Jun 2020

Business Analytics & Data Visualisation

Course Information

Start Date25 Jun 2020, Thursday
End Date26 Jun 2020, Friday
Time9am - 5pm
VenueOnline LIVE Stream via Zoom
Fee$990 (excluding GST)
ContactRoshini | 6720 3333 | training.aventis@gmail.com
Register Now
Get Group Quote
LIVE Stream


According to the latest Bloomberg survey, business analytics has been effective in decision making for 3 out of 4 enterprises. Some of the benefits of applying business analytics are increased profitability, reduced costs, quicker decision-making, and other critical performance improvements. This 2-day program aims to provide you with an understanding of how the scientific use of data analysis and data visualisation can lead to improved decision making and problem-solving. It is an introductory course to probabilistic and statistical concepts. By the end of this course, you will be equipped with relevant skills to make sense of your data, present clear evidence of your findings, and tell engaging stories all through data visualisation. Through a combination of seminar and case studies, you will also be equipped with the knowledge on data preparation and cleansing, effective data storytelling through visual analytics and experience hands-on practice of the visualisation tool, Tableau. This course covers an assessment element.

Key Takeaways
  • Convert strategies into measurable Key Performance Indicators (KPIs) for performance tracking
  • Learn how to use data analytics for performance measurement
  • Understand the benefits of data analytics and some basic operational examples of descriptive, predictive, and prescriptive modelling
  • Learn how to visualise the data intelligence derived
  • Explore how actual behaviours can be transformed into visual data analytics for performance measurement
  • Build the capability to use scientific methods that enable critical rationalisation between choices for equitable, well balanced, and informed management decision making
Who Should Attend
  • Executives, Team Leaders, Decision Makers, and Project Leaders who are involved in report writing and presentation
  • Accounting and finance professionals seeking to improve their decision making and presentation of quantitative and financial data
  • Business Owners and Leaders seeking to better make sense of the numbers and data presented to them
  • Sales and marketing professionals managing high-value account selling
Business Strategist & Award-Winning CFO: Nina Tan
Nina is a Fellow Chartered Accountant in ISCA, ACCA and CPA (Aust). She has an MBA and completed the International Management Program with Stanford-NUS. She was also awarded the best Art of War CFO by Sun Tzu Art of War Institute in 2011.

Using proven techniques, Nina has been highly successful in garnering equity investors, management, and shareholders support to actualise international investment projects such as the consolidation between SingTel and ST Telemedia’s trunk radio business, merger of Sunpage/ST Mobile Data/ST Trunk Radio, Joint Venture with China Unicom, and her own start-up specialty chemical companies in US/Asia Pacific. Nina is acknowledged by many MNC and Fortune 500 corporate trainees for her lively programs in Beijing, Malaysia, Shanghai, Singapore and the US.

“Nina connects easily with us by applying her practical experience to the topics taught. She is highly effective in her teaching methods and system-based approach.”
Angie Lim, CFO Asia Pacific at Jones Lang LaSalle

“Using her practical International experience gained from proven successful ventures as an entrepreneur, Nina creates courses that are highly practical, not just theoretical.”
Jaqueline Chew Regional Supply Chain Manager, BD Healthcare

Program Outline
Business Analytics

Using case studies, you will turn datasets into business insights using fundamental statistical analysis with the following steps:

  • Identify key strategic business goals
  • Reverse engineer business goals identified into key performance indicators needed to track the progress of attaining such strategic goals
  • Structure data dimensions in preparation for data collection
  • Transform and integrate data into business insights for impactful decision making by applying basis descriptive statistics to business problems; in a flowing manner:
    • Form and test hypotheses for informed decision making
    • Understanding trends, detecting outliers
    • Differentiate between categorical and continuous data
    • Craft survey questions to collect relevant qualitative data for analysis
    • Associating relationships between data variables with correlation and t tests for the mean
    • Derive accurate results with confidence intervals
    • Perform ANOVA and regression analysis using Excel and interpret the output

Data Visualisation

  • Convert analytics into storyboard with data visualisation using Tableau business analytics software to perform the following functions:
  • Storyboard insights into a dashboard presentation
  • Facilitate quick understanding of what’s happening in the data by visualising where issues lie and addressing it with the following steps
  • Build charts and dashboards to translate complex information into a simple to understand knowledge
  • Use of Tableau dashboards as a performance monitoring tool and facilitate reallocation of resources to optimise business impact
  • Enable forecasting of trends
  • Gain insights into the magnitude of data dimension
  • Creation of geographical heat maps
  • Create impact by Interplaying with box plots, size, colour and data filters