Orbit Analytics vs Panintelligence

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Our analysts compared Orbit Analytics vs Panintelligence 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.

Product Basics

Orbit, which stands for Operational Reporting and Business Intelligence Technology, provides self-service advanced analytics to businesses for on-demand, data-driven decision-making. It pulls data from a wide range of sources, including Microsoft Excel, and enables high-performance data analysis through visualization and reporting. Connecting to more than 200 business applications, it ensures data integrity and security compliance across platforms.

Leveraging R for statistical computing, it empowers businesses to make accurate and timely business decisions.
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Panintelligence is a self-service, easy-to-use solution for company-wide reporting. It can display multiple data sources side by side, and the data shown is always live and up-to-date.

It is easy to implement, cloud-based and offers multi-tenancy, load balancing, data mining and predictive analytics. Dashboards make it easy for anyone to visualize and communicate complex data in real time. It’s embeddable, highly customizable and reporting is streamlined. User activity can be restricted and audited, with role-based security.
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$50,000 Monthly
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$250 Monthly
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Product Insights

  • Improved Business Decisions: Drive innovation, boost efficiencies and increase revenue through better-informed business decisions. Identify opportunities and spot data trends by surfacing accurate and updated information. Analyze past insights to uncover previously undiscovered data relationships and define future strategy. 
  • Data Integration: Connects out-of-the-box to more than 200 applications like Oracle E-Business Suite, MS-Excel, PeopleSoft, Microsoft Office, Taleo, Salesforce and more. Breaks down data silos to aggregate information from a multitude of disparate data sources. Pulls data from cloud-based, on-premise and hybrid databases. 
  • Advanced Analytics: Forecast business trends by using what-if analyses, scenario modeling and decision trees. Discover patterns, relationships and outliers in data to make informed decisions. Pull data from disparate sources for multidimensional predictive analysis through crosstabs and other visualization types. 
  • Ad-Hoc Reporting: Get answers to data questions faster through its intelligent query generator. Gain in-depth, real-time data insights through easy drag-and-drop, filtering and slice-and-dice actions. Add visual context to reporting insights with geospatial data relationships and plan ahead. 
  • Tell Data Stories: Create visually compelling, interactive data visualizations from proprietary information, unifying disparate data sets into one single dashboard. Display complex information through simple visuals like charts, maps and graphs and easily digestible dashboard summaries. Share visualizations with others by embedding into business applications and exporting to PDFs. 
  • Cloud BI: Reduce the cost of ownership through a flexible cloud solution that combines enterprise-class analytics with an autonomous data warehouse. Integrates with existing on-premise and cloud-based data sources to deliver real-time reporting and analytics. 
  • Data Security: Secures data through built-in row and column-level access permissions based on roles. Automatically syncs with business applications and aligns with pre-existing security rules, account profiles and team member roles. 
  • Deploy Anywhere: Deploys on-premise, in the cloud and in hybrid solutions. 
  • Mobility: View and share mobile-optimized dashboards and reports on the go. Create custom reports, or build from more than 1,000 pre-built templates to share business insights with others. Click on dashboard objects like charts and graphs to drill down into proprietary data for deeper insight. 
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  • Embeddability: Embed dashboards, charts and reports directly into any application, with real-time updates, improving data insights and access to information without moving data from live transactional systems.  
  • Combine Data: Connect and combine data with prebuilt data connectors from numerous sources, structured or unstructured, large or complex, to get better data insights.  
  • Quick and Easy to Deploy: Reduce development time by integrating seamlessly across different platforms quickly; no coding knowledge required.  
  • Bird's Eye View: Pulls data from multiple disparate data sources to create a centralized repository of data and uses AI analytics to make insights accessible, over the internet or locally, to receive a holistic view of data.  
  • Impressive Visualizations: Visualize data for easier discovery and insights with visually accessible charts and graph formats.  
  • Insights On-the-Go: Dashboards and reports are accessible anywhere, on any device, ensuring access and interaction with data insights on the move. 
  • Insights Into Foresights: Uses existing data to anticipate future trends and scenarios with predictive analytics, allowing businesses to tailor their strategies and budgets.  
  • Removes Technical Barriers: Intuitive and easy to use, even techniques such as data mining and data modeling can be used by the most non-tech-savvy.  
  • Scalability: A scalable pricing module means lower starting rates to minimize risk, adapt and grow with businesses.  
  • Security: Provides role-based access to data, keeping data securely stored at the source and meeting new GDPR and PCI regulations.  
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  • Reporting: Create reports from more than 1,000 pre-built reporting templates or build custom ones. Aggregate data from multiple sources and combine it into pixel-perfect reports. Create document templates within Word and Excel, and then add data and publish in Excel, HTML or PDF formats for sharing. 
  • Integrate with Excel: Upload data as Excel files to perform ad-hoc data analysis through easy drag-and-drop actions. Filter specific data fields or slice and dice to view pertinent business metrics. Or, pull live data directly into Excel from one or more business applications and run multiple reports at the same time. 
  • Data Modeling: Build models through associative querying and aggregation of multi-dimensional data through Star Schema and Snowflake queries. Get data insights from OLAP cubes and third-party data sources with customizable options for deeper analysis. 
  • Metadata Management: Customize, reuse, capture and publish data dimensions, hierarchies, performance metrics, KPIs and report layout parameters. Store key metadata objects separately from application databases, enabling faster retrieval, when needed. 
  • Integration with Python and R: Create analytical models from live data by using R and Python. The R Statistics and Python libraries are embedded within its BI server. 
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  • Data Connectors: Bring multiple data sources together, either online or on-premises, using a wide range of data connectors such as Sage 200, Sage 50, Xero and Salesforce. 
  • Predictive Analytics: Construct predictive models to predict future outcomes of live data. In-app modeling helps understand characteristics and patterns to automate tasks and decisions based on event predictions.  
  • White Labeling: Every single component of the application can be redesigned to look according to the user’s preferences, starting from design to accessibility. 
  • Dashboards: Spot trends and patterns using customizable, interactive, easy-to-use dashboards to visualize big data in a central location. Easily visualize graphs and reports using a range of drag and drop features. Share easily and securely.  
  • Drill Down: Dig deeper into more specific layers of data to discover and extract deeper insights. Get a granular overview of data with just a click. 
  • Reporting: Create customized, detailed reports by pulling key elements visualized in dashboards. Get real-time insights using automatic scheduling and modify personalized reports for specific recipients.  
  • KPI Monitoring: Monitors KPIs using predetermined triggers or machine learning, identifying key changes and patterns to inform relevant users.  
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Product Ranking

