This advanced course is designed for professionals aiming to transform customer data into actionable business insights. The Customer Data Analytics and Decision Making programme provides a comprehensive understanding of how to collect, interpret, and apply customer data to enhance marketing performance, improve customer experiences, and support data-driven strategic decisions.
Participants will explore analytical frameworks, key performance metrics, predictive modelling, and behavioural analytics, learning how to leverage modern tools to uncover patterns and opportunities in customer behaviour. By integrating analytics into decision-making processes, attendees will gain the ability to make informed choices that drive profitability, retention, and sustainable growth.
By the end of this course, participants will be able to:
- Understand the role of data analytics in modern customer-centric organisations.
- Collect, manage, and clean customer data for accurate analysis.
- Apply analytical tools and methods to uncover customer insights.
- Build data-driven strategies for improving marketing, retention, and customer experience.
- Use predictive and prescriptive analytics to inform business decision-making.
This course is ideal for:
- Marketing Managers and Analysts.
- CRM and Data Professionals.
- Business Development Executives.
- Product Managers and UX Researchers.
- Entrepreneurs and Decision-Makers in Customer-Focused Businesses.
The course combines case-based discussions, analytical simulations, and hands-on exercises with real-world customer data scenarios. Participants will work through the full data cycle—from collection and analysis to strategic interpretation—using practical tools and techniques.
Day 5 of each course is reserved for a Q&A session, which may occur off-site. For 10-day courses, this also applies to day 10
Section 1: Introduction to Customer Data Analytics
- Understanding the importance of data in customer-centric organisations.
- Key types of customer data: behavioural, transactional, demographic, and psychographic.
- Data sources: CRM systems, digital analytics, social media, and surveys.
- The link between analytics, decision-making, and business growth.
Section 2: Data Management and Processing
- Data collection methods and ethics: privacy, consent, and GDPR compliance.
- Data cleaning, structuring, and preparation for analysis.
- Introduction to data warehouses and CRM databases.
- Using business intelligence (BI) tools for efficient data processing.
Section 3: Analytical Tools and Techniques
- Overview of descriptive, diagnostic, predictive, and prescriptive analytics.
- Statistical analysis and visualisation methods for customer data.
- Segmenting customers using RFM analysis, clustering, and personas.
- Identifying customer lifetime value (CLV) and churn patterns.
Section 4: From Insights to Decisions
- Turning analytical findings into actionable strategies.
- Building dashboards and key metrics (KPIs) for customer analytics.
- Decision-making models supported by data: rational vs. behavioural decisions.
- Communicating insights effectively to non-technical stakeholders.
Section 5: Predictive Models and Data-Driven Strategies
- Applying machine learning for customer prediction: purchase, churn, and sentiment.
- Building predictive models with regression, classification, and decision trees.
- Integrating analytics into marketing automation and personalisation.
- Measuring the impact of data-driven decisions on business performance.
عند إتمام هذه الدورة التدريبية بنجاح، سيحصل المشاركون على شهادة إتمام التدريب من Holistique Training. وبالنسبة للذين يحضرون ويكملون الدورة التدريبية عبر الإنترنت، سيتم تزويدهم بشهادة إلكترونية (e-Certificate) من Holistique Training.
شهادات Holistique Training معتمدة من المجلس البريطاني للتقييم (BAC) وخدمة اعتماد التطوير المهني المستمر (CPD)، كما أنها معتمدة وفق معايير ISO 9001 وISO 21001 وISO 29993.
يتم منح نقاط التطوير المهني المستمر (CPD) لهذه الدورة من خلال شهاداتنا، وستظهر هذه النقاط على شهادة إتمام التدريب من Holistique Training. ووفقًا لمعايير خدمة اعتماد CPD، يتم منح نقطة CPD واحدة عن كل ساعة حضور في الدورة. ويمكن المطالبة بحد أقصى قدره 50 نقطة CPD لأي دورة واحدة نقدمها حاليًا.
العلامات
- كود الكورس PM1-125
- نمط الكورس
- المدة 5 أيام
الدورات المميزة
