CdRDM v1

Joined-up Regulation

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.

Our Joined-up Regulation course will:

  • Explain key Privacy, Trading, Risk, Financial Crime and Structural reform objectives. 
  • Provide an enterprise wide Regulatory Data Model as an analytical framework enabling you to digest regulation in a meaningful way. 
  • Describe how to use the framework to analyse impact on systems/data and write a roadmap.
  • Provide insights into the G20 implementation process enabling you to build realistic timelines avoiding unnecessary spend on external reports and internal reviews.

Business benefits will include:

  • Consistent message, language and methodology delivered across divisional groups
  • Alignment of key business and data management roadmaps
  • Ensuring expectations are met in the right way
  • Help to prevent expensive re-works through adherence to best practice
  • Articulate cogent plans to your management
  • Leverage a community of expert practitioners to share best practices and insights
  • Obtain greater levels of productivity and loyalty from existing employees

Course Structure:

One day course, highly interactive with case study exercises and feedback

The course includes two eLearning support modules covering the implementation of two different types of regulation:

  • General Data Protection Regulation:  "GDPR Key Facts and Impacts" which is an example of the new regime of data protection regulations
  • BCBS 239: Principles for Risk Data Aggregation and Risk Reporting which deals with end to end structural improvements to data management.

Costs & Locations

The course runs in London on 14th November 2016

The cost for the course including the two eLearning packages (combined value approx £200) is GBP650 (plus VAT as applicable)

Course Contents
GOTO COURSE (This is a hyperlink to the actual course)

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 & ROAD MAP CREATION
  • 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
Create the road map
  • Identify key business & data work programmes
  • Design and finance work programmes
  • Achieve stakeholder sign-off and commitment
Last modified: Friday, 19 August 2016, 9:45 PM