#373

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Business Intelligence Tools

#404

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Business Intelligence Tools

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User Sentiment Summary

Excellent User Sentiment 4 reviews
Excellent User Sentiment 42 reviews
95%
of users recommend this product

Orbit Analytics has a 'excellent' User Satisfaction Rating of 95% when considering 4 user reviews from 2 recognized software review sites.

93%
of users recommend this product

Panintelligence has a 'excellent' User Satisfaction Rating of 93% when considering 42 user reviews from 2 recognized software review sites.

4.8 (3)
4.6 (36)
n/a
4.8 (6)
4.5 (1)
n/a

Awards

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

User Favorite Award

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

User Favorite Award

Synopsis of User Ratings and Reviews

Free to Use: Orbit is free for everyone to use, which makes it a great option for businesses of all sizes.
Easy to Set Up: Orbit is easy to set up and use, even for users who are not familiar with web analytics. Users have praised the platform for its intuitive design and straightforward implementation process.
Comprehensive Data: Orbit provides a comprehensive view of website traffic, including page views, unique visitors, bounce rate, and more. This data can be used to track website performance and identify areas for improvement.
Customizable Reports: Orbit allows users to create custom reports to track the specific metrics that are most important to them. This flexibility is highly valued by users who need tailored insights.
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Support: All users who mentioned support say that support teams were very helpful, friendly and knowledgeable.
Customization: It has numerous robust customization options, as reported by all reviewers who specified customization.
Ease of Use: The system is easy to use, with an intuitive UI, according to about 88% of users who talked about user-friendliness.
Visualization: All users who spoke about visualization said that dashboards look clean and fresh and are easy to navigate.
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Sampling Issues: For high-traffic websites, Orbit Analytics may extrapolate data based on a subset, leading to potential inaccuracies in metrics like bounce rate or session duration.
Limited Real-Time Reporting: Orbit Analytics doesn't offer truly real-time data updates, making it less suitable for situations demanding immediate insights, such as monitoring the impact of a flash sale.
Complex Interface: Some users find the interface overwhelming, especially those new to web analytics or accustomed to more user-friendly tools.
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Functionality: Approximately 71% of users who referred to functionality mentioned the lack of advanced features available.
Mobile BI: All users who reviewed this feature said that the solution lacks a mobile app and has to be used on browsers, which can be limiting.
Cost: The product has restrictions on budgeting, according to all users who mentioned the cost.
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Is Orbit Analytics the business intelligence software that will make your insights truly out of this world? Users praise Orbit Analytics for its user-friendly interface, making it easy for even non-techy folks to grasp. They also dig its robust reporting features, which help them whip up insightful reports that actually make sense. One user raved about how Orbit Analytics helped them wrangle a massive dataset into a clear and concise report that impressed higher-ups. However, some users find its predictive analytics capabilities a bit lacking compared to competitors like Tableau or Power BI. They wish it had more advanced forecasting tools to get a better handle on future trends. Overall, Orbit Analytics seems like a good fit for businesses who need a straightforward, user-friendly platform to analyze their data and create reports. If you're looking for cutting-edge predictive analytics, you might want to explore other options.

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Panintelligence is an OS-agnostic, flexible solution with AI capabilities. It lets users combine data from a multitude of sources to create visualizations quickly. The solution empowers the user to customize almost every aspect, ranging from dashboards to themes, reports and access. The interface is powerful but easy to understand. Users had very positive feