About the Course
Modern organizations are often data-rich but insight-poor, struggling to synchronize customer touchpoints across fragmented digital ecosystems. This CRM data analytics course addresses the core challenge of data fragmentation by teaching you how to build a unified view of the customer. You will learn to navigate the complexities of data hygiene, ETL (Extract, Transform, Load) processes, and cross-channel attribution. To succeed in this field, you must demonstrate five core capabilities: data auditing, behavioral segmentation, predictive modeling, visualization, and strategic storytelling. We utilize internationally recognized frameworks for data governance and customer centricity to ensure your skills are applicable across any enterprise CRM environment, whether you are using Microsoft Dynamics 365, SAP CRM, or specialized marketing automation tools.
The curriculum is structured to move you from foundational data literacy to intermediate analytical application. You will practice hands-on techniques for calculating Recency, Frequency, and Monetary (RFM) scores and building automated lead-scoring models. While we introduce the conceptual foundations of machine learning for churn prediction, the primary focus remains on operational application using SQL, Excel, and business intelligence tools like Power BI or Tableau. You will learn how to translate complex datasets into executive-ready reports that justify marketing spend and sales resource allocation. This course is specifically designed for professionals who must deliver measurable results under the pressures of tightening budgets, increasing data privacy regulations, and the rapid acceleration of AI-assisted customer engagement.
Target Audience
This course is ideal for professionals who manage customer data and are responsible for driving measurable improvements in sales and marketing performance.
This course is designed for:
- CRM Managers overseeing platform adoption and data integrity
- Marketing Analysts measuring campaign ROI and attribution
- Sales Operations Specialists optimizing lead-to-cash workflows
- Customer Success Managers tracking retention and churn metrics
- Digital Transformation Leads integrating CRM with enterprise systems
- Data Analysts transitioning into customer-centric business intelligence
- Business Development Managers seeking data-backed growth strategies
- E-commerce Managers analyzing customer purchase behavior patterns
- Revenue Operations (RevOps) Professionals aligning cross-functional data
- Database Administrators supporting CRM data architecture and hygiene
Course Objectives
This course equips you to design, execute, and report CRM Data Analytics initiatives that improve customer retention, ensure regulatory compliance, and drive strategic revenue growth.
By the end of this course, you'll be able to:
- Assess CRM data quality using standardized data hygiene frameworks
- Apply RFM analysis to segment customers by behavioral value
- Calculate Customer Lifetime Value (CLV) using historical transaction datasets
- Build a lead scoring model to prioritize high-conversion prospects
- Design a churn prediction dashboard using key behavioral indicators
- Evaluate marketing campaign effectiveness through multi-touch attribution models
- Navigate data privacy requirements including GDPR and CCPA protocols
- Synthesize analytical findings into executive-level CRM performance reports
Requirements & Prerequisites
Participants should have a foundational understanding of CRM platforms (e.g., Salesforce, HubSpot, or Dynamics 365) and basic proficiency in Microsoft Excel (pivot tables and VLOOKUP). No prior coding or SQL experience is required, though familiarity with data concepts is beneficial.
Local Application and Business Return
How participants can apply the training in local operating conditions, and the return their organisation can plan for.
How participants apply this
Expected ROI
Training Methodology
This is a practical, outcome-driven course designed to turn CRM data aspirations into measurable action and credible reporting.
Methodology includes:
- Hands-on calculation of CLV using a provided retail dataset
- Scenario simulation involving a high-churn SaaS company case study
- Data quality audit using a standardized CRM hygiene checklist
- Stakeholder mapping exercise for cross-functional CRM reporting chains
- Case study analysis of CRM successes in Finance and Retail
- Group workshop building a lead scoring framework for B2B
- Reflection exercise benchmarking current CRM maturity against industry standards
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the CRM Data Analytics Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.
NITA Accredited
Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.
CPD Certified
Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.
Why this course earns its place on your CV
Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.
In-Demand Skills
- Transform raw CRM data into actionable insights that drive revenue growth.
- Master predictive analytics to forecast customer behavior with precision.
- Learn segmentation techniques that power hyper-targeted marketing campaigns.
Career Advancement
- CRM analysts rank among the fastest-growing roles in data-driven organizations.
- Command higher salaries with verified, employer-recognized analytics expertise.
- Bridge the talent gap companies desperately need filled right now.
Practical Expert-Led Training
- Train on live CRM datasets guided by seasoned industry practitioners.
- Build a portfolio of real-world analytics projects before course completion.
- Flexible modules designed for working professionals to learn at their pace.
