Top 10 OpenText Analytics Cloud Alternatives & Competitors

Explore the best alternatives to OpenText Analytics Cloud for users who need new software features or want to try different solutions. Analytics Platforms is a widely used technology, and many people are seeking reliable, productive software solutions with data discovery, predictive analytics, and search. Other important factors to consider when researching alternatives to OpenText Analytics Cloud include ease of use and reliability. The best overall OpenText Analytics Cloud alternative is Tableau. Other similar apps like OpenText Analytics Cloud are Looker, Microsoft Power BI, Sisense, and Domo. OpenText Analytics Cloud alternatives can be found in Analytics Platforms but may also be in Embedded Business Intelligence Software or Big Data Processing And Distribution Systems.

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Best Paid & Free Alternatives to OpenText Analytics Cloud

Tableau
Looker
Microsoft Power BI
Sisense
Domo
Qlik Sense
SAP Analytics Cloud
Amazon QuickSight

Top 10 Alternatives to OpenText Analytics Cloud Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how OpenText Analytics Cloud stacks up to the competition and find the best product for your business.

Tableau

By Salesforce

4.4/5

(3,417)

Product Description

Categories in common with OpenText Analytics Cloud:

By Google

Product Description

Categories in common with OpenText Analytics Cloud:

By Microsoft

Product Description

Power BI Desktop is part of the Power BI product suite. Use Power BI Desktop to create and distribute BI content. To monitor key data and share dashboards and reports, use the Power BI web service. To view and interact with your data on any mobile device, get the Power BI Mobile app on the AppStore, Google Play or the Microsoft Store. To embed stunning, fully interactive reports and visuals into your applications use Power BI Embedded

Categories in common with OpenText Analytics Cloud:

Analytics Platforms

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Domo

By Domo

4.3/5

(939)

Product Description

Domo is a cloud-native data experience platform that empowers organizations to connect, visualize, and analyze data from diverse sources in real-time. Designed for both technical and non-technical users, Domo facilitates data-driven decision-making across all levels of an organization by providing intuitive dashboards, AI-powered insights, and customizable visualizations. Its scalable architecture ensures seamless integration with existing cloud and on-premise systems, enabling businesses to optimize processes and drive actionable outcomes efficiently. Key Features and Functionality: - Data Integration: Connects with over 1,000 pre-built connectors, allowing seamless access to various data systems, including CRM, ERP, and cloud databases. - Business Intelligence & Analytics: Offers intuitive tools for creating dynamic dashboards, reports, and visualizations, making complex analytics accessible to all teams. - AI and Predictive Insights: Leverages machine learning capabilities to provide predictive analytics and actionable recommendations based on real-time data. - App Creation: Enables the development of custom, low-code, and pro-code business applications that automate processes and streamline decision-making. - Security & Governance: Provides robust data governance tools, including personalized data permissions, custom user roles, and compliance with standards like GDPR and HIPAA. Primary Value and Solutions: Domo addresses the challenge of fragmented data by unifying information from multiple sources into a single platform, enabling organizations to gain comprehensive insights and make informed decisions swiftly. Its user-friendly interface democratizes data access, allowing teams to collaborate effectively using real-time information. By integrating AI-powered analytics and customizable applications, Domo helps businesses optimize operations, identify trends, and drive growth, all while maintaining stringent security and governance standards.

Categories in common with OpenText Analytics Cloud:

Analytics Platforms