IDC PeerScape : 데이터 인텔리전스의 베스트 프랙티스

This IDC PeerScape highlights strategies for implementing data intelligence platform software, emphasizing starting small, gaining executive sponsorship, involving cross-functional teams, prioritizing training, and maintaining data quality. The document underscores the importance of strategic scoping, fostering a data-driven culture and utilizing AI-driven automation. Continuous measurement and documentation are essential for tracking performance and proving ROI, ultimately transforming raw data into a valuable strategic asset."Implementing data intelligence platform software requires discipline to transform raw data into a strategic asset," said Stewart Bond, research VP, Data Intelligence and Integration Software, IDC. "Start small but ensure business value with the first initiative while fostering a data-driven culture and leverage AI-driven automation for sustained success."

IDC PeerScape Figure

Executive Summary

Peer Insights

• Practice 1: Start Small and Maximize Vendor Relationships
  • Challenge
  • Example
  • Guidance
• Practice 2: Gain Early Executive Sponsorship and Involve Cross-Functional Teams
  • Challenge
  • Example
  • Guidance
• Practice 3: Prioritize Training and Simplify Landscape with the Creation of Data Products
  • Challenge
  • Example
  • Guidance
• Practice 4: Do Not Neglect Data Quality and Utilize Automation Capabilities
  • Challenge
  • Example
  • Guidance
• Practice 5: Continuously Measure Effectiveness and Document Processes
  • Challenge
  • Example
  • Guidance

Learn More

• Related Research