Course Detail

Retail Analytics

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Skill Development Program in Retail Analytics

Retail Analytics involves leveraging data and analytical techniques to optimize retail operations and enhance decision-making. It encompasses analyzing sales data to identify trends and performance metrics, understanding customer behavior through demographic and purchase history analysis, and optimizing inventory management to balance stock levels. Retail analytics also focuses on developing effective pricing strategies, understanding market basket patterns to identify cross-selling opportunities, and improving supply chain efficiency by analyzing supplier performance and logistics. Additionally, it evaluates store performance through metrics like foot traffic and sales per square foot, manages customer experience by analyzing feedback and satisfaction surveys, assesses marketing campaign effectiveness, and employs predictive analytics to forecast future trends and behaviors. By integrating these insights, retailers can improve operational efficiency, maximize profitability, and deliver a better customer experience.

Why did you choose the Retail Analytics Course from CCVTE?

Choosing a Retail Analytics course from a CCVTE offers several advantages:

  • Industry-Relevant Curriculum: We provide up-to-date and practical knowledge that aligns with current industry standards and demands.
  • Expert Instructors: Our courses are typically taught by experienced professionals and researchers who are leaders in the field, ensuring high-quality instruction.
  • Hands-On Experience: Our courses offer hands-on projects and real-world case studies, allowing you to apply theoretical knowledge and build a robust portfolio.
  • Networking Opportunities: Enrolling in Our courses  we can provide networking opportunities with peers, instructors, and industry professionals, which can be valuable for career growth.
  • Certification: Upon completion, you often receive a recognized certification or diploma that can enhance your resume and improve job prospects.
  • Access to Resources: Our courses usually provide access to a wealth of learning materials, tools, and platforms that can facilitate deeper understanding and practical skills development.
  • Career Support: We provide  career support services such as job placement assistance, resume reviews, and interview preparation, helping you transition into the workforce more smoothly.

Specialization in  Retail Analytics

  • Sales Analytics
  • Customer Analytics
  • Inventory Analytics
  • Pricing Analytics
  • Market Basket Analysis
  • Store Performance Analytics
  • Supply Chain Analytics
  • Marketing Analytics
  • Customer Experience Analytics
  • Predictive Analytics

Career opportunities

  • Retail Data Analyst
  • Customer Insights Analyst
  • Inventory Analyst
  • Pricing Analyst
  • Market Basket Analyst
  • Store Performance Analyst
  • Supply Chain Analyst
  • Marketing Analyst
  • Customer Experience Analyst
  • Predictive Analytics Specialist
  • Business Intelligence Analyst
  • E-Commerce Analyst
  • Sales Analyst
  • Data Scientist
  • Retail Consultant

Syllabus

3 Months

6 Months

1 Year

2 Years

Introduction to Retail Analytics

Introduction to Retail Analytics

Introduction to Retail Analytics

Introduction to Retail Analytics

Data Collection and Management

Data Collection and Management

Data Collection and Management

Data Collection and Management

Sales Analytics

Sales Analytics

Sales Analytics

Sales Analytics

Customer Analytics

Customer Analytics

Customer Analytics

Customer Analytics

 

Inventory Analytics

Inventory Analytics

Inventory Analytics

 

Pricing Analytics

Pricing Analytics

Pricing Analytics

 

Market Basket Analysis

Market Basket Analysis

Market Basket Analysis

 

Store Performance Analytics

Store Performance Analytics

Store Performance Analytics

   

Supply Chain Analytics

Supply Chain Analytics

   

Marketing Analytics

Marketing Analytics

   

Customer Experience Analytics

Customer Experience Analytics

   

Predictive Analytics

Predictive Analytics

     

Advanced Data Analytics Tools

     

Case Studies and Applications

     

Capstone Project

     

Industry Trends and Career Development

 

Top Hiring Companies

 

  • Walmart
  • Amazon
  • Target
  • The Home Depot
  • Macy's
  • Best Buy
  • Kohl's
  • Lowe's
  • Reliance Retail
  • Future Group
  • Tata Cliq
  • Aditya Birla Fashion & Retail
  • Shoppers Stop
  • Big Bazaar
  • Lifestyle Stores
  • Myntra
  • Flipkart
  • Amazon India
  • Croma
  • Nordstrom
  • Walgreens
  • Costco

 

Other Retail Courses Provided by CCVTE

 

Retail Sales

E- business

Retail Management Strategy Pricing and Psychology

Customer Relationship Management

Frequently Asked Questions

Retail Analytics involves analyzing data related to retail businesses to improve decision-making, optimize operations, and enhance customer experiences. It includes studying sales data, customer behavior, inventory levels, and more.

Common tools and technologies include SQL, Excel, Tableau, Power BI, Python, R, Google Analytics, and various CRM and ERP systems

Applications include inventory management, customer segmentation, sales forecasting, pricing strategies, marketing effectiveness, and enhancing customer experience.

It helps predict demand, optimize stock levels, reduce holding costs, prevent stockouts and overstocks, and improve the supply chain efficiency.

Retail Data Analyst , Customer Insights Analyst , Inventory Analyst , Pricing Analyst , Market Basket Analyst , Store Performance Analyst , Supply Chain Analyst , Marketing Analyst ,Customer Experience Analyst , Predictive Analytics Specialist , Business Intelligence Analyst.