Trends in corporate data management



During the 51st CC CDQ workshop in Gottlieben (Switzerland), Tobias Pentek presented some interesting preliminary findings from the CDQ Trend Study. The data was collected from 23 managers from 19 companies from different industries, who filled out a questionnaire comprising 165 questions and took part in a 60- to 120-minute interview. Most of the companies participating in the survey are CC CDQ member companies, each of which has more than 25 FTEs working in data management. 

A detailed study report will be published beginning of next year. Here are some of the findings in advance:

The first part of the study, dealing with the goals and drivers of data management in the future, reveals that the current digitization megatrend has a significant impact on data management Business analytics, Industry 4.0, and ecosystem collaboration are the key business trends of today. Cloud services are the most prominent current and future technology trend, while ontologies, semantics, and noSQL have only started to be of relevance. Challenges increasingly to be addressed in the future are data security, privacy issues, compliance, and big data. And, as some of you might have expected, data management functions are striving to become more agile, in order to be able to respond to dynamic business requirements and technological environments.

In the second part, the study describes how the role and scope of data management has changed. One of the key findings here is that data management, previously known as a “hidden” function, is more and more becoming a solution provider characterized by high agility and increased customer orientation. Data managers today are increasingly asked to participate in projects and initiatives as consultants. The scope of data management is becoming broader, as data management needs to deal with more data classes and types (e.g. consumer master data, web data, or metadata). The success factors of data management remain the same, however. Among them are data standardization and harmonization, close collaboration between data management and business departments, and sponsorship from senior management.

 The third part of the study provides insights as to how data managers measure the performance of and the progress made in data management. The findings show that measuring data quality remains a big challenge and a top priority of the future. The study also reveals that measuring data management’s value contribution to business will be vital in the future. Furthermore, transparency of determining the value of data will become increasingly important.

For further information please contact Tobias Pentek.

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