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.
- 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.
- 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
- Obtain greater levels of productivity and loyalty from existing employees
One eLearning course segmented into three modules. The contents of the three modules are described in Course Contents.
- A one day seminar/workshop, highly interactive with case study exercises and feedback
- An eLearning self-paced module on the General Data Protection Regulation
- An eLearning module on BCBS 239, Risk data management regulation and governance practices
The workshop is a full day from 9-5pm.
Each eLearning module has an approximate duration of 1 hour.
This course contains an on-line certifications for the eLearning components.
Delegates can take the test at any time. One resit is allowed.
The test consists of multiple choice, matching pair and true/false questions. Test questions are randomised.
The test should take approximately 15 minutes. There is a time limit of 30 minutes.
The delegate must answer all questions correctly.
There are self-assessments in each module that you can take as many times as you like.
This is confidential and does not form part of your test score.
The course modules and certification test are globally available without restriction.
They can be accessed 24/7.
The cost of the course for one delegate is GBP 650 includes the workshop and two eLearning courses (approx value GBP 200.00) (plus VAT where applicable).
If you would like to pay against an invoice then please email us with Purchase Order details at firstname.lastname@example.org.
If you are interested in making a bulk corporate order, please email email@example.com for more information.
- The eLearning Courses
- Recognised certificates
- Access to the workshop
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
- 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
- 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
- What does a well governed organisation look like?
- Business process governance
- Data set governance
- Regulatory governance
- Joining it all up
- 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
- Identify key business and data work programmes
- Design and finance work programmes
- Achieve stakeholder sign-off and commitment
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