Data
Data is the fundamental resource that powers business operations and drives strategic decisions. We cover modern data practices, including data as a service (DaaS) for companies, data transformation challenges, and data management use cases. Our coverage also includes training data platforms, best practices for data commercialization and versioning, and the critical role of data curation.
Amazon Dataset Comparison 2026: Bright Data, Oxylabs, Grepsr & Exellius
Bright Data and Oxylabs’ Amazon datasets are recognized as market leaders due to their scalable product archives. The industry has diversified into specialized niches. Exellius provides verified decision-maker contacts for B2B sales outreach, offering capabilities that exceed those of standard scrapers. Grepsr delivers a managed service focused on historical trend analysis.
Top +10 Data as a Service Companies
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.
Top 13 Training Data Platforms in 2026
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 platforms streamline data preparation from collection to annotation, ensuring high-quality inputs for AI systems.
Compare Top 20 Test Data Management Tools in 2026
Test data management tools (TDM) ensure quick delivery of high-quality test datasets to development environments, supporting the shift to agile DevOps methodologies.
Data Transformation: Challenges & Real-life examples ['26]
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.
Data Curation in 2026: 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 %.
Data Commercialization: Risks and Best Practices in 2026
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.