Monetizing Your Enterprise Datasets

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Who Should Attend?

C-LEVEL EXECUTIVES SENIOR, MANAGEMENT PERSONNEL SALES, MANAGER MARKETING MANAGE

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Duration: 1 Day

This course prepares business professional ways to harness the advantages with ready available data from applications like CRM, ERP, POS, MRP and HRM. Relevant datasets for each application will be presented, along with the layman illustration of the step-by-step process in creating and deploying the predictive models. With the business objective to growth sales and reduce cost, this course will definitely beneficial to your organization.

Direct marketing via customer segmentation
Customer loyalty prediction
Product upsell/cross-sell recommendation engine
Sales and marketing forecasting engine

Introduction to Data Analytics

The Variety of Data
Types of Analytics
Importance of Data to Enterprises
Identifying Data Opportunities
Best Practices to Initiate Data Analytics Initiatives

Data Analytics for Retail/Wholesale Businesses

Market Basket Analysis
Identify upsell / cross-sell potential with historical purchase transaction data to generate extra revenue.
Data sources: CRM, POS
Customer Segmentation
Identify groups of customers with similar behaviors to align respective marketing strategies and ultimately improve rates of successful sales.
Data sources: CRM, MRM
Sales Forecasting
Accurately predict sales performance and profit margins based on seasonal trends and stages of sales funnels.
Data sources: CRM, ERP, Accounting Systems

Data Analytics for Services Industry (e-Commerce, Telco, Banking)

Customer Profiling
Identify the key-drivers in customers’ decision-making process to improve customer experience and revenue.
Data sources: CRM, POS, ERP, Machine Logs
Churn Prediction
Predict customer lifetime and implement preventive strategies to ensure high customer retention.
Data sources: CRM, POS, ERP, Machine Logs
Social Media Analytics
Grasp the real-time trends in your business/industry and align your corporate strategy on the move.
Data sources: Web, Media, Social Media

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Drop us your entry if you are interested to join this course.

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