Best Agentic Data Management Platforms for Microsoft Excel

SCIKIQ is an innovative platform designed for AI-driven Agentic Data Management, which revolutionizes how organizations handle their data by converting it into governed, reusable, and AI-compatible Data Products. At its foundation lies the SCIKIQ Data Product Factory and Data Marketplace, which are essential for implementing a Data-as-a-Product approach throughout the organization. The Data Product Factory empowers teams and AI agents to identify, create, manage, enhance, and distribute Data Products using reliable enterprise data, contextual business insights, semantics, quality assurance, and lineage tracking. The SCIKIQ Data Marketplace serves as a hub for both internal and external stakeholders to explore, share, utilize, and monetize a variety of Data Products, datasets, APIs, KPIs, analytics, and assets ready for AI applications. Notable features include Agentic Data Management, Data Products, the Data Product Factory, the Data Marketplace, Data-as-a-Product methodology, Data Mesh framework, Self-Service Data capabilities, Data Cataloging, Data Governance, Data Quality monitoring, Data Lineage tracking, Data Semantics, APIs, and AI Agents. Transitioning from unrefined enterprise data to well-governed Data Products—crafted for Analytics and Generative AI applications—is at the heart of SCIKIQ’s mission.

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.

Astera Centerprise offers an all-encompassing on-premise data integration platform that simplifies the processes of extracting, transforming, profiling, cleansing, and integrating data from various sources within a user-friendly drag-and-drop interface. Tailored for the complex data integration requirements of large enterprises, it is employed by numerous Fortune 500 firms, including notable names like Wells Fargo, Xerox, and HP. By leveraging features such as process orchestration, automated workflows, job scheduling, and immediate data preview, businesses can efficiently obtain precise and unified data to support their daily decision-making at a pace that meets the demands of the modern business landscape. Additionally, it empowers organizations to streamline their data operations without the need for extensive coding expertise, making it accessible to a broader range of users.

Kana is an innovative marketing platform that empowers teams to convert disjointed marketing data into timely decisions and quantifiable business results. By integrating data throughout the marketing landscape, it consolidates information that is typically scattered across various tools and uncovers emerging patterns, risks, behavioral cues, and opportunities. The platform provides recommendations and implements next-best actions, eliminating the need for manual speculations with decisions grounded in data aimed at enhancing performance. Serving as a marketing operating layer, Kana interfaces with email services, advertising platforms, CRMs, spreadsheets, and other software, utilizing AI agents to synchronize data and actions seamlessly. Unlike traditional generative AI that merely responds to user queries, its agents are designed to pursue objectives, orchestrate complex workflows, analyze signals in real-time, and carry out actions throughout the marketing infrastructure, thus enabling a more cohesive and efficient marketing strategy. This holistic approach ensures that teams can navigate their marketing efforts with greater agility and insight.