AI智能总结
DECEMBER 9-13, 2024|WASHINGTON, D.C. JOIN YOURJOIN YOURCOMMUNITY AT THECOMMUNITY AT THEPREMIERPREMIERDATA GOVERNANCEDATA GOVERNANCECONFERENCECONFERENCE FEATURING CO-LOCATED EVENTS WOMENIN DATA MANAGEMENTAND GOVERNANCEA DATAVERSITY COMMUNITY TABLE OF CONTENTS 1.Executive Summary5 2.Research and Demographics6 A. Scope of Research6B. Principal Demographics71. Job Function72. Industry Representation83. Company Size9 3. Goals and Drivers for Data Management10 A. Goals and Drivers10B. Challenges and Priorities13 4. Current State of Data Management15 A. The Scope of Data Management15B. Roles Driving Data Management16C. Components of Data Management17D. Concluding Comments20 5. Technology and Training21 A. Tools and Technology21B. Training22 6.Data Governance and Metadata Management24 A. Data Governance24B. Metadata Management25C. Concluding Comments27 7. Data Architecture28 A. State of Data Architecture Within Data Management28B. Value of Data Architecture29C. Concluding Comments30 8. Data Modeling31 A. State of Data Modeling Within Data Management32B. Data Modeling Methods33C. Types of Models and Diagrams34D. Concluding Comments35 9. Data Platforms and Storage36 A. Data Platforms36B. Future Plans for Data Platforms and Storage37C. Concluding Comments38 10. New Technologies and Trends39 A. Organizational Trends39B. Future Trends40C. Concluding Comments40 12. Producers42 13. About the Authors43 1. EXECUTIVE SUMMARY Today’s economy is driven by data, with artificial intelligence (AI) and digital commerce beinghousehold concepts. Notable in this year’s survey is that the top-of-mind concerns have lessto do with the transformational power of AI and digital technologies, but more with concernsabout how to govern the data supporting these technologies and to ensure high-quality data.Data governance and the need for cross-functional, data-literate teams managing enterprisedata is a strong theme throughout this year’s survey. Key highlights from responses include: •63% of respondents feel that their organization treats data as a corporate asset.•Gaining insights through reporting and analytics was the top driver for data management,with 72% of the responses.•The number of data silos was the top concern, with 68% of respondents listing it as an issuein their organization.•The top initiatives planned in the next 1-2 years are data governance (39%) and datastrategy (37%) as organizations look to drive more value from data while maintainingtrusted, secure information assets. 2. RESEARCH AND DEMOGRAPHICS A. Scope of Research DATAVERSITY®’s2024 Trends in Data Management Survey (TDM)offers insights into businesses’directions and concerns as data management evolves. This report represents the sixth in aseries started in 2019. The overall structure and methodology of the 2024 study have remained like those of previousyears from 2019 onward. When relevant, we will compare previous Trends in Data Managementsurveys with 2024’s results to determine long-term trends. This year’s survey had a total of 334 respondents from 45 countries across the globe.Geographically, 54% of those surveyed came from the United States, followed by 9% fromCanada, 6% from the United Kingdom (U.K.), 3% from Australia, and 3% from India. Businesses of all sizes were surveyed, along with a variety of industries and roles. Mostrespondents worked in data governance positions. Additionally, a broad selection of industrieswas represented, including manufacturing, education, and retail. This survey had 26 questions. Three of the questions were open-ended, with the remainingquestions offering a selection of answers and instructions for some to check off all answersthat apply. The questions offering checked-off responses typically included an “Other (please specify)”box, with space available for a short description. Those comments will be included whererelevant to the analysis. Survey questions were sorted into 10 topics and were followed by spaces for additionalcomments. The sections are: •General Demographics (four questions)•Goals and Drivers for Data Management (four questions)•The Current State of Data Management (four questions)•Technology and Training (two questions)•Data Governance and Metadata Management (three questions)•Data Architecture (two questions)•Data Modeling (three questions)•Data Platforms and Storage (two questions)•New Technologies and Trends (two questions) DATAVERSITY recruited survey participants through an email campaign using the DataEducation Month resources. Those who responded received links for the2024 Trends in DataManagement Survey, and there was no time limit for answering the questions. The 334 participants did not receive monetary compensation. Instead, they received thecompiled preliminary results from the study. Please note that the survey’s responses andcomments represent only the views of these participants. B. Principal Demographics First, survey respondents answered a general questio