Data Mining in CRM

3,014 views 14 slides Oct 07, 2019
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About This Presentation

What is Data Mining?
The process of determining useful patterns and relationships in big data through algorithms, to extract knowledge from data warehouses.
Role of Data Mining in CRM:
1. Get a holistic view of customer life-cycle
2. More data will result in accurate models
3. Leverage forecasting...


Slide Content

DATA MINING IN CRM ROLUSTECH

AGENDA What is Data Mining? Role of Data Mining in CRM How will Data Mining benefit my business? Techniques of Data Mining in CRM

What is Data Mining? The process of determining useful patterns and relationships in big data through algorithms, to extract knowledge from data warehouses.

R ole of Data Mining in CRM Get a holistic view of customer life-cycle More data will result in accurate models Leverage forecasting and descriptive modeling techniques Have a proactive approach with predictive analytics

How will Data Mining Benefit my Business? Conduct Basket Analysis for better stocking, store layout, and promotion strategies Sales Forecasting to optimize your sales, supply chain and financial management Predictive Lifecycle Management for each customer to segment them accordingly

How will Data Mining Benefit my Business? Optimal Allocation of company’s resources for enhanced productivity and better ROI Product Customization by predicting features that meet the customer’s demands Database Marketing for a defined target market, personalized campaigns and promotional offers

How will Data Mining Benefit my Business? Predict Warranty Claims by the customers and their average cost to have efficient management of funds Fraud detection by analyzing past fraudulent transactions and taking corrective measures

Techniques of Data Mining in CRM

D ata Mining Techniques Clustering – Identify similar data sets, and understand both similarities and differences in data to increase conversion rates Classification – Gather all information about a data set and classify it into proper categories . Anomaly Detection – Information that does not match the expected behavior or projected pattern, providing actionable information

D ata Mining Techniques Association Rule Learning – Uncover hidden patterns from the data to better understand your customer’s habits and predict their decisions Regression – Find dependency between different data items and map out the effect of variables on each other. It helps in determining customer satisfaction levels and its impact on customer loyalty

Read our entire blog here: https://www.rolustech.com/blog/data-mining-crm

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Further Reading How is Big Data Relevant To CRM? CRM and Small Data Analytics Artificial Intelligence and the future of CRM Top 4 Ways your CRM can use Predictive Intelligence