Joined-Up Regulation

Joined-Up Regulation



A one-day workshop with eLearning

New regulations often require major overhauls of processes, systems, governance and accountabilities. The EU's General Data Protection Regulation is a case in point which fundamentally changes the management of personal data.

Data lies at the heart of an organisation. Processes and decision taking depend on good data so careful planning and competent execution is needed when making changes. A regulation by regulation approach is inefficient, costly and increases risk.

A better approach is to have a clear model of the organisation's data and use that as the basis for assessing the impact of relevant regulations and creating a meaningful road map for change.

This course describes a practical high level data model, a review of several significant regulations and an outline of creating a roadmap for change.

This module is part of the EDMworks Data Management Agenda for Privacy

Regulation

Key examples of regulatory reform:

- Privacy & Security: GDPR, NISD and examples from other regions

- Trading: EMIR/DFA/Equivalents; MiFID II/ MAR; MAD; AIFMD

- Risk: Basell III/ CRD IV; Fund reporting; Solvency II, BCBC239, FRTB

- Financial Crime: FATCA, AMLD IV, Bribery Act, Sanctions regimes

- Structural: Volker, Vickers, Benchmarks, CRAs, Accounting standards

G20 regulator examples

- North America: SEC, CFTC, FED, OFR, CSA

- EU Member states: E.g., PRA, FCA, BoE; BaFin, Bundesbank; AMF, BdF; AFM, DnB

- Europe: ESMA, EBA, EIOPA, ECB, ICO, EDPB

- Asia: ASIC, MAS, HKMA, JFSA

- International: BCBS, IOSCO, FSB, CPSS

Regulatory Data Model and Analysis Framework

- The key data subject areas/data sets

- Practical taxonomies for planning purposes

- Avoiding excessive detail

- Example data templates for impact analysis purposes

- Physical implementation and data inventory

Governance

- What does a well governed organisation look like?

- Business process governance

- Data set governance

- Regulatory governance

- Joining it all up

Analysis Process

- Establish business data needs

- Regulatory Data: Identify business area/functional impact

- BAU & CTB programs: Identify data impact

- Assess current systems and data

- Create and maintain inventory of data & interfaces

- Classify inventory against Analysis Framework

- Consolidate data availability

- Create gap analysis by data area

- Assess organisational capability

- Envision the target architecture

- Build on strengths and address weaknesses

Road Map Creation

- Identify key business and data work programmes

- Design and finance work programmes

- Achieve stakeholder sign-off and commitment

Last modified: Monday, 26 September 2016, 2:10 PM