Infor Birst vs Bold BI

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Our analysts compared Infor Birst vs Bold BI 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

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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Bold BI is an analytics platform with advanced embedded analytics. It consists of a web designer, viewer and widgets to perform operations without writing code. Leverage an interactive designer to build custom dashboards, pull metrics and visualize KPIs. Configure data connections and customize widget appearance with a drag-and-drop interface.

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$2,500 Monthly, Quote-based
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Tailored to your specific needs
$495 Monthly
Get a free price quote
Tailored to your specific needs
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Product Assistance

Documentation
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Live Online
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FAQ
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Knowledge Base
24/7 Live Support
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24/7 Live Support

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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  • Improved Decision-Making: Access to real-time data and analytics enables more informed and timely business decisions.
  • Enhanced User Experience: Seamless integration with existing applications provides a consistent and intuitive user interface.
  • Increased Efficiency: Automated data processing and reporting reduce the time and effort required for manual data handling.
  • Scalability: Easily scale analytics capabilities as your business grows without significant additional investment.
  • Customization: Tailor dashboards and reports to meet specific business needs and preferences, ensuring relevant insights.
  • Data Security: Robust security features protect sensitive information, ensuring compliance with industry standards.
  • Cost Savings: Reduce the need for multiple analytics tools and associated costs by consolidating functionalities into one platform.
  • Collaboration: Share insights and reports easily across teams, fostering a collaborative environment for data-driven strategies.
  • Real-Time Monitoring: Keep track of key performance indicators (KPIs) in real-time, allowing for quick adjustments and proactive management.
  • Actionable Insights: Transform raw data into actionable insights that drive business growth and operational improvements.
  • Integration Capabilities: Connect with various data sources and third-party applications to create a unified analytics ecosystem.
  • Reduced IT Dependency: Empower business users to create and manage their own reports, reducing the burden on IT departments.
  • Flexibility: Adapt to changing business requirements with flexible deployment options, including on-premises and cloud solutions.
  • Performance Optimization: Optimize business processes by identifying bottlenecks and inefficiencies through detailed analytics.
  • Competitive Advantage: Gain a competitive edge by leveraging advanced analytics to uncover market trends and opportunities.
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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 Preparation: Connect to different data sources and perform actions like joins, filters and more to preview data through a visual editor. Add calculated fields at a data source level. 
  • Data Connectivity: Access data from various sources, including relational and NoSQL databases, data warehouses, big data systems, REST API services and more. 
  • Data Visualization: Create intuitive visualizations to uncover trends and patterns. Manipulate and interact with data using filters and parameters. Drill down into data to discover valuable insights. Explore information through built-in data exploration capabilities. 
  • Predictive Analytics: Identify seasonal changes and forecast trends with time series analysis. Recognize business risks and gauge trends using robust predictive models. 
  • Security: Host product information on private data centers or public cloud accounts with robust security measures. Leverage row-level security to filter based on specific criteria. Offer trusted authentication to verify user identity. 
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Product Ranking

#12

among all
Embedded Analytics Tools

#35

among all
Embedded Analytics Tools

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Analyst Rating Summary

86
76
85
49
79
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85
22
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Embedded Reporting
Security
Mobile Capabilities
Data Management
Embedded Analytics
Embedded Data Visualization
Embedded Reporting
Platform Capabilities

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Infor Birst
Bold BI
+ Add Product + Add Product
Data Management Embeddability Embedded Analytics Embedded Data Visualization Embedded Reporting Mobile Capabilities Platform Capabilities 85 79 85 83 97 92 80 49 77 22 98 97 62 90 0 25 50 75 100
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80%
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83%
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

85%
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86%
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User Sentiment Summary

Great User Sentiment 560 reviews
Excellent User Sentiment 10 reviews
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.

94%
of users recommend this product

Bold BI has a 'excellent' User Satisfaction Rating of 94% when considering 10 user reviews from 2 recognized software review sites.

4.3 (7)
n/a
3.9 (92)
n/a
4.08 (49)
4.83 (6)
4.1 (50)
n/a
4.1 (176)
n/a
4.2 (186)
4.5 (4)

Awards

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Bold BI stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

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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Intuitive Interface: Users praise Bold BI's drag-and-drop interface, finding it easy to create dashboards and reports without coding experience. This is particularly helpful for embedding analytics where technical expertise may be limited.
Customization Options: Bold BI offers a high degree of customization, allowing users to tailor the look and feel of dashboards to match their application's branding. This is crucial for embedded analytics, ensuring a seamless user experience.
Extensive Data Connectivity: Users appreciate Bold BI's ability to connect to a wide range of data sources, including databases, spreadsheets, and cloud services. This flexibility is essential for embedded analytics, which often involves integrating data from various sources.
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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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Limited Customization: Users have expressed frustration over the limited ability to customize the look and feel of embedded dashboards, making it challenging to match the branding of their own applications.
Complex Integration: Some users have reported difficulties with the technical aspects of embedding Bold BI, finding the process complex and requiring significant development effort.
Performance Issues: A subset of users have mentioned experiencing performance issues, particularly with larger datasets or complex dashboards, leading to slow loading times and a less than optimal user experience.
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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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Want to make a bold move with your data and know if this is the right solution to accomplish this? User reviews from the last year suggest Bold BI is a solid choice for embedding analytics, but it's not without its quirks. Users praise its drag-and-drop interface and extensive data source compatibility, making dashboard creation a breeze, even for non-techies. They also appreciate the JavaScript SDK, which allows for seamless integration with existing applications. However, some users have voiced concerns about the level of support provided and occasional bugs encountered. What sets Bold BI apart is its modern data architecture, which avoids the use of proprietary cubes, unlike some competitors like Microsoft Power BI. This translates to greater flexibility and control over your data. Users also highlight the platform's scalability and "no-surprises" licensing as major pluses, making it a cost-effective solution for businesses of all sizes. Overall, Bold BI seems best suited for companies looking for a user-friendly embedded analytics platform with robust integration capabilities and a transparent pricing model. However, potential users should be aware of the reported support issues and occasional bugs before taking the plunge.

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