services Platform

Integrated architecture and services for:

job managment

data ingestion in batch

data ingestion via api

Potential Challenges

Existing Account Aggregators

Mint

Betterment

Candidate Solutions

Step-by-step guide for Example

sample code block

Recommended Next Steps

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