The proliferation of Internet of Things (IoT) devices has revolutionized industries, enabling unprecedented levels of data collection and analysis. However, this explosion of data presents unique challenges for organizations attempting to implement robust data governance frameworks. In this post, we’ll explore these challenges, propose strategies for incorporating IoT data into governance frameworks, and discuss how
In todayā€™s competitive business environment, the ability to make informed, data-driven decisions is a key differentiator. However, achieving a truly data-driven culture within an organization requires more than just collecting and analyzing dataā€”it requires a solid foundation of data governance. In this post, weā€™ll explore how data governance can support the development of a data-driven
Background: A multifaceted business organization embarked on a transformational change initiative to streamline operations, reduce costs, enhance service quality, and improve efficiency and standardization. The company decided to establish a Shared Service Center (SSC) in different low-cost regions to consolidate its finance, HR, and IT functions and serve multiple countries. Challenges: Employee Relocation Resistance: Employees
Data Mesh is a relatively new concept and architectural approach for managing and organising large-scale data systems within organisations. It was introduced by Zhamak Dehghani, a software architect at ThoughtWorks, and it aims to address the challenges that arise as companies deal with increasingly complex and distributed data landscapes. In a traditional centralized data architecture,