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Data Analytics for Business Leaders - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
This course equips senior professionals with the ability to leverage data analytics for strategic decision-making. Delegates will explore fundamental analytical techniques, interpret key business metrics, and learn how to drive organisational performance through data-driven insights. With a focus on leadership applications, this programme ensures executives can integrate analytics into business strategy effectively.

Course Outcomes:
Understand the role of data analytics in strategic business decisions
Develop a data-driven approach to leadership and problem-solving
Interpret and apply key performance indicators (KPIs) effectively
Improve forecasting accuracy using predictive analytics
Enhance decision-making with real-time data visualisation tools
Align data insights with organisational objectives
Understand regulatory and ethical considerations in data analytics
Foster a data-driven culture within the organisation
Use storytelling techniques to communicate insights effectively
Identify opportunities for digital transformation using analytics

Who Should Attend:
Managers and functional leaders from large private and public sector organizations seeking to enhance strategic decision-making through data analytics. Past delegates have included:
\n
Business Analyst
Data Insights Manager
Operations Team Lead
Marketing Analytics Specialist
Project Manager

Course Topics:
Foundations of Data Analytics

Introduction to data analytics and its business impact
Key data types and sources within organisations
Fundamentals of statistical analysis
Overview of analytics tools and technologies

Data Visualisation and Communication

Principles of effective data storytelling
Designing impactful visual dashboards
Tools for data visualisation ( Power BI, Tableau)
Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

Introduction to predictive modelling techniques
Business forecasting using time series analysis
Understanding machine learning in forecasting
Case studies on predictive analytics in decision-making

Data-Driven Business Strategy

Using analytics to shape business strategy
Identifying key business metrics and KPIs
Scenario planning and decision support systems
Data governance and risk management

Leading a Data-Driven Organisation

Developing a data-driven culture
Overcoming organisational resistance to data adoption
Ethical considerations in data-driven decision-making
Case studies on data-driven leadership

Cost: 4850 GBP

Duration: 5 Days

Cybersecurity Analytics and Risk Management - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
This course focuses on the application of data analytics in cybersecurity and risk management. Delegates will learn how to use analytics to detect threats, assess vulnerabilities, and develop proactive security strategies to protect organisational assets.

Course Outcomes:
Apply data analytics for real-time threat detection
Strengthen cybersecurity frameworks with AI-driven insights
Identify patterns of fraudulent and malicious activities
Use predictive models to anticipate security breaches
Implement data governance and compliance measures
Improve incident response through automated analytics
Analyse cyber risk exposure and mitigation strategies
Enhance regulatory reporting and compliance monitoring
Strengthen cloud security with data analytics
Develop an integrated risk management framework

Who Should Attend:
Cybersecurity and IT risk professionals responsible for threat detection, risk assessment, and implementing data-driven security strategies. Past delegates have included:
\n
Cyber Threat Analyst
IT Risk and Compliance Officer
Security Operations Center (SOC) Analyst
Data Protection Specialist
Information Security Consultant

Course Topics:
Foundations of Data Analytics

Introduction to data analytics and its business impact
Key data types and sources within organisations
Fundamentals of statistical analysis
Overview of analytics tools and technologies

Data Visualisation and Communication

Principles of effective data storytelling
Designing impactful visual dashboards
Tools for data visualisation ( Power BI, Tableau)
Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

Introduction to predictive modelling techniques
Business forecasting using time series analysis
Understanding machine learning in forecasting
Case studies on predictive analytics in decision-making

Cyber Threat Intelligence and Data Analytics

AI-driven threat detection and response
Data analytics in fraud detection
Behavioural analytics for insider threat detection
Case studies on cybersecurity breaches

Risk Analytics and Compliance Management

Data-driven risk assessment frameworks
Compliance and regulatory analytics (GDPR, ISO 27001)
Incident response automation with analytics
Risk mitigation strategies using predictive modelling

Cost: 4850 GBP

Duration: 5 Days

Customer and Marketing Analytics for Business Growth - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
This course is designed for marketing, sales, and customer experience professionals who want to leverage data analytics to enhance customer engagement, optimise campaigns, and drive business growth. Delegates will learn advanced customer segmentation, behavioural analytics, and ROI measurement techniques.

