Best Data Monetization Platforms with a Free Trial of 2025

*Analysis in a few clicks. You will find 35 pre-configured reports that cover most chain processes. *ML-based reports. Artificial intelligence algorithms help to identify insights faster. *Any Data. Add the metrics that only your business processes need. *Custom metrics builder. Create your formulas for calculating metrics to help you customize your analytics. *Create dashboards. Create, share, and work with visualizations with colleagues. *Control deviations of indicators. The Rules functionality allows you to flexibly configure and receive notifications about deviations from the planned values. *Analytics in a mobile phone. The Store Manager app allows chain top management, store managers, and supervisors to track important business indicators. *Convenient user management. Add an unlimited number of users with access to selected information only. Set up data display restrictions for colleagues according to their position. *Data monetization. Earn up to 2.5% of additional revenue by selling analytical data to suppliers.

Snowflake is a cloud-native data platform that combines data warehousing, data lakes, and data sharing into a single solution. By offering elastic scalability and automatic scaling, Snowflake enables businesses to handle vast amounts of data while maintaining high performance at low cost. The platform's architecture allows users to separate storage and compute, offering flexibility in managing workloads. Snowflake supports real-time data sharing and integrates seamlessly with other analytics tools, enabling teams to collaborate and gain insights from their data more efficiently. Its secure, multi-cloud architecture makes it a strong choice for enterprises looking to leverage data at scale.

ThinkData Works provides a robust catalog platform for discovering, managing, and sharing data from both internal and external sources. Enrichment solutions combine partner data with your existing datasets to produce uniquely valuable assets that can be shared across your entire organization. The ThinkData Works platform and enrichment solutions make data teams more efficient, improve project outcomes, replace multiple existing tech solutions, and provide you with a competitive advantage.

Generate data products swiftly from various sources without the need to relocate the data, making them accessible to everyone while retaining full oversight. Deliver impactful experiences that reveal value, while simultaneously enhancing your data mesh through effortless sharing, discovery, and governance across various domains. Encourage collaboration and speed up innovation by providing unified access to top-notch data products. Offer regulated access to AI models for every user, ensuring control over how data interacts with AI to protect intellectual property. Streamline AI workflows to quickly incorporate and refine new functionalities. Access and create data products directly from Snowflake without the hassle of data movement. Enjoy the simplicity of maximizing your data's potential, making it accessible for analysis and eliminating the necessity for centralized infrastructure and tools. Data products seamlessly integrate with various tools to uphold governance and expedite results, fostering a more efficient data environment. Thus, the approach not only enhances collaboration but also empowers users to leverage data more effectively.

Discover, access, and engage with your data effortlessly. Ensure that users can swiftly locate the data they require through an intuitive, AI-enhanced gallery showcasing all available data within your business. This platform is tailored to democratize access to data throughout your organization, providing a smooth online shopping-like experience for users looking to explore, assess, and act upon various data assets spread across the enterprise. By enhancing the discoverability of data products through organized domains, tagging, and classification, users can easily find what they need. Furthermore, the process of taking action is made simpler, as consumers can utilize existing business intelligence and analytics tools, or interact with data using natural language processing. Additionally, it's crucial to maintain control over data access within the organization, allowing for role-based permission settings for data products and facilitating the quick approval of access requests. In this way, your organization can foster a culture of data-driven decision-making while ensuring security and accessibility.

The Telekom Data Intelligence Hub empowers organizations to securely and reliably share, process, and analyze their data while maintaining data sovereignty. It includes a variety of services such as consultations for dataspaces and solutions for data mesh, in addition to products aimed at facilitating data exchange, integrating data flows, constructing dataspaces, creating applications, and validating organizations and services to derive actionable insights. Notable ecosystems within this framework include Catena-X, which is targeted at the automotive, manufacturing, and smart mobility sectors. The platform prioritizes trustworthy data sharing through the independent and secure global network of Deutsche Telekom, offering user-friendly products that allow for rapid onboarding and smooth integration. Furthermore, it accommodates cloud-agnostic connections, enabling operation on any cloud platform or on-premises infrastructure, thereby guaranteeing comprehensive data protection throughout the entire process. This versatility makes it an ideal solution for organizations aiming to harness the power of their data effectively.

The Databricks Data Intelligence Platform empowers every member of your organization to leverage data and artificial intelligence effectively. Constructed on a lakehouse architecture, it establishes a cohesive and transparent foundation for all aspects of data management and governance, enhanced by a Data Intelligence Engine that recognizes the distinct characteristics of your data. Companies that excel across various sectors will be those that harness the power of data and AI. Covering everything from ETL processes to data warehousing and generative AI, Databricks facilitates the streamlining and acceleration of your data and AI objectives. By merging generative AI with the integrative advantages of a lakehouse, Databricks fuels a Data Intelligence Engine that comprehends the specific semantics of your data. This functionality enables the platform to optimize performance automatically and manage infrastructure in a manner tailored to your organization's needs. Additionally, the Data Intelligence Engine is designed to grasp the unique language of your enterprise, making the search and exploration of new data as straightforward as posing a question to a colleague, thus fostering collaboration and efficiency. Ultimately, this innovative approach transforms the way organizations interact with their data, driving better decision-making and insights.