Infor Birst vs Domo Everywhere

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Our analysts compared Infor Birst vs Domo Everywhere based on data from our 400+ point analysis of Embedded Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.

Infor Birst Software Tool
Domo Everywhere Software Tool

Product Basics

Infor Birst is a cloud-based analytics software tool that aims to help users discover insights without the need for analyst input. It unifies IT-managed enterprise data with user-owned data, supporting the blending of both in a top-down and bottom-up manner. It uses consistent business metrics to structure raw data into organized sets and visualizations. It helps users identify patterns and better understand their organization’s KPIs.

It offers a seamless, integrated UI that allows users to perform every step of the data analysis process in a single interface, enabling a smooth experience. It can be deployed either from the cloud or self-hosted on-premise.

Users can purchase it in three available formats: per-user fee, by department or business unit or by end-customer in embedded scenarios.

To explore other popular solutions that Infor offers, visit our Infor company page.
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Domo Everywhere empowers organizations to share data insights seamlessly within their own applications and platforms. Imagine integrating interactive dashboards and reports directly into customer portals, partner dashboards, or employee applications. This fosters data-driven collaboration and empowers non-technical users to explore and utilize key information without leaving their familiar environment. Domo Everywhere shines for companies with extensive data assets and complex ecosystems. Its strengths lie in its robust security and access controls, ensuring granular data sharing with external users. Additionally, its focus on user experience and customization allows seamless integration and branding within existing platforms. Popular features include pre-built templates for various use cases, dynamic data refreshes, and interactive filtering options. Users praise Domo Everywhere's ease of use, intuitive interface, and ability to democratize data access. Pricing is based on the number of embedded users and ranges from per-user monthly fees to custom enterprise packages. While Domo Everywhere might not be the most budget-friendly option for small businesses, its scalability and advanced features make it a compelling choice for larger organizations seeking a comprehensive embedded analytics solution.

Pros
  • Easy integration
  • Data visualization
  • Real-time insights
  • User-friendly interface
  • Mobile accessibility
Cons
  • Limited customization
  • Pricing can be high
  • Scalability concerns
  • Limited offline access
  • Some data sources tricky
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$2,500 Monthly, Quote-based
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$3,000 Monthly
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Product Assistance

