Regulatory Update: 2019

A regulatory look forward to 2019 and the impact to Financial Services:

  • Brexit
  • MiFID II
  • Benchmark Reform
  • MAR
  • Derivatives Market Reform
  • Financial Crime
  • Competition
  • Governance Risk & SMCR
  • Operational Resilience
  • FinTech

What is Continuous Improvement?

An introduction to continuous improvement

This module introduces the critical role of Continuous Improvement in enabling firms to survive and thrive in ever more challenging regulatory and competitive environments.

We focus on:

  • Defining CI
  • Incremental v's Transformational
  • A look back at the history and evolution
  • The key components that underpin CI
  • CI models
  • Lean/Six Sigma/TQM/ISO 9000

Continuous Improvement: Define

This module is the first of five that introduce learners to the DMAIC approach to process improvement – an essential element of Continuous Improvement.

  • Starting with an overview of how process improvement can support and drive strategy deployment, learners will discover, using topical examples, how to identify where improvements might be made and prioritise to ensure maximum leverage on improvement spend
  • Attention then turns to the fundamentals of chartering a project and ensuring improvement activity is led by sound evidence

Continuous Improvement: Measure

This module introduces the second stage of DMAIC – measure – focusing on the vital techniques required to clarify the situation and quantify the problem.

  • Concentrating heavily on the process of achieving clarity and the key tools to support the process, learners will come away from this module with a methodology that can be applied in any number of situations.
  • Covers the different types of process mapping and tools such as Failure Modes and Effect Analysis using examples to illustrate the value of achieving a clear understanding of the ‘as is’ for both process improvement initiatives and more general business application.

Continuous Improvement: Analyse

This module takes the learner further into the discipline of using data to enable effective decision-making.

  • This course explores some of the tools used to drill down further into identified problems including hypothesis testing and regression analysis
  • As the title suggests, learners will encounter some basic and more advanced analytical tools in the module as the process improvement project moves into the critical Analyse phase
  • Here learners will understand how to test assumptions and hypotheses in order to ensure robust data, not human judgement alone, guides decisions on where to focus improvement activity and the impact that can be expecte

Continuous Improvement: Improve

In this module, learners will encounter some of the ‘sexier’ tools and approaches available to the process improvement professional.

In the context of real-life examples, learners will understand how and when to deploy standalone improvement tools and activities such as 5S, Kaizen, Poka-Yoke and Heijunka to support the design and implementation of effective counter measure.

Equipped with this understanding, improvement activity can be approached from a position of surety that time and resources are spent where they will matter.