KPIs, performance measures, benchmarks, balanced scorecards, there’s no shortage of feedback tools that can be employed in today’s organizations: But how much and what should be included?
Some aspects of the enterprise are generic and cross all market sectors and industries, e.g., revenue streams and cashflow; some are specific, e.g., ore processing tailings measurement in mining. Simply providing masses of facts and data is not helpful.
Overview
KPIs, performance measures, benchmarks and balanced scorecards are some of the feedback tools that can be employed in today’s organisations, but how much and what should be included to provide in-depth and useful insights?
Business Analytics makes use of data and statistical methods to develop new insights and understanding of business performance such as:
Why was this the outcome?
What are the latest trends in the industry?
What we can do to prevent negative impacts or take advantage (if favourable) of these trends?
Participants will learn why Business Analytics is important and the main types of Business Analytics methods, i.e., Descriptive, Predictive, Prescriptive and Decisive, how they work and the benefits that can be derived from their usage.
Explore tools that can be employed to support decision making and the Business Analytics process including, Data Mining, Business Process Discovery; Customer Dynamics.
Key Topics Covered:
- Understand business analytics and its application to managing business performance [Sales analytics, Customer service analytics, Financial analytics, Pricing analytics].
- Apply business analytics and methodologies to financial and business data [Risk & Credit Map analytics, Transportation & Logistics analytics].
- Explore data to find new patterns and relationships [Marketing analytics, Behavioural analytics, Communications & reporting analytics].
- Understanding results through statistical and quantitative analysis.
- Decision testing and forecasting [Skills & Expertise analytics, Supply Chain analytics].
This workshop is part of the Finance For the Future Program and is eligible for funding support of more than 40%* off the workshop fees. Eligibility conditions apply.
Enter code FUTURE18 at checkout. To apply the promotional code, you must complete separate payment for each workshop.
*Discount based on member price
Trainer Profile:
Malcolm Furber
Malcolm has been in consulting for the last 11 years where he has predominantly been involved in business improvement assignments in both the private and public sector. This has included a two-year SAP business intelligence project at the South African Revenue Services, a 15-month SAP re-implementation assignment at Eskom, Finance transformation at Standard bank and a 10-week assignment in Switzerland for a leading FMCG company where he undertook a finance function benchmarking exercise with 4 other Global FMCG companies.
He is a regular speaker globally on Integrated Business Planning and Performance Management, Predictive Analytics using Big Data, Supply Chain Management and Activity Based Costing much of which is based on personal case studies rather than pure theory.
Objectives
- Explore data to find new patterns and relationships
- Explain why a certain result occurred through statistical quantitative analysis
- Experiment to test previous decisions
- Forecast future results with greater levels of reliability.
Audience
This workshop is suitable for Directors and Executives with responsibility of understanding core business data, Accountants, Controllers, Manager and anyone who is interested to help drive the business forward.
Classroom
77537248