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Product Insights

  • Scalability on Demand: Prevents data bottlenecks caused by data loads that exceed capacity as business grows by scaling as needed through a multi-tenant architecture across a multi-node environment.
  • Faster Results: Delivers faster analytics across the entire organization by utilizing automated data analysis technology, cloud architecture and reusable metadata.
  • Data Clarity: Promote data clarity and reduce ambiguity by offering unique views into data to help everyone, regardless of technical expertise. Better understand the meaning of individual KPIs via the semantic layer, a set of shared business definitions.
  • Self-Service: Gives employees at all levels of technical skill self-service tools, such as drag-and-drop, to explore, analyze and visualize data through the user-oriented UX.
  • Informed Decisions: Make more data-driven business decisions by better understanding operations. Identify trends in business data by collecting, organizing, exploring and visualizing data.
  • Predict Future Outcomes: Generate actionable insights by leveraging AI to analyze historical data and improve business moving forward.
  • Intuitive Visualizations: Easily interpret trends by cleaning data and building understandable visualizations through machine learning.
  • Networked BI: Builds collective intelligence. Combines IT-managed enterprise data with user-generated data and eliminates data silos, unifying data from every part of an organization.
  • Certified Security: Secures data at every degree of detail, down to the row and column level. Employs strict data security protocols and procedures to protect data in  processes and data centers, which are certified for ISO27001 and SOC II, TYPE II standards and compliant with EU Safe Harbor laws.
  • Free Trial: Try it hands-on via a free trial.
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  • Boost data accessibility and democratize insights: Empower everyone with self-service analytics through an intuitive interface and drag-and-drop functionality.
  • Unify data from disparate sources: Break down data silos and gain a holistic view of your business with seamless integration of internal and external data.
  • Drive faster decision-making with real-time visibility: Monitor key metrics and identify trends instantly with live dashboards and automated alerts.
  • Enhance collaboration and communication: Foster data-driven discussions and share insights easily with colleagues and stakeholders.
  • Scale your analytics efforts effortlessly: Adapt to your evolving needs with a flexible and scalable platform that grows with your business.
  • Improve data governance and security: Ensure data accuracy and compliance with robust security features and access controls.
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  • Automated Data Refinement: Automatically merge data from different sources into one user-ready data storage and optimize it for analysis. 
  • Semantic Layer: Boosts trustworthiness of data and reduces data anarchy by adding an agile semantic layer between the user and data. Work with data privately while staying connected to the network via a virtual tenant space.">
  • Real-time Access: Directly query on-premise data sources in real-time, eliminating the need to first extract and then upload data to the cloud.
  • Adaptive UX: Create reports and dashboards without coding knowledge via intuitive drag-and-drop tools. Supports different analytic styles, such as visual discovery, and mobile, and third-party tools such as Excel, R and Tableau. 
  • Reusable Rules: Automatically generates a common architecture based on a reusable set of business definitions without manual intervention.
  • Interactive Dashboards: Explore data even further via interactive dashboards that have drill-down capabilities such as lasso filters.
  • Multi-Tenant Cloud Architecture: Scales vertically and horizontally with a multi-tenant architecture built on a multi-node environment. Speeds insight generation by reducing the overall time spent on repetitive on-premise tasks. 
  • One-Click Data Connectivity: Access existing data with one click via its extensive library of pre-built connectors.
  • Embedded Analytics: Scale with clients’ businesses via flexible deployment options including embedding, APIs and localization capabilities.
  • Machine Learning: Recognizes patterns in data via Smart Analytics and automatically builds visualizations based on predictive analytics. Learns over time, and remembers previous search queries, past visualizations and more.
  • Deployment Options: Deploy as a SaaS through the cloud or go hybrid, keeping data in-house but running analytics through cloud-based servers. Or, deploy through a virtual appliance that delivers all the benefits of a traditional cloud-hosted SaaS while being locally hosted on-premise or in a private-cloud.
  • Mobile App: Access reports and dashboards via its native mobile application for iOS and Android.
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  • Data Visualization: Create intuitive visualizations using different chart types, including line, filter, bar, area, stacked bar charts, gauges, maps and more. Add tooltips and apply page-level filters to gauge insights. Create multi-period projections to convey predicted changes.  
  • Data Transformation: Leverage a drag-and-drop interface to pull data from multiple sources, process and transform it. Leverage Magic ETL to schedule data pipelines, map values from one column to another and add, combine or split columns in the dataset. Use SQL-based ETL to build and automate complex data pipelines. 
  • Automated Data Discovery: Receive AI-powered data insights through deep learning and a descriptive stats module. Ask questions in natural language and get instant responses via chatbots. Create custom alerts to define thresholds, monitor information and track key changes.  
  • Data Governance: Create entitlement policies and manage custom roles to grant data access to authorized groups and individuals. Develop workflows that enable content owners to certify content as authentic and trusted. Formulate standards based on user attributes rather than individuals. 
  • Embedded Analytics: Prescribe chart-specific interactions to allow users to filter content, drill down into specific details and link to other elements. Offer personalized data access to enable users to view relevant information. Create robust paths to dive deeper into complex hierarchical data. 
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Product Ranking

#12

among all
Embedded Analytics Tools

#36

among all
Embedded Analytics Tools

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Analyst Rating Summary

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Embedded Reporting
Security
Mobile Capabilities
Data Management
Embedded Analytics
Embeddability
Embedded Data Visualization
Integrations and Extensibility
Data Management
Embedded Analytics

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Infor Birst
Domo Everywhere
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Data Management Embeddability Embedded Analytics Embedded Data Visualization Embedded Reporting Mobile Capabilities Platform Capabilities 85 79 85 83 97 92 80 85 94 85 91 85 85 80 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

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User Sentiment Summary

Great User Sentiment 560 reviews
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82%
of users recommend this product

Infor Birst has a 'great' User Satisfaction Rating of 82% when considering 560 user reviews from 6 recognized software review sites.

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4.3 (7)
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3.9 (92)
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4.08 (49)
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4.1 (50)
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4.1 (176)
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Synopsis of User Ratings and Reviews

