Business Analytics Course

Onsite and Virtual Business Analytics Training in Sydney for Groups

Business Analytics Course

This business analytics course introduces you to an array of analytical and predictive analytics techniques that will enable you to extract meaning from data in a disciplined manner. This will lead to stronger, quantitative-based decision-making within your organisation.

Duration

1 Day

Prerequisites

None

Quick Glance

Organisations are placing increasing importance on evidence-based decision-making. The rise of terms like “predictive analytics” and “big data” reflect a greater reliance on analytics techniques across commercial, government and not-for-profit sectors.

This course will build your analytical skills in a diversity of contexts, generating confidence in how you analyse data no matter what the setting is. The analytical tools covered can be applied to data generated within operations, sales and marketing, finance, human resources and customer functions. We also offer training on Business Analytics for Large Data Sets.

Business Analytics Outline

Overview

This course will assist people interested in analytics from all backgrounds. You may be progressing towards management, be a new manager, or a manager with many years of experience across any of the following fields:
- Sales & marketing professionals
- Human Resource Managers
- Customer Experience Officers/Managers
- Supply chain/ Logistics/Operations Managers
- Finance Officers/Managers
- Business Managers
- Business Analysts
- General Managers
- Procurement Officers/Managers
- Risk managers
- WHS team members/Managers
- Program Officers/Managers
- Executive Officers.
The course aims to in:
- develop your analytical, critical thinking and advanced problem-solving skills within workplace settings
- provide a set of analytical and problem-solving tools to assist with decision-making
- make you feel at ease when extracting meaning from data sets and critically reviewing this data
- improve the accuracy of predictions, using Excel based predictive analytics tools
- assist you to utilise data effectively for achieving stronger work outcomes
- improve your evidence base in problem solving and managing functional areas.
Outcomes
By the end of this course, you should be able to:
- analyse data to assist with solving problems and decision-making in organisations
- critically review, then quantify the benefits and costs associated with an initiative
- develop a set of metrics for measuring performance within each functional area in an organisation
- make informed quantitative judgements
- utilise a basic set of predictive analytics tools.

Content

Customer analytics

Techniques for measuring user experience (UX) and customer experience (CX)
Ways of measuring customer satisfaction (including Net Promoter Score and associated benchmarks)
Design and administration of surveys
Analysis of survey data for advanced problem solving and generating solutions

Operations analytics

Determining probability of an undesired event
Evaluating the magnitude of an impact
Use of decision trees as part of the critical thinking process for solving problems
Using 5 Whys analysis and fishbone diagrams for determining the root cause of an event

Supply chain analytics

Use of value stream analysis for critically reviewing current practices and removing waste
Calculating defects per million opportunities (Six Sigma metric)
Setting of joint KPIs as part of a collaborative negotiation process

Sales & marketing analytics

Use of predictive analytics/regression equations for estimating customer demand
Establishing sales metrics for cortically reviewing performance and solving problems
Application of social media metrics, eg number of clicks
Calculating Return on Investment (ROI) = benefit/cost of initiatives

Human resource analytics

Use of KPIs/metrics for evaluating performance
Using staff attrition rates as a marker variable for being an employer of choice
Design and application of staff satisfaction ratings for critically appraising current workplace dynamics

Financial analytics

Forecasting techniques
Use of variances (actual – budget) for critically reviewing and solving problems
Designing, utilising and critically reviewing a dashboard of financial ratios for overcoming problems

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