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ModelDR - the tool that untangles complex information

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'Whether upgrading data aggregation processes or improving system governance architecture, ModelDR solves the major problem that prevents financial institutions from earning earning more than their cost of capital; the increasing burden of regulation.’

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ModelDR - the tool that untangles complex information

  1. 1. ModelDR the tool that untangles complex information
  2. 2. Many sources Multiple views of multiple sources is the data challenge OpenGamma (Postgress) Reference Data Corep Finrep (XBRL Taxonomy) Spreadsheets View 1 View 2 View 3 View 4 2
  3. 3. Traditional data architecture uses data warehouse 3
  4. 4. Data warehouse Front office system Client ID Name Client type 1 Thatcher Gold 2 Blair Silver 3 Cameron Bronze Risk system Client ID LEI Name Client type Risk Rating 1 987 Thatcher Gold High 2 654 Blair Silver Medium 3 654 Cameron Bronze Medium 321 Obama LowLEI Name Risk rating 987 Thatcher High 654 Blair Medium 321 Obama Low 4 Warehouse duplicates & transforms the data
  5. 5. ModelDRExisting systems 5 Data Point Model architecture OpenGamma (Postgress) EBA COREP (Access) Corep Finrep (XBRL Taxonomy) Spreadsheets Data point models EBA COREP Spreadsheets Corep Finrep FIBO Open Gamma In place access Semantics View 1 View 2 View 3 View 4
  6. 6. 6 The Data Point Model Value Value Set Data Point Aspect Context Many Value 1 The data point meta model separates the data points and their values And treats concept relationships as data
  7. 7. Traditional strategy 7 Example DPM with instance data DoBs Client 1925-10-13 Thatcher 1953-05-06 Blair 1953-05-06 Cameron Data Point Model Aspect Values 1945-01-01 1953-05-06 Aspect Values Thatcher Blair Cameron DPs !6#^ 7f%$ ^rrA FQ!@ ~A¬0 Aspects DoB Client Rules
  8. 8. Regulator Roles Reporting and analytics Data management tooling 8 How ModelDR fits into the banking ecosystem modelDR Systems Trading systems Calculation Engine Reg Report needs (e.g. XBRL taxonomy) Spreadsheets Risk systems Data warehouses Report writer Data modelling Ontology managementTopbraid Data Architect Manager Data Owner Standards FIBO New viewpoint requirements Report schema & semantics Global language Existing Ontologies Data Models RDF & Sparql Data Schemas Existing Report Designs Semi structured Data designs Inputs & Outputs Cross DB Queries New schemas New Ontologies New Report Designs Meta data in SS Congruent View of 100% Data quality metrics Congruent View
  9. 9. • Gives a single, congruent viewpoint of all the banks data (with provenance) • Enables queries across multiple database, eliminating new data warehouses • Provides users fingertip access to the data architecture in each system • Speaks a common business language by integrating financial ontologies like FIBO and XBRL 9
  10. 10. 10 A third DPM wired together from 2 existing DPM Regulation may be the driver but efficiencies will evolve from a universal language across the big data technology curveSelect legacy systems for ModelDR to reverse engineer into DPM format ModelDR ‘wires up the new DPM viewpoint to an existing or new database Model DR forward engineers a query drawn from the new viewpoint New reports are drawn from old system architec ture Assessment of tactical transition to the ModelDR strategic solution Steps towards the Model DR data solution
  11. 11. Use cases with demonstration 1. Untangle existing databases 2. Untangle existing spreadsheets 3. Measure and guarantee data quality 11
  12. 12. 12 Business Entity Class Level Adaptor Attribute Adaptors Adaptors Class Level Aspect Attribute Level Aspect Attribute Level Value Sets Resources 1. Untangle an existing data base
  13. 13. 13 2: Untangle a spreadsheet Report NameY Axis Aspect Y Axis Value Set Name Y Axis Coordinate Aspect Values Reportable Aspect X Axis Aspect X Axis Value Set X Axis Coordinate Aspect Values Reportable Aspect Values
  14. 14. Systems Data management tooling Reporting and analytics Regulator Duplication Coverage Consistency Accuracy completeness conformity 14 3. Measure and guarantee data quality Roles modelDR Trading systems Calculation Engine Reg Report needs (e.g. XBRL taxonomy) Spreadsheets Risk systems Data warehouses Report writer Data modelling Ontology management Data Architect Business Domain Expert Data Owner FIBO Cross DB DQ Queries Data quality metrics Meta data Analysis Definition of Good Data Quality Report Designs

'Whether upgrading data aggregation processes or improving system governance architecture, ModelDR solves the major problem that prevents financial institutions from earning earning more than their cost of capital; the increasing burden of regulation.’

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