InsightSquared vs Infor Birst

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Our analysts compared InsightSquared 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.

InsightSquared Software Tool
Infor Birst Software Tool

Product Basics

InsightSquared is a sales analytics SaaS platform that builds a path for revenue operations professionals from sales data to sales intelligence, empowering them to make better decisions informed by insights. It helps businesses dig deep into their sales pipelines to thoroughly understand what drives results. With AI-powered forecasting, detailed reporting, complete sales funnel visibility and employee performance tracking, it enables enterprises to track their key metrics and sales growth with precision and strategize for the future with confidence.

Suitable for companies of all sizes, it simplifies the sales process and helps businesses improve ROI and maximize their results. As each offering is customized to fit the client’s needs, pricing and functionality will vary based on the tier of plan and number of components selected.
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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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$65/User, Monthly
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$2,500 Monthly, Quote-based
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Tailored to your specific needs
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Product Assistance

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Knowledge Base
24/7 Live Support
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Product Insights

  • Holistic Visibility: Pinpoint any step in the revenue-generating lifecycle from lead to opportunity to sale. Find answers to questions in one centralized home for data — no need to switch between complicated, often error-filled spreadsheets, CRM reports and BI systems.
  • Ease of Use: Accessible to all, irrespective of technical skill levels, to visualize, explore and discuss insights. Customizable dashboards make the system user-friendly, and the system creates presentation-ready visuals that make it easy to share insights with team members, clients or a board of directors, fostering a culture of data literacy throughout the company.
  • Accelerated Implementation: Deploy and launch within 48 hours without time-consuming data imports or overreliance on IT departments.
  • Add Value to CRM: Improves CRM systems and provides a clear link between metrics and sales processes. Uses the historical data stored in an organization’s CRM to uncover additional insights and expose trends.
  • Conduct Data-Driven Planning: Make more informed decisions with relevant information at the ready, such as which factors and team players drive revenue.
  • Forecast More Accurately: Machine learning algorithms spot missing or outlying data and make predictions that guide decision-making processes. Execute sales more confidently through improved forecast accuracy over time.
  • Teamwork Makes the Dream Work: Boost team morale and create a culture of accountability with individual rep coaching and employee performance tracking that captures metrics such as win rates, sales numbers, quotas and more. Align and unite sales and marketing departments with the power of analytics to strategize more efficiently.
  • Customized Pricing: The vendor’s pricing model is based on what features an organization requires. Pay per package, and flexibly scale up or down as necessary.
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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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  • Data Blending: Pull data from any and all sources to form a 360-degree view of the business. Supports an extensive list of pre-built connectors to complementary applications and can build a custom connector to other applications provided there’s an API.
  • Third-Party Integrations: Gain direct access to sales data without needing to import or manually enter it. Integrates seamlessly with systems like Salesforce, Marketo and Quickbooks.
  • Pre-Built Report Library: Access insights in a variety of ways with more than 400 off-the-shelf reports.
  • Insight Feed: View highlighted opportunities, alerts and more — get a near real-time view of key metrics through customizable dashboards. Acquire a quick at-a-glance look into the next steps to take at any given moment.
  • Sales Analytics: Integrate with a CRM solution for complete pipeline analysis. Identify trends segmenting and filter pre-built pivot tables.
  • Sales Forecasting: Make better sales decisions across the company with more accurate predictions. Automate and streamline forecasts. Understand the gap between target and goal by slicing and dicing by region, line of business, product, sales period, or any other segment. 
  • Pipeline Management: Gain insight into the entire customer journey; explore key activities, behaviors and results from every step of the sales process.  
  • Activity Capture: Automatically syncs key sales activity and engagement to a CRM. Capitalize on opportunities to drive results without the burden of manual data entry.
  • Guided Selling: Coaches sales representatives on best practices and key steps in the company’s sales process. Enables faster onboarding, more relevant guidance and greater accountability all through machine learning.
  • Marketing Analytics: Measure the success of the marketing campaigns — gain visibility into conversion rates, marketing-generated demand and how marketing contributes to the business’ bottom line.
  • Employee Activity Dashboard and Scorecard: Measure productivity and efficiency as well as track progress on goals with comprehensive, detailed activity dashboards and scorecards for each employee. 
  • SaaS Reporting: Gives SaaS businesses access to simplified revenue reporting and sales intelligence. Measure monthly recurring revenue, spot patterns in churn over time and forecast future renewal rates.
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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

