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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, ISO-20022 fin dsl )
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 ( see SWT MySQL rbac data services layer w session and global data frames )
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, consents, privacy policies 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,? revenue gen or cost of business?
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

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

DQ Concepts

Big Data Quality Framework Concepts

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Potential Value Opportunities

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