The document outlines the challenges organizations face in achieving high-quality enterprise data for decision-making, indicating that many consider their data strategies immature. Key issues include inaccurate data, data silos, and poor governance, while cloud platforms and data governance are prioritized for improvement. Despite efforts, only a small percentage of organizations view their data management approaches as effective.

1. WALKING THE PATH TO
TRUSTED DATA

2. SPEAKERS AND AGENDA

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SURVEY OBJECTIVES

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TERMINOLOGY

6. THE IMPORTANCE OF HIGH-QUALITY ENTERPRISE DATA TRUSTED
FOR DECISION-MAKING IS NOT BEING MATCHED BY EFFORT

7. FINANCIAL, CUSTOMER, PRODUCT & EMPLOYEE DATA ARE LEADING TYPES
OF ENTERPRISE DATA ESSENTIAL TO BUSINESS OPERATIONS

8. HALF OF RESPONDENT ORGANIZATIONS PROCESS MORE THAN 10
DIFFERENT TYPES OF DATA

9. THE VAST MAJORITY OF ORGANIZATIONS EXPECT THE NUMBER OF
DATA TYPES USED IN OPERATIONS WILL INCREASE

10. A MAJORITY OF ORGANIZATIONS DEFINE THEIR ENTERPRISE-WIDE DATA
STRATEGY AS IMMATURE

11. INACCURATE/INCOMPLETE DATA, DATA SILOS, AND POOR GOVERNANCE
FOR ENTERPRISE DATA ARE TOP PROBLEM SOURCES

12. POOR DATA CULTURE, LACK OF TALENT/SKILLS, IMPLEMENTATION/INT.
OF TECHNOLOGIES TOP CHALLENGES TO ENTERPRISE DATA STRATEGY

13. A MAJORITY CITE IMPLEMENTATION OF DATA GOVERNANCE &
MASTER DATA MGT. AS MOST IMPORTANT TO DATA QUALITY & TRUST

14. CLOUD PLATFORMS, DATA GOVERNANCE, AND DATA LAKES AND
WAREHOUSE LEAD ENTERPRISE DATA STRATEGY

15. ONLY ONE IN TEN ORGANIZATIONS RATE THEIR APPROACH TO
ENTERPRISE-DATA AS VERY EFFECTIVE

16. ONLY ONE IN FIVE ORGANIZATIONS RATE THEIR APPROACH TO
MASTER DATA MANAGEMENT AS VERY EFFECTIVE

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SUMMARY

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25. DISCUSSION | Q&A