Course Outcomes:
Use data analytics to improve customer acquisition and retention
Develop data-driven marketing campaigns
Implement advanced customer segmentation and targeting
Measure marketing ROI using analytics tools
Enhance customer experience with predictive modelling
Apply sentiment analysis and social media analytics
Optimise pricing strategies through data insights
Automate personalised marketing with AI
Use A/B testing to refine marketing strategies
Develop dashboards for real-time marketing performance monitoring

Who Should Attend:
Marketing, sales, and customer experience professionals aiming to use data analytics for campaign optimization and business growth. Past delegates have included:
\n
Marketing Data Analyst
CRM Campaign Manager
Digital Marketing Specialist
Customer Insights Analyst

Course Topics:
Foundations of Data Analytics

Introduction to data analytics and its business impact
Key data types and sources within organisations
Fundamentals of statistical analysis
Overview of analytics tools and technologies

Data Visualisation and Communication

Principles of effective data storytelling
Designing impactful visual dashboards
Tools for data visualisation ( Power BI, Tableau)
Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

Introduction to predictive modelling techniques
Business forecasting using time series analysis
Understanding machine learning in forecasting
Case studies on predictive analytics in decision-making

Customer Behaviour and Segmentation Analytics

Data-driven customer profiling and segmentation
Predicting customer churn and retention strategies
Sentiment analysis and text analytics in marketing
Case studies on customer analytics success

Marketing Performance Optimisation

A/B testing and marketing experimentation
ROI measurement using data-driven insights
Personalisation and AI-driven marketing automation
Real-time analytics for campaign optimisation

Cost: 4850 GBP

Duration: 5 Days

Big Data Analytics for Digital Transformation - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
This course is designed for professionals leading digital transformation initiatives who need to harness big data analytics to drive innovation and competitive advantage. Delegates will learn how to extract insights from vast datasets, apply AI-driven analytics, and integrate big data into business strategy.

Course Outcomes:
Understand the role of big data in digital transformation
Integrate big data analytics into business models
Utilise cloud computing and big data architectures
Leverage AI and machine learning for advanced analytics
Implement real-time data analytics for agile decision-making
Enhance customer experience through data-driven insights
Optimise operations using big data automation
Improve cybersecurity with data analytics tools
Drive innovation through data-led experimentation
Develop scalable data governance frameworks

Who Should Attend:
Mid-level IT and business professionals driving digital transformation through big data and analytics for innovation and competitive advantage. Past delegates have included:
\n
Digital Transformation Project Manager
Business Intelligence Analyst
IT Strategy Consultant
Data Engineering Lead
Innovation Program Manager

Course Topics:
Foundations of Data Analytics

Introduction to data analytics and its business impact
Key data types and sources within organisations
Fundamentals of statistical analysis
Overview of analytics tools and technologies

Data Visualisation and Communication

Principles of effective data storytelling
Designing impactful visual dashboards
Tools for data visualisation ( Power BI, Tableau)
Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

Introduction to predictive modelling techniques
Business forecasting using time series analysis
Understanding machine learning in forecasting
Case studies on predictive analytics in decision-making

Big Data and AI in Digital Transformation

Fundamentals of big data technologies (Hadoop, Spark)
AI and machine learning in big data analytics
Cloud-based data platforms and architectures
Real-world applications of big data in business

Implementing Data-Driven Innovation

Creating a data-driven innovation culture
Digital product development with analytics
Data governance and ethical AI considerations
Case studies on digital transformation success

Cost: 4850 GBP

Duration: 5 Days

Advanced Data Analytics for Financial Services - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
This course is tailored for professionals in the financial sector who need to harness data analytics for risk management, fraud detection, and strategic financial planning. Delegates will gain a deep understanding of financial modelling, regulatory compliance, and AI-driven insights for improved decision-making.

