Taming the Data Sprawl: Strategies for Managing and Controlling Data Proliferation


Thursday, May 16th, 12:15

In the era of big data, organizations face a common challenge: data sprawl. As data sources multiply and datasets grow, maintaining control over data becomes increasingly complex. This session will explore the causes and consequences of data sprawl and provide practical strategies for managing, organizing, and reigning in data proliferation. Join us to discover how to turn chaos into order, ensuring data remains an asset, not a liability.


Key Points:

  • Defining data sprawl and its impact on organizations.
  • Identifying the factors contributing to data proliferation.
  • Recognizing the risks and inefficiencies associated with unmanaged data.


Building a Strong Data Foundation:

  • Establishing data governance principles and policies.
  • Crafting a data catalog: cataloging, classifying, and tagging data assets.


Understanding data lineage for better data tracking and management.


Data Lifecycle Management:

  • Navigating the lifecycle of data from creation to archiving.
  • Implementing retention policies and data expiration.
  • Optimizing storage and access for frequently used and archival data.


Data Sprawl in the Cloud:

  • Managing data sprawl challenges in cloud environments.
  • Leveraging cloud-native tools for data governance and management.
  • Strategies for monitoring, securing, and controlling data in the cloud.


Automation and Tools for Data Control:

  • Harnessing automation to maintain data quality and consistency.
  • Exploring data management tools and platforms.
  • Data discovery and classification tools to locate and organize scattered data.


Cultural Shift:

Data Ownership and Accountability:

  • Fostering a culture of responsible data ownership.
  • Empowering data stewards and data custodians.
  • Collaboration between IT, business units, and data owners.


Data Sprawl Case Studies:

Real-world examples of organizations successfully managing data sprawl.

Lessons learned from addressing data sprawl challenges. Demonstrating the benefits of controlled data environments. Attendees will leave this session equipped with actionable insights and strategies to curb data sprawl, improve data quality, enhance security, and foster better decision-making across the organization.