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Leading business enterprises generate volumes of data and often look for tools and technologies to survive in the data-driven economy. An enterprise data management framework paves the way for strategic storing and managing data for actionable decision-making. This data management strategy aims to eliminate data duplication, remove data silos, and ensure regulatory compliance, which ultimately improves operational efficiency. This whitepaper outlines the Data lifecycle management framework best practices, proven methodologies, and actionable steps to help business leaders, IT teams, and data professionals transform raw data into a trusted strategic asset.
Enterprises today need a unified and future-proof data management framework for adapting to change and making data scalable and auditable. This Strategic Framework for Enterprise Data Management whitepaper is a structured blueprint that empowers you to ensure data quality, align governance policies, and adopt lifecycle practices in one single model. It can help you establish data policies, use AI-driven analytics for automatic validations, and adopt federated governance with data mesh principles. The whitepaper includes the data lifecycle framework, methodology and Implementation roadmap, risk management strategy, and recommendations for adapting the model for long-term business success.
Using data management frameworks is a balanced approach for maintaining privacy while doing platformization. With the right data management practice, you can securely manage volumes of data that are accurate and consistent with business goals. It requires a comprehensive approach to storing and managing data by taking care of the data lifecycle. While doing so, having a deep understanding of top-tier data management platforms holds great significance. It informs how your data is precisely managed and is strategically positioned to support innovation.
