Datorama vs Infor Birst

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

Datorama Software Tool
Infor Birst Software Tool

Product Basics

Datorama, a Salesforce business intelligence platform, helps businesses manage and analyze their data. It provides a unified view of data from various sources, including on-premises, cloud-based, and third-party platforms. Datorama is ideal for businesses seeking to enhance their data management and analytics capabilities, particularly those interested in leveraging predictive analytics for improved decision-making.

Key benefits include a comprehensive view of data sources, user-friendly dashboards and reports, predictive analytics functionalities, and integration with other business applications. Datorama's pricing is based on a per-user model, with annual costs starting at $1,000. User experiences suggest that Datorama offers robust data management and analytics capabilities, but some users have noted a steeper learning curve compared to similar products.

***Disclaimer: Pricing and features may change over time. Please refer to the official Salesforce website or other reliable sources for the most up-to-date information.***

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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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$3,000 Monthly
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$2,500 Monthly, Quote-based
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Product Insights

  • Single Cohesive Data Warehouse: Draws data from different sources and marketing channels into a single source. This dynamic landing zone applies machine-learning algorithms to the data in order to blend, clean, analyze and visualize it. 
  • Quick Insights: Automated insights take real-time data and generate quick, accurate visualizations to help users draw insights into their business data and trends. 
  • End-to-End Platform: From unstructured data source to intuitive visualization, this system does every step in a smooth interface to promote usability and an efficient workflow. 
  • Data Accessibility: Users of all technical abilities have access to their data via self-service BI. They no longer have to wait for analysis from a data scientist before they can start drawing insights from business data. 
  • Cross-Channel Visibility: Draws data from a variety of sources and blends them seamlessly to give users a smooth experience to explore data. Some of these channels include sales data, CRM data, social media, data warehouses and more. 
  • Actionable Insights: Analyze data to identify trends and patterns, and use it to make predictions, get better insight into business operations and glean actionable insights. 
  • Better Business Decisions: Decisions made based on general data are good, but decisions made based on historical proprietary data trends are much better. BI tools help users make data-driven business decisions and informed predictions, so they can always feel confident in their choices. 
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  • 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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  • Reports: Generate a variety of ad-hoc or custom report types to answer specific business questions. 
  • Dashboards: Intuitive dashboards make it easy to create, edit, explore and share data visualizations and reports. 
  • Data Modeling: This feature connects and blends data from a variety of sources into a single data warehouse that is easily accessible by users. 
  • API Library: An extensive library of marketing APIs allow users to access and make changes to their applications and data. These create an ad tech and martech ecosystem that lets users plug data from any connected source directly into a visualization. 
  • Data Integration: TotalConnect powers limitless integration through machine learning artificial intelligence. Cleans and structures data in addition to scheduling automated updates to ensure data is always up to date. 
  • Custom KPIs: Custom fields and classifications allow users to query the exact information they need rather than relying on out-of-the-box options. 
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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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Product Ranking

#35

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#22

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User Sentiment Summary

Great User Sentiment 156 reviews
Great User Sentiment 560 reviews
85%
of users recommend this product

Datorama has a 'great' User Satisfaction Rating of 85% when considering 156 user reviews from 5 recognized software review sites.

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)
4.3 (89)
3.9 (92)
4.36 (22)
4.08 (49)
4.6 (16)
4.1 (50)
4.6 (9)
4.1 (176)
3.5 (20)
4.2 (186)

Synopsis of User Ratings and Reviews

Dashboard: It offers a flexible and highly customizable dashboard, as noted by more than 89% of reviewers who mention dashboards.
Easy Integration: It integrates easily with multiple platforms, as observed by 75% of the users specifying integration.
Customer Support: It has responsive and receptive customer support, as stated by 75% of reviewers who refer to customer support.
Automated Reporting: All users that mentioned reports noted that it provides automated in-depth reporting functionality.
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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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Learning Curve: It has a steep learning curve for beginners, as stated by 100% of reviewers who referred to a learning curve.
Software Setup: Around 50% of the users who specify setup report that the software setup process is cumbersome.
Slow Performance: Platform performance can become slow sometimes, as observed by all the reviewers who spoke about performance.
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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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Datorama is an AI-powered marketing intelligence company that helps its users make smarter business decisions by connecting and working on their KPIs and marketing data. Its flexible and highly customizable dashboard can improve customer experiences, but slow performance can hinder productivity. It provides automated reporting and easy integration capabilities with multiple platforms. Many users have noted that the setup process is cumbersome, and it involves a steep learning curve for new users. Nevertheless, its receptive and responsive customer support has helped reviewers solve multiple issues.

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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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