2018-CRM报告与销售分析：有什么区别？（英文版）-4mb

CRM Reporting vs. Sales Analytics: A Detailed Summary

Core Content

This document explores the distinction between CRM reporting and sales analytics, emphasizing the importance of choosing the right tool for different business needs. It highlights how CRM systems are essential for managing current customer and prospect relationships, while sales analytics platforms offer deeper insights to drive future growth and performance.

Main Differences

Key Points

1. CRM Reporting

• Provides information to manage current customers and prospects.
• Focuses on operational tasks and data management.
• Lacks advanced analytical capabilities and predictive insights.
• Reporting is often complex and limited in scope.

2. Sales Analytics

• Offers intelligence for strategic decisions and future planning.
• Enables data-driven forecasting and budgeting.
• Provides insights into market trends, customer behavior, and product performance.
• Allows for intuitive data exploration rather than hierarchical access.
• Enhances cross-functional collaboration and customer engagement.

3. Limitations of CRM Alone

• Limited reporting capabilities and data integration.
• Siloed data and lack of flexibility in deployment.
• Inability to provide a holistic view of the business.
• Inadequate support for complex analytics and predictive modeling.

4. Role of Sales Analytics Platforms

• Combine data from various systems to offer a complete view of sales performance.
• Enable better pipeline and forecast management.
• Improve pricing strategies and profitability through what-if analysis.
• Facilitate customer segmentation, territory design, and campaign planning.

5. Benefits of Sales Analytics

• Better Decision Making: Access to real-time, accurate data supports strategic planning.
• Improved Collaboration: Cross-functional teams can work together with a unified data view.
• Enhanced Customer Service: Deeper insights into customer behavior improve service delivery.
• Optimized Sales Processes: Streamlined procedures and intuitive data exploration lead to more efficient sales operations.

6. Challenges in Sales Analytics

• Data quality and integration remain major challenges.
• Many systems struggle with scalability and user access.
• The ability to explore and analyze data intuitively is often lacking in traditional CRM systems.

Insights from Industry Reports

• Economist Intelligence Unit (EIU):
  • Businesses value data accuracy and integration.
  • However, these are also the most common limitations of current systems.
• The Aberdeen Group:
  • Sales organizations that ignore analytics face thinner pipelines and lower profitability.
  • Emphasizes the need for data-driven forecasting and quota attainment.

Conclusion

Sales analytics is a more advanced approach that goes beyond CRM reporting to provide strategic insights and predictive capabilities. While CRM systems are vital for managing existing relationships, sales analytics platforms enable businesses to make better-informed decisions, improve performance, and drive future growth. The integration of diverse data sources and the ability to perform complex analyses are key differentiators that make sales analytics the preferred choice for modern enterprises.

About Qlik®

Qlik is a leader in data discovery and visualization, offering intuitive solutions for self-service analytics. With approximately 36,000 customers, Qlik helps organizations uncover hidden relationships in data, leading to actionable insights and improved business outcomes. Visit www.qlik.com/salessolutions for more information.