#116

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#22

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User Sentiment Summary

Great User Sentiment 797 reviews
Great User Sentiment 560 reviews
89%
of users recommend this product

InsightSquared has a 'great' User Satisfaction Rating of 89% when considering 797 user reviews from 4 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.

5.0 (11)
4.3 (7)
4.4 (664)
3.9 (92)
n/a
4.08 (49)
4.7 (48)
4.1 (50)
n/a
4.1 (176)
4.5 (74)
4.2 (186)

Synopsis of User Ratings and Reviews

Data Connectivity: Around 87% of the users who reviewed data integration said that the platform pulls data efficiently from a wide range of data sources.
Support: Support is responsive and knowledgeable, according to 87% of the users who mentioned contacting them.
Ease of Use: Citing ease of use to filter and pivot on key metrics, approximately 86% of the users said that the platform is intuitive and user-friendly.
Data Visualization: Approximately 82% of the users who discussed data visualization said that the platform provides a multitude of prebuilt and customizable dashboards to tell stories.
Data Analysis: Citing strong trend analytics based on historical data, around 74% of the users said that the platform provides seamless self-service analysis of business metrics.
Functionality: The platform has powerful features to present insights into sales and marketing pipeline health, according to around 74% of the users who reviewed its functionality.
Reporting: Reviewing reporting, approximately 63% of the users said that the platform provides a multitude of prebuilt charts and reports with visible, ready-to-consume insights.
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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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Speed: Around 90% of the users who mentioned speed said that data refresh is slow, especially when processing large datasets.
Pricing: Approximately 60% of the users who reviewed pricing said that necessary customizations add to the overall cost, limiting adoption by small enterprises.
Training: Around 54% of the users who discussed training said that there is a learning curve due to lack of training and documentation.
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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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InsightSquared is a powerful sales analytics platform that helps users drive sales pipelines and access self-service data analytics through robust features and interactive data visualizations. According to many users who discussed data integration, the tool interacts seamlessly with other applications and data sources to enable predictive analytics that help forecast future trends. Most of the users who mentioned support said that they are responsive and knowledgeable. A majority of the users who reviewed the interface said that it’s user-friendly and easily navigable, though some users said that the versatility of the platform makes it complex to learn. Many users who discussed the platform’s visualization capabilities said that it provides a wide range of interactive and intuitive out-of-the-box dashboards. A majority of the users who discussed data analytics said that the platform excels in analyzing historical data to better forecast future trends, though some users said that the scope of predictive analytics should be wider to provide better insights. According to many users who mentioned functionality, the solution provides many ways to explore data-based insights through deep-dive and pivoting on key metrics, though some users said that the platform is not easily customizable. Many users who mentioned reporting said that the solution provides a plethora of out-of-the-box reports that can be customized and exported easily, though some users said that there is limited flexibility in report customization. On the flip side, a majority of the users who reviewed speed said that the platform is slow when moving between templates and can become CPU-intensive with large dashboards, though some users said that it can slice and dice data to present relevant information in seconds. Many users who mentioned pricing said that necessary customization modules add to the cost of the software, which makes adoption difficult for small businesses. Many users said that though training is needed to maximize the tool’s potential, lack of adequate documentation makes the learning curve steep. In summary, InsightSquared is a self-service revenue intelligence tool that provides a single source of truth for sales analytics and forecasting pipeline management. It boosts productivity across the organization, though its pricing can be cost-prohibitive for small businesses.

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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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