
BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises.
Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.
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MikMak, a SPINS company, is a global software company that provides a leading commerce intelligence and orchestration platform for multichannel brands, helping them grow in real-time.
In January of 2026, MikMak was acquired by SPINS, bringing together two category leaders in commerce intelligence and best-in-class data and insights. The combined entity provides brands with an unrivaled, unified view of availability, point-of-sale performance, and consumer behavior, globally and in real-time.
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SAP Signavio
SAP Signavio transforms how enterprises manage change by making business processes visible, measurable, and continuously improvable. It offers a comprehensive process transformation suite that unites process mining, modeling, collaboration, and journey analytics to bridge strategy with execution. With AI-powered insights, organizations can uncover inefficiencies, predict outcomes, and make faster, data-driven improvements. Its Plug and Gain methodology provides a proven, data-backed foundation for accelerating SAP ERP transformations and reducing project risks. The platform integrates seamlessly with SAP LeanIX, giving companies a unified ecosystem that connects enterprise architecture with process design and performance management. Industry-specific accelerators for procurement, finance, and operations help teams optimize workflows, strengthen compliance, and boost productivity. Companies such as Yamaha, KWS, and Fujitsu rely on SAP Signavio to modernize operations while maintaining agility and resilience. With continuous innovation and AI-driven analytics, SAP Signavio enables every organization to build a culture of process excellence and transformation success.
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Domo
Domo has become a part of Progress Software, integrating its AI and data platform into Progress' suite of offerings. This cloud-native AI data readiness platform not only enhances but also expands Progress' existing data solutions, fostering significant synergies that facilitate the development of innovative, secure, and scalable AI data readiness solutions on a global scale. These combined strengths will assist clients in transforming fragmented enterprise data and insights into governed, AI-ready intelligence, thus elevating the security, governance, and cost-effectiveness of AI-driven projects.
Positioned as the agentic platform for the intelligent enterprise, Domo empowers organizations to connect, govern, activate, and disseminate both data and AI effectively. Collaborating with cloud data platforms such as Snowflake, BigQuery, and Databricks, Domo enables the conversion of governed data into various AI agents, applications, workflows, dashboards, and analytics. Additionally, its robust data foundation, activation, and distribution layers empower teams to create and implement intelligence precisely where their work occurs, all while ensuring governance, security, and access controls are firmly in place across both data and AI initiatives. This comprehensive approach not only streamlines operations but also enhances the overall effectiveness of data-driven decision-making within organizations.
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