What you'll learn

Understand core retail analytics concepts and terminology.
Learn how to implement and optimize multi-channel retail strategies.
Master Recency, Frequency, and Monetary (RFM) segmentation for customer analysis.
Gain proficiency in building category scorecards and store clustering.
Develop skills in data modeling and recommendations for retail businesses.
Apply retail analytics through case studies and real-world scenarios.

Requirements

There are no strict prerequisites for this course. However, it is recommended that students have a basic understanding of data analysis and retail operations. Familiarity with Excel or similar tools for data manipulation would also be beneficial, but not necessary, as we will provide all the necessary training.

Description

Course Introduction:In today's competitive retail landscape, understanding consumer behavior, optimizing operations, and implementing data-driven strategies are essential for success. This Retail Analytics course is designed to equip professionals with the tools and techniques necessary to leverage data effectively across various retail functions. Whether you're looking to enhance customer experience, streamline operations, or build actionable business strategies, this course will guide you through the fundamentals of retail analytics, multi-channel retail strategies, and real-world applications through case studies.Section-wise Write-up:Section 1: Introduction to Retail AnalyticsThe first section of the course focuses on laying the groundwork for retail analytics. In this section, students will explore an introduction to retail analytics, which includes a detailed understanding of core terminology such as product, supply chain, and assortment. Through multiple lectures, we will dive deep into these areas to provide clarity on the concepts that will drive your retail data strategies. Additionally, we'll explore key retail

Overview

s to give students a comprehensive understanding of the retail environment.By the end of this section, students will have a solid grasp of the essential terms and foundational knowledge in retail analytics, preparing them for the more advanced topics in the following sections.Section 2: Multi-Channel Retail StrategiesThe second section introduces students to multi-channel retail strategies — a must-have in today's omnichannel world. Here, students will learn about different types of retail channels, the significance of multi-channel retailing, and how brick-and-mortar stores can build an integrated multi-channel strategy. This section also covers key concepts such as retail dashboards, which help analyze data and make informed decisions.Furthermore, the section dives into Recency, Frequency, and Monetary (RFM) segmentation, a crucial technique in customer segmentation, and applies it with practical examples. Students will also explore Retail Analytics MBA methodologies and Category Scorecards, helping them to understand how retail performance can be measured and improved. Finally, we'll discuss store clustering and how to use it to optimize retail operations.Section 3: Real-World Applications – Retail Case StudiesThe third section of the course presents real-world retail case studies to help students understand how the theory they've learned is applied in practical scenarios. This section includes hands-on data understanding and modeling sessions, followed by the application of recommendation systems based on real retail data. By analyzing these case studies, students will learn how to process and model retail data to generate actionable insights, craft data-driven strategies, and recommend improvements to real-world retail operations.Conclusion:The Retail Analytics course offers an in-depth exploration of the critical components needed to succeed in today's data-driven retail world. From understanding fundamental retail terminology to building and applying complex data models, this course empowers students with the knowledge and tools to thrive in a retail analytics role. Real-world case studies and practical applications provide a robust learning experience, ensuring students can apply their learning immediately in the field.

Overview

Section 1: Introduction
Lecture 1 Introduction to Retail Analytics
Lecture 2 Introduction to Retail Analytics continued
Lecture 3 Retail

Overview

s Part 1
Lecture 4 Retail

Overview

s Part 2
Lecture 5 Retail

Overview

s Part 3
Lecture 6 Retail

Overview

s Part 4
Lecture 7 Product Terminology
Lecture 8 Product Terminology continued
Lecture 9 Supply Chain Terminology
Lecture 10 Supply Chain Terminology continued
Lecture 11 Assortmet Terminology
Section 2: Multi Channel Retail
Lecture 12 Different type of retail channels
Lecture 13 How multi channel help retailer
Lecture 14 How a brick and mortar retailer can developed multi channel strategy
Lecture 15 Retail Dashboard
Lecture 16 Retail Dashboard continued
Lecture 17 Recency Frequency and Monetary value segmentation
Lecture 18 Recency Frequency and Monetary value segmentation continued
Lecture 19 Building Model ,Examples and application of RFM
Lecture 20 Building Model, Examples and application of RFM continued
Lecture 21 Retail analytics MBA Methodology Part 1
Lecture 22 Retail analytics MBA Methodology Part 2
Lecture 23 Retail analytics MBA Methodology Part 3
Lecture 24 Category Score Card Part 1
Lecture 25 Category Score Card Part 2
Lecture 26 Category Score Card Part 3
Lecture 27 Category Score Card Part 4 part-1
Lecture 28 Category Score Card Part 4 part-2
Lecture 29 Category Score Card Part 4
Lecture 30 Category Score Card Part 5
Lecture 31 Category Score Card Part 6
Lecture 32 Store Clustering Part 1 _Part 01
Lecture 33 Store Clustering Part 1 _Part 02
Lecture 34 Store Clustering Part 2
Section 3: Retail Case Study
Lecture 35 Case Study Part 1
Lecture 36 Case Study Part 2
Lecture 37 Data Understanding Part 1- Part-1
Lecture 38 Data Understanding Part 1- Part-2
Lecture 39 Data Understanding Part 2
Lecture 40 Data modelling part 1
Lecture 41 Data modelling part 2 Part-1
Lecture 42 Data modelling part 2 Part-2
Lecture 43 Data modelling part 3
Lecture 44 Recommendation Part 1- Part-1
Lecture 45 Recommendation Part 1- Part-2
Lecture 46 Recommendation Part 2- Part-1
Lecture 47 Recommendation Part 2- Part-2
Retail professionals looking to enhance their data analysis skills.,Business analysts and data analysts in the retail sector.,Marketing professionals who wish to leverage customer data for segmentation and strategy.,Anyone interested in understanding how analytics can optimize retail operations, improve customer experiences, and drive sales.

Homepage:

https://www.udemy.com/course/mastering-retail-analytics-from-data-to-strategy/

Mastering Retail Analytics From Data To Strategy Fast Download
Mastering Retail Analytics From Data To Strategy Full Download