Gartner Insights Abstract

The Post-Data-Middle-Office Era: Opportunities and Challenges in China

Published: 05 February 2024

Summary

After several years, the hype around the data middle office has dissipated. This research unpacks the dilution of data middle offices and the evolution of the market in the post-data-middle-office era. It can help data and analytics leaders reimagine their D&A strategies and operating practices.

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Overview

Impacts
  • A shift is underway from a sole focus on centralized data management and reusability to the pursuit of data monetization, which data middle offices (DMOs) are lagging behind.

  • The implementation of a DMO incurs significant costs and presents challenges in justifying the value of investments in data and analytics (D&A) within an overall economic climate characterized by decelerating growth.

  • The centralized operating model of the DMO poses challenges in meeting rapidly changing needs, where an adaptable D&A operating model is required to scale data democratization in a governed manner.

  • Emerging technologies, such as generative AI (GenAI), are expected

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Analysts:

Fay Fei Xingyu Gu Tong Zhang

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