
IDC PeerScape: Best Practices in Data Intelligence
Description
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."
Table of Contents
11 Pages
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
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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
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Example
Guidance
Practice 5: Continuously Measure Effectiveness and Document Processes
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Example
Guidance
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