![Global Enterprise Data Management Market](https://res.cloudinary.com/devmoveo/image/upload/v1706192375/skyquest/report/phpNasryt.jpg)
Report ID: SQMIG45B2084
Report ID:
SQMIG45B2084 |
Region:
Global |
Published Date: July, 2001
Pages:
165
|
Tables:
87 |
Figures:
76
The global enterprise data management market is highly competitive and characterized by the presence of several key players. Companies operating in this market focus on developing innovative solutions to meet the evolving data management needs of organizations across various industries. Some of the major players in the market engage in strategies such as mergers and acquisitions, partnerships, collaborations, and product launches to strengthen their market position and expand their customer base. Additionally, technological advancements, particularly in areas like AI, ML, cloud computing, and cybersecurity, are key areas of focus for these players as they seek to provide robust and comprehensive enterprise data management solutions to their clients.
Enterprise Data Management Market Top Players Company Profiles
Enterprise Data Management Market
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REQUEST FREE CUSTOMIZATIONThe key element of enterprise data management (EDM) is data governance. Data governance is the set of policies, processes, and structures that ensure that data is managed effectively within an organization. It includes activities such as data quality management, data security, and data compliance.
Enterprise data management (EDM) and Infrastructure as a Service (IaaS) are two different approaches to managing data. EDM is a holistic approach that encompasses the entire data lifecycle, from collection to storage to analysis. IaaS is a more focused approach that provides the underlying infrastructure for storing and managing data.
Achieving enterprise data management can be challenging due to various factors. Some of the main challenges include ensuring data quality, integrating data from different sources, protecting data security, establishing data governance policies, designing a scalable data architecture, developing data analytics capabilities, and ensuring compliance with data privacy regulations.
Enterprise data management initiatives typically focus on key activities such as data governance, data quality management, data integration, and master data management. Data governance involves establishing policies and procedures for managing data. Data quality management ensures that data is accurate, complete, and consistent. Data integration involves integrating data from different sources into a single view. Master data management creates a single source of truth for key data elements. These activities are critical for effective enterprise data management.
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Report ID: SQMIG45B2084