Data
Top 10 Data as a Service Companies in 2025
Data fuels generative AI and enterprise innovation. Data as a Service (DaaS) is a cloud computing model that provides data on demand to users, usually on a subscription basis. This streamlines data collection and management.
Data Transformation: Challenges & Real-life examples ['25]
Data is the cornerstone in many sectors, underpinning decision-making processes in business, government, health, and more. The advent of generative AI has heightened the importance of data and its various applications. Organizations must understand and proficiently implement data transformation processes to unlock the full potential of it.
7 Master Data Management Use Cases in 2025
In this article, we explain 7 master data management use cases. Master data management has been frequently searched since the 2020s.
7 Key Data Fabric Use Cases in 2025
In this article, we explain 7 key data fabric use cases such as data integartion, data analytics, data governance, and data virtualization.
Top 10 Training Data Platforms in 2025
Data is an essential part of the quality of machine learning models. Supervised AI/ML models require high-quality data to make accurate predictions. Training data platform tools ensure effective use of data processing from start to finish of ML deployment.
Data Commercialization: Risks and Best Practices in 2025
Companies in every industry use data to create value and manage data as an asset. They collect and analyze huge amounts of data coming from various sources. The increasing availability of data enables businesses to make real-time decisions.
Data Versioning: Top 3 Benefits & Best Practices in 2025
Companies rely on AI/ML models to make business decisions. Effective AI/ML models require high-quality data to make accurate predictions about future conditions. That’s why data is called the new oil for which successful companies need their own refinery.
Data Curation in 2025: Key Concepts and Best Practices
Data curation is an important part of data management. Data curation is the process of collecting, wrangling and preserving data. It allows companies to store sustainable and accessible data to share and apply self-service analytics. Data-driven insights are crucial as data-driven sales strategies enable companies improve their sales productivity by 20 %.