Data Integration: About 80% of users who mentioned its data integration capabilities said that the platform, powered by built-in connectivity tools, connected well to many types of data sources.
Data Visualization: Approximately 81% of users who reviewed visualization said that the tool provided attractive and intuitive data presentation options for at-a-glance data analysis and trend charting.
Ease of Use: The platform was user-friendly and intuitive, according to around 77% of users who reviewed the interface.
Functionality: Approximately 68% of users who reviewed functionality said that the platform provided strong capabilities to streamline preparation and consumption of data for developers and end users alike.
Data Management: Automated data warehouse creation made data modeling a breeze, around 65% of users who reviewed the platform’s data management system said.
Setup: Around 69% of users who mentioned implementation said that the solution being cloud-based, coupled with excellent onboarding support from the vendor, made deployment easy.
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Empower non-technical users: Drag-and-drop interface and visual storytelling tools let anyone explore data without coding.
Break down data silos: Unify internal and external data sources for a holistic view with 1,000+ pre-built connectors.
Real-time insights and alerts: Monitor key metrics and identify trends instantly with live dashboards, driving faster decision-making.
Enhanced collaboration: Share dashboards and insights easily, fostering data-driven discussions and alignment across teams.
Scalability and flexibility: Adapt to your evolving needs with a cloud-based platform that grows with your data volume and user base.
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Performance: Approximately 87% of users who reviewed the platform’s performance said that it was slow and inconsistent in data processing and data refresh.
Learning Curve: About 81% of users who mentioned the learning curve said that documentation was often insufficient and incorrect, and that the platform’s use of proprietary language made the learning curve quite steep.
Service and Support: About 46% of users who reviewed this feature said that support was poor and turnaround times were painfully long, extending up to several months.
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Steep learning curve for advanced features: Custom visualizations and scripting require technical expertise beyond basic data exploration.
Limited offline functionality: Data access and analysis primarily relies on internet connectivity, with some offline capabilities still under development.
Pricing for complex needs: While base costs are reasonable, advanced features and high data volumes can significantly increase the price tag.
Data transformation limitations: Magic ETL simplifies basic processing, but complex data manipulation may require additional tools or coding.
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Infor Birst is an integrated cloud-based end-to-end solution for sourcing raw data, and extracting, warehousing and reporting for enterprise data analysis. With built-in tools for data integration and strong embedded analytics capabilities, users leverage its data visualization capabilities to create and share metric-specific dashboards and reports. Users who reviewed data management said that automated data warehouse creation was a strong feature of the platform, as well as its user-friendly interface. Many users who reviewed its functionality said that, equipped with a powerful ETL and efficient ODBC drivers for integration, the platform was flexible and scalable with a multitude of features for data discovery and analysis. Around 69% of users who reviewed ease of implementation said that deployment was easy with the integrated cloud platform, though some users said that the setup processes were unclear and they required in-house IT support for onboarding. On the flip side, users who mentioned performance said that the speed of data processing and data refresh was slow and this impacted report generation capabilities. Documentation was inconsistent and often incorrect, and the use of proprietary query language made the learning curve quite steep, many users who reviewed this feature said. Support turnaround times were woefully long, even extending up to several months as reported by a number of users. Some users who reviewed functionality said that the code was buggy and the platform stalled often when processing data for ad-hoc reporting. Many users complained that these bugs were not addressed for years, and new releases often impacted pre-existing features. Possibly because of its performance issues with large amounts of data, quite a few users rate it as a good BI tool for small and midsize companies that require less complex data analysis, rather than larger enterprises. In summary, Infor Birst is a BI ecosystem with a networked approach to data visualization and predictive analytics that eliminates data silos and serves as a single source of truth for enterprise data.

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For users with typical embedded analytics needs, Domo Everywhere presents a mixed bag. Fans rave about its ease of use and visual storytelling tools, enabling anyone to explore data without coding - "Like having a personal data chef," gushed one reviewer. Its ability to unify data from various sources is another major pull, breaking down silos and offering "a single source of truth" for complex operations. However, Domo isn't without its detractors. Some find the learning curve for advanced features like custom visualizations "steeper than a Matterhorn climb," requiring technical expertise beyond basic analysis. Concerns also linger about its offline capabilities, with internet connectivity still crucial for most functionalities - "a deal-breaker for field teams," noted another user. While pricing starts reasonably, advanced features and high data volumes can quickly inflate costs, making some feel Domo becomes "pricey for its complexity" compared to alternatives like Looker or Tableau. Ultimately, Domo Everywhere shines for its intuitiveness and data unification, empowering non-technical users with valuable insights. However, its limitations in offline access, advanced features, and potential cost escalation leave some users yearning for a more well-rounded package. As one reviewer put it, "Domo is like a Ferrari: powerful and flashy, but not everyone needs a race car for their daily commute." So, if your embedded analytics needs prioritize accessibility and a holistic view, Domo could be your champion. But for those needing robust offline functionality, advanced customization, or a more budget-friendly option, exploring other contenders might be the wiser route.

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