Sales Management
Client Analysis
Developing Predictive Analytics
Business Performance
Data Mining for Operational Efficiency Gains
Experiences
Importance of Big Data
Big Data Technologies Transforming Industries
Business Modeling 
Direct
Sales Model: Products are sold directly to consumers, often through online channels
...Importance of Business Modeling Business modeling plays a vital role in various aspects of business
management, including: Strategic Planning: Helps businesses define their goals and the strategies to achieve them
...
Statistical Techniques for Predictive Analytics It is widely used in various industries such as finance, healthcare, marketing, and supply chain
management ...Marketing: Customer segmentation,
sales forecasting, and campaign optimization
...
Client Analysis target markets Enhance customer experience through personalized services Increase client retention rates Drive
sales and revenue growth Optimize marketing strategies Key Components of Client Analysis Client analysis can be broken down into several key components: 1
...Surveys and feedback forms Transaction histories Website and social media analytics Customer relationship
management (CRM) systems 2
...
Developing Predictive Analytics Organizations can source data from: Internal Data: Data generated within the organization, such as
sales records, customer interactions, and operational metrics
...Business Predictive analytics has numerous applications across various industries, including: Customer Relationship
Management (CRM): Enhancing customer engagement and retention strategies
...
Business Performance Operational Performance: Focuses on the efficiency of internal processes, including production rates, supply chain
management, and resource utilization
...CAC = Total
Sales and Marketing Expenses / Number of New Customers Employee Turnover Rate Indicates the rate at which employees leave a company
...
Data Mining for Operational Efficiency Gains It is widely used in forecasting
sales and financial trends
...Supply Chain
Management Data mining can optimize supply chain operations by analyzing historical data to forecast demand, manage inventory levels, and reduce lead times
...
Experiences highlight the key aspects: Data Collection: Gathering relevant data from various sources including customer interactions,
sales records, and market trends
...Change
Management: Resistance to adopting data-driven approaches can impede the implementation of analytics initiatives
...
Importance of Big Data Businesses can optimize supply chain
management, resource allocation, and production processes, leading to cost savings and increased productivity
...Retail: Inventory management,
sales forecasting, and customer behavior analysis
...
Big Data Technologies Transforming Industries Handling unstructured data, content
management, and IoT applications
...2 Retail Retailers use Big Data to enhance customer experiences and drive
sales ...
Environment These include: Organizational culture
Management structure Employee relations Operational efficiency 1
...environmental analysis, including: Social media platforms Market research reports Customer feedback and reviews
Sales and financial data 5
...
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