Better data maturity with data liberation
Author:
Olav Gjerde
Date:
21.08.2023
Last updated:
27.02.2026
The majority of today's enterprise data is difficult to connect, collaborate on, and control at scale. Data sets are tied to specific applications and bound to third-party vendors. Traditional methods of data storage inadvertently neglects the process of efficient retrieval, resulting in vast troves of potentially valuable data being lost and left to deteriorate in a data silo.
What is Data Liberation?
Data is a vital asset for driving efficiency, innovation, and growth. Many businesses struggle with siloed data, no data collaboration and cannot automate processes. A data platform serves as the ultimate toolkit for data liberation, enabling seamless integration and tracking of data quality across teams, systems, and tools.
By unifying data in a single data platform, businesses gain the foundation needed for developing AI solutions. A data platform simplifies the collection, cleaning, and management of training data, ensuring it is high-quality and consistent. This enables predictive maintenance, process optimization, and forecasting. Additionally, centralized data governance ensures compliance and security, while fostering cross-functional collaboration that fuels innovation.
Businesses that adopt this technology will streamline operations, unlock the potential of machine learning, and position themselves for growth in an evolving market.