Optimize Your Business through Data Analytics

Customized Training Solutions Pte Ltd

Introduction
Data analytics is the science of analysing raw data in order to draw conclusions. Many of the techniques and processes of data

Hotel Grand Pacific

Who Is This For? Business Owners &amp; Decision MakersThis workshop will be valuable to leaders who is faced with quantitative decision making.Includes: SME Business Owners, Advisors, Consultants, Freelancers, &amp; Senior Leader Accounting &amp; Finance ProfessionalsThis workshop will benefit leaders who are faced with model building, statistical and data analysis and more.Includes: Accounting and Finance Profesionals, Tax Accountants and Budget Accountants Corporate LeadersThis workshop will be valuable to leaders who is faced with financial and non financial reporting, budgeting and planningDirectors/Heads/Managers of Strategy, Business Development, Sales &amp; Marketing, Project Managent, Risk Management, Human Resources

Introduction: The major emphasis of this workshop is on the practical application and interactive learning relating to data management and data analysis. Throughout the workshop, delegates will be exposed to and work with real world data and real world case studies. The workshop aims to equip delegates with robust data skills that can be transferred straight to their working environment and that will significantly impact their strategic planning and overall data related effectiveness. Objectives: By the end of the workshop, delegates will be able to:​✅ Appreciate the nature and meaning of data management✅ Applying the concepts of data management​✅ Review data collection and storage​✅ Apply aspects of data analysis and interpretation✅ Examine aspects of data analysis techniques✅ Take Data Driven Decisions✅ Leverage Data for Customer Relationship Management✅ Solve problems in customer data and CRM systems✅ Evaluate data ethics and legal compliance✅ Apply advanced topics and implementation✅ Assess aspects of advanced data analytics✅ Implement a data management strategy Training Methodology: Each session will comprise a single element of the course in its own right. Every session will begin with the trainer introducing the topic or subject and then developing it with reference to specific data sets and scenarios appropriate to that subject. In each session, delegates will apply and evaluate the work that they have undertaken. It is preferable for delegates to have Microsoft Office 365 installed and operational on their laptops. Failing that, Office 2021 is a good substitute earlier versions of Office may mean that delegates may not be able to appreciate all aspects of the course in full. ***Request for full agenda at enquiries@ctsolutionsglobal.com

Duncan combines his extensive academic and training experience with significant manufacturing and commercial work. In addition to working as a teacher and trainer, Duncan has experience of working in a wide variety of settings, ranging from working as a management accountant in process industries in the UK to product cost consulting in several industries in Eastern Europe and the oil and gas industry in the Middle East. Duncan has worked in and around a number of oil and gas-based companies over recent years.​He has published books, articles and case studies on Excel, Data Analytics and Financial Modelling. His latest books Introduction to Power Pivot and Introduction to Power BI for Desktop published by Bookboon and Amazon​Countries of Work Experience: Bosnia and Herzegovina, Kyrgyzstan, Kazakhstan, Uzbekistan, Romania, United Kingdom, Afghanistan, Dubai, Abu Dhabi, Kuwait, Oman, Saudi Arabia, Switzerland, Hungary, Thailand, Singapore, Vietnam, Philippines, Malaysia, Pakistan, Holland, Sudan, Albania, Qatar, Mexico, Angola​Significant Areas of Expertise: data analytics, cost and management accounting, financial accounting and bookkeeping, financial reporting under IFRS, financial modelling, spread sheet modelling, and product cost modelling.

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Optimize Your Business through Data Analytics

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Optimize Your Business through Data Analytics

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