Course Outcomes:
Use analytics to enhance financial risk management
Detect fraud and anomalies using advanced data techniques
Apply predictive models to market and credit risk analysis
Improve investment strategies with data-driven insights
Ensure regulatory compliance using data monitoring tools
Strengthen financial forecasting and scenario modelling
Optimise revenue streams through customer analytics
Automate financial decision-making with AI-driven insights
Enhance reporting and financial dashboard creation
mprove capital allocation using data science techniques

Who Should Attend:
Finance professionals and middle managers in the financial sector seeking to leverage data analytics for risk management, fraud detection, and strategic planning. Past delegates have included:
\n
Financial Risk Analyst
Compliance Data Specialist
Investment Operations Manager
Credit Risk Analyst
Treasury Data Analyst

Course Topics:
Foundations of Data Analytics

Introduction to data analytics and its business impact
Key data types and sources within organisations
Fundamentals of statistical analysis
Overview of analytics tools and technologies

Data Visualisation and Communication

Principles of effective data storytelling
Designing impactful visual dashboards
Tools for data visualisation ( Power BI, Tableau)
Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

Introduction to predictive modelling techniques
Business forecasting using time series analysis
Understanding machine learning in forecasting
Case studies on predictive analytics in decision-making

Data Analytics in Financial Risk Management

Credit scoring and risk modelling
Fraud detection using AI and machine learning
Stress testing and scenario analysis
Regulatory compliance through data analytics

Financial Modelling and Investment Analytics

Predictive analytics in investment decisions
Algorithmic trading and quantitative modelling
Customer segmentation and revenue optimisation
Data-driven portfolio management

Cost: 4850 GBP

Duration: 5 Days

Strategic Information Technology - Level 2 - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
This intermediate course builds on IT strategy fundamentals, focusing on integrating IT systems with corporate strategy, governance, and the measurement of IT investments strategic impact.

Course Outcomes:
Appreciate the advantages and risks of corporate and internet computing, in achieving financial, efficiency and other objectives
Explain the costs, economics and opportunities provided by the corporate computing systems, the internet, cloud computing, open standards and social media
Create plans to introduce efficient enterprise computing systems, cloud computing and Software as a Service (SaaS)
Create plans for the application and management of ERP, CRM and IT projects using agile project management to achieve efficient and reliable and effective performance

Who Should Attend:
Senior financial executives, managers and professionals, who need to understand the impact and opportunities provided by advances in IT, the internet, social media, cloud and open standards, in order to inform the board of emerging IT risks and opportunities
Financial executives, managers and professionals, responsible for budgets and projects
Senior company executives who are in charge of change management, ERP, CRM and IT projects

Course Topics:
IT Strategy

Advances in IT and developments in corporate computing
IT applications security and architecture
Issues in formulating IT strategy to meet organisational needs
Current themes and trends open standards and the new digital environment
The IT strategy framework
Where and how to start
Common mistakes and SWOT

Cloud computing

The economic case for cloud computing
The opportunities from cloud computing: SaaS IaaS PaaS etc
Cloud issues: security confidentiality performance limitations (big data and content)
Purchasing and procurement of cloud
Cloud as an opportunity to upgrade and to rethink data and processes
What is SOA and should I care?

Enterprise Resource Planning (ERP)

ERP and workflow history and economic
Functionality and vendor analysis
ERP pitfalls
ERP and open standards
Common mistakes and SWOT

Customer Relationship Management (CRM)

Second generation CRM and functionality
Selecting and specifying your CRM on-premise v cloud
Marketing analysis and campaigns 360 relationships and social media
The application of CRM in public and private sector (sales v. citizen interactions)
Common mistakes and SWOT

Management Information and Financial Systems

Selecting and specifying your financial system including appraisal against IFRS
Managing a large organisation meeting board management and regulatory needs
The impact of cloud and big data issues
Data efficiency utilisation and control avoiding data silos
Business Intelligence and an integrated view of the organisation

Cost: 4250 GBP

Duration: 5 Days

Web Analytics and Data-Driven Decision Making - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
Unlock the power of data with our Data-Driven Decision Making course. Learn to harness data analysis tools and techniques to drive strategic decisions, enhance business performance, and gain a competitive edge. Through hands-on exercises and real-world case studies, youll develop skills to interpret data effectively, make informed decisions, and achieve measurable results. Ideal for professionals aiming to leverage data for impactful outcomes.

Course Outcomes:
Upon completion of this course, participants will:

Develop a solid foundation in web analytics, including terminology, key metrics, and tools used for data collection and analysis
Learn to analyse web data effectively, extract actionable insights, and translate data into strategic decisions that benefit the organisation
Understand the principles of CRO, conduct A/B testing, and implement strategies to improve website conversions and user experiences
Gain proficiency in advanced analytics techniques, dashboards, and reporting tools to monitor performance and communicate findings to stakeholders

Who Should Attend:
This course is tailored for individuals in management roles within training and consultancy firms who want to gain expertise in web analytics and use data-driven insights to make informed decisions that drive business success.

Course Topics:
Introduction to Web Analytics

Understanding the role of web analytics
Key web analytics terminology
Types of data collected
Overview of web analytics tools

Data Collection and Analysis

Setting up web analytics tools (, Google Analytics)
Data collection and tracking best practices
Data segmentation and filtering
Analysing website traffic and user behaviour

Data-Driven Decision Making

Leveraging data for strategic decision-making
Identifying actionable insights
Building a data-driven culture within organisations
Ethical considerations in data usage

Conversion Rate Optimization (CRO)

principles of CRO and its importance
A/B testing and experimentation
Implementing CRO strategies
Monitoring and measuring CRO success

Advanced Analytics and Reporting

Advanced analytics techniques (, cohort analysis funnel analysis)
Creating custom reports and dashboards
Communicating data insights to stakeholders
Continuous improvement through data analysis

Cost: 4250 GBP

Duration: 5 Days

Strategic Information Technology - Level 1 - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:12 +04

Course Introduction:
Kickstart your strategic IT knowledge with this course, focusing on the foundational aspects of IT within a business context, including basic IT strategy and management principles.

Course Outcomes:
Appreciate the advantages and risks of corporate and internet computing, in achieving financial, efficiency and other objectives
Explain the costs, economics and opportunities provided by the corporate computing systems, the internet, cloud computing, open standards and social media
Create plans for the application and management of ERP, CRM and IT projects using agile project management to achieve efficient and reliable and effective performance

Who Should Attend:
Senior managers, executives and professionals, who need to understand the impact and opportunities arising from advances in IT, the internet, social media, cloud and open standards, in order to inform the board of emerging IT risks and opportunities
Financial executives, managers and professionals, who are responsible for budgets and projects and must know the costs, economics, potential impact of computing and how to introduce computing projects
Senior company executives who are in charge of change management, ERP, CRM and IT projects
Those responsible for delivering IT and IT projects

Course Topics:
IT Strategy

Advances in IT and developments in corporate computing
IT applications security and architecture
Issues in formulating IT strategy to meet organisational needs
Current themes and trends open standards and the new digital environment
The IT strategy framework
Where and how to start
Common mistakes and SWOT

Project management

Large versus small projects
Agile versus other methodologies: SSADM and Prince II
Big project case studies and research findings
Procurement and contract management: life cycle procurement
IT benchmarking

Agile project management

History and successes
Agile practices
Agile disciplines and fulfilling control and reporting needs
Setting up the agile team

Advanced Business Intelligence

Information and intelligence to run an organisation: data driven models and budgetary control; decision support systems; risk modelling and data-mining
Further techniques to define information: Critical Success Factors KPIs Balanced scorecard and benchmarks
Specialist needs: combating money laundering; fraudulent trading etc
Communicating with the Boardroom: BI dashboards and BI usage
The future: using BI to deliver policies

Using the web and social media for competitive gain

BI and data-mining analysis of marketing and selling data
Pro-active use of social media Facebook viral campaigns community groups
Analysis of tweets and social media
Dealing with big data and data discovery

Cost: 4250 GBP

Duration: 5 Days

Data-Driven Decision Making in Government - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:11 +04

Course Introduction:
Designed for public sector professionals, this course focuses on leveraging data analytics to improve policy-making, public service delivery, and governance. Delegates will explore real-world case studies and gain hands-on experience with data-driven decision-making frameworks.

Course Outcomes:
Use data analytics to improve policy decisions
Enhance public service delivery with data insights
Apply predictive models for economic and social planning
Improve regulatory compliance using data monitoring
Develop evidence-based governance strategies
Communicate insights effectively to policymakers
Strengthen inter-agency data collaboration
Optimise budget planning and resource allocation
Implement AI-driven public service improvements
Ensure data security and ethical governance

Who Should Attend:
Public sector managers and analysts aiming to enhance policy-making and service delivery through data-driven decision-making frameworks. Past delegates have included:
\n
Policy Data Analyst
Public Service Operations Manager
Research and Planning Officer
Government Program Analyst
Budget and Resource Planner

Course Topics:
Foundations of Data Analytics

Introduction to data analytics and its business impact
Key data types and sources within organisations
Fundamentals of statistical analysis
Overview of analytics tools and technologies

Data Visualisation and Communication

Principles of effective data storytelling
Designing impactful visual dashboards
Tools for data visualisation ( Power BI, Tableau)
Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

Introduction to predictive modelling techniques
Business forecasting using time series analysis
Understanding machine learning in forecasting
Case studies on predictive analytics in decision-making

Data Analytics for Public Policy

Data-driven policy formulation
Impact analysis and performance measurement
Economic modelling and scenario planning
Public sector case studies

Smart Governance and Digital Transformation

AI and machine learning in government
Citizen data privacy and ethical considerations
Digital transformation strategies in the public sector
Case studies on data-driven governance

Cost: 4850 GBP

Duration: 5 Days

Big Data and Advanced Analytics applications in Industry - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:11 +04

Course Introduction:
Discover how blockchain technology can revolutionise institutional and industry operations. This course provides a comprehensive understanding of blockchain applications, strategic integration, and risk management, enabling you to leverage this disruptive technology for innovation and efficiency in your organisation.

Course Outcomes:
Equip participants with a solid foundation in big data and analytics concepts
Enable participants to identify and collect relevant data sources for analysis
Teach advanced analytics techniques and tools for extracting meaningful insights
Empower participants to apply data-driven decision-making in their respective industries

Who Should Attend:
This executive education course is designed to provide professionals in the field of management and operations with the essential knowledge and skills required to harness the power of big data and advanced analytics in various industry sectors. Participants will gain a comprehensive understanding of how data-driven insights can drive strategic decision-making and enhance operational efficiency. This course is ideal for Directors of Operations, managers, and professionals in management roles in various industries, including consultancy firms. It is suitable for individuals who are looking to enhance their decision-making capabilities through the use of big data and advanced analytics.

Course Topics:
Introduction to Big Data and Analytics

Understanding the fundamentals of big data and analytics
Exploring real-world use cases and success stories
Introduction to data collection and storage techniques
Ethical considerations in data handling

Data Acquisition and Preparation

Data sourcing and integration strategies
Data cleaning transformation and preprocessing
Handling structured and unstructured data
Data quality assessment and assurance

Advanced Analytics Techniques

Statistical analysis and hypothesis testing
Predictive modeling and machine learning algorithms
Data visualization and interpretation
Case studies in advanced analytics applications

Implementing Analytics in Operations

Integrating analytics into business operations
Building a data-driven culture within an organisation
Monitoring and optimizing operational processes
Risk management and compliance in analytics

Strategic Decision-Making with Big Data

Strategic planning and goal alignment
Scenario analysis and predictive modeling for decision support
Business intelligence tools and dashboards
Developing a data-driven business strategy

Cost: 4250 GBP

Duration: 5 Days

Advanced Strategic Information Technology - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:11 +04

Course Introduction:
For IT professionals seeking a strategic edge, this course covers advanced concepts in aligning IT strategy with business goals, leveraging technology for competitive advantage.

Course Outcomes:
Appreciate the advantages and risks of corporate and internet computing, in achieving financial, efficiency and other objectives
Explain the costs, economics and opportunities provided by the corporate computing systems, the internet, cloud computing, open standards and social media
Create plans to introduce efficient enterprise computing systems, cloud computing and Software as a Service (SaaS)
Create plans for the application and management of ERP, CRM and IT projects using agile project management to achieve efficient and reliable and effective performance

Who Should Attend:
Senior financial executives, managers and professionals, who need to understand the impact and opportunities arising from advances in IT, the internet, social media, cloud and open standards, in order to inform the board of emerging IT risks and opportunities
Financial executives, managers and professionals, who are responsible for budgets and projects and must know the costs, economics and potential impact of computing and how to introduce computing projects
Senior company executives who are in charge of change management, ERP, CRM and IT projects

Course Topics:
IT strategy

Advances in IT and developments in corporate computing
IT applications security and architecture
Issues in formulating IT strategy to meet organisational needs
Current themes and trends open standards and the new digital environment
The IT strategy framework
Where and how to startCommon mistakes and SWOT

Project Management

Large versus small projects
Agile versus other methodologies: SSADM and Prince II
Big project case studies and research findings
Procurement and contract management: life cycle procurement
IT benchmarking

Agile Project Management

History and successesAgile practices
Agile disciplines and fulfilling control and reporting needsSetting up the agile team

Cloud Computing

The economic case for cloud computing
The opportunities from cloud computing: SaaS IaaS PaaS etc
Cloud issues: security confidentiality performance limitations (big data and content)
Purchasing and procurement of cloud
Cloud as an opportunity to upgrade and to rethink data and processes
What is SOA and should I care?

Enterprise Resource Planning (ERP)

ERP and workflow history and economicsFunctionality and vendor analysis
ERP pitfalls
ERP and open standards
Common mistakes and SWOT

Advanced Business Intelligence

Information and intelligence to run an organisation: data driven models and budgetary control; decision support systems; risk modelling and data-mining
Further techniques to define information: Critical Success Factors KPIs Balanced scorecard and benchmarks
Specialist needs: combating money laundering; fraudulent trading etc
Communicating with the Boardroom: BI dashboards and BI usage
The future: using BI to deliver policies

Customer Relationship Management (CRM)

Second generation CRM and functionality
Selecting and specifying your CRM on-premise v cloud
Marketing analysis and campaigns 360 relationships and social media
The application of CRM in public and private sector (sales v. citizen interactions)
Common mistakes and SWOT

Using the Web and Social Media for Competitive Gain

BI and data-mining analysis of marketing and selling data
Pro-active use of social media Facebook viral campaigns community groups
Analysis of tweets and social media
Dealing with big data and data discovery

Management Information and Financial Systems

Selecting and specifying your financial system including appraisal against IFRS
Managing a large organisation meeting board management and regulatory needs
The impact of cloud and big data issues
Data efficiency utilisation and control avoiding data silos
Business Intelligence and an integrated view of the organisation

Cost: 7250 GBP

Duration: 10 Days

Certified Ethical Emerging Technologist (CEET) - Opportunities Workshop , Online, Dubai, United Arab Emirates, London, United Kingdom,Bahrain,Malaysia,Oman,Qatar,Saudi Arabia,Singapore

Tue, 25 Mar 2025 18:14:04 +04

Course Overview:

This three-day intensive programme provides delegates with the knowledge, skills, and abilities required to:

Apply foundational ethical principles
Follow industry-standard frameworks
Identify and mitigate risks
Navigate ethical organizational governance
Devise and maintain ethical, trusted, and inclusive data-driven technologies

Key Topics Covered:

The Certified Ethical Emerging Technologist™ (CEET) course and exam cover the following five core areas:

Fundamental Concepts for Data-Driven Technology Ethics
Ethical Frameworks
Risk Identification and Mitigation
Communication
Organizational Policy and Governance

Certification & Exam:

This course fully equips delegates to successfully sit for the CertNexus Certified Ethical Emerging Technologist (CEET) exam and earn the accompanying certification.

Cost: 2999 USD

Duration: 3 Days