CUSTOMISED CORPORATE CLASS

Data Analytics for Senior Management

🕐 1 Day

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What You'll learnRequirementsCertificateInstructor

As the digital revolution is caught on by every industry, the urgency to transform and mobilize the entire organization to advance in the use of data in the operation, and decision-making has been a crucial success factor of the business future.

As leaders in the organization, here’s some common questions that you may have about Data and Analytics:

  • What advantage and impact can data have on our business?
  • Are my people ready?
  • Is data science alone enough?
  • What is the investment needed to bring greatest impact to our organization?

Upon completion of this workshop, participants will be able to:

  • Understand the Data and Analytics landscape and use cases
  • Develop a sustainable strategy to advance the entire organization to greater maturity in Data Analytics adoption.
  • Develop Data Strategy that will help the organisation answer tomorrow’s questions.

What You'll learn

Introduction to Data Analytics (60 mins)

Overview of Data Science techniques, process, and technology

  • The big picture – Big Data and Data Analytics
  • Overview of Data Sciences and its techniques
  • Technology stack for Analytics
  • Analytics use cases

Self-assessment and Strategy development to Advancing Data Analytics in the organizations (120 mins)

The Readiness Health Check-up Wheel is used to see how organizations stack up in the readiness and maturity levels in terms of Vision, Operational and Culture, Analytics Capability, Data Strategy, Information Infrastructure and Governance and Management.

The outcome of this readiness check would provide organization with key insights and ability to develop a sustainable strategy to advance the entire organization to greater maturity in Data Analytics adoption.

 

Data Strategy Workshop (180 mins)

Identify and gather data will help answer tomorrow’s business questions or challenges.

Examples of Analytics and Data Strategy (60mins)

  • Customer Segmentation
  • Customer Flow Analysis
  • Customer Feedback and Sentiment Analysis

Workshop: Develop a Data Strategy specific to your own business question. (120 mins)

Machine Learning Models: Clustering and Decision Tree

Introduction to Basic Machine Learning

  • Clustering Techniques and its application
  • Decision Tree Techniques and its application

Workshop: Procedure & interpretation of Clustering and Decision Tree

Models comparison and selection criteria

Time Series Analysis and Forecasting (Decomposition method & ARIMA)

Introduction to Time Series Analysis and its application

  • Decomposition Method

Workshop: Decomposition method with MS Excel and interpretation of model

  • Box Jenkins Method (ARIMA & SARIMA)

Workshop: Procedure & interpretation of ARIMA with JMP

Analytics User Interface Design

Introduction to Data Storytelling

  • Alignment of reporting needs and choice of metrics and visualisation type

Workshop: UI Design for Dashboard, Diagnostics Analysis, Forecasting UI Design with Power BI

Data model blueprint development for UI enablement

  • Document of data required for UI enablement

Development data model blueprint for UI automation & enablement

Requirements

Business Analysts, Operation Analysts, Customer Intelligence, Market Intelligence, and Data Analysts.

None.

  • Participants must:
    • use their own computers to access Zoom class and download course materials
    • have the necessary access rights to install software applications and the appropriate libraries on their computers
    • be experienced in software installation and be able to follow instructions to install required software applications on their computer before class
    • have computers with the minimum technical specifications to be able to run software applications used in class
  • For increasing productivity in learning it is strongly recommended that participants have access to two screens to view the instructor’s presentation while using the software application displayed to reduce toggling back and forth.

None

Certificate

Participants will receive a Certificate of Completion from DNA Capitals after meeting a minimum attendance rate of 75% and are required to pass the assessment. 

Instructor

MS CATHERINE KHAW

Data & Analytics Enthusiast
Evangelist. Enabler. Educator.
TTAB Deputy General Secretary


Catherine is a passionate advocate for data and analytics literacy, and she strongly believes in the power of data to have a positive impact on businesses and organisations. Her mission is to uplift the data fluency of individuals and organisations, helping them harness the opportunities presented by digitisation and big data to improve their business impact.

In envisioning a world where individuals and organisations truly comprehend the impact and potential of data in their professional lives, Catherine emphasises the significance of effective data management and utilisation. It is crucial for individuals and organisations to learn to manage and leverage data without feeling overwhelmed, as she firmly believes that everyone should possess a fundamental understanding of data science and its management.

National University of Singapore – Bachelor of Business Administration (B.B.A.), Marketing/Marketing Management
City University of Hong Kong – Master of Arts (M.A.), Quantitative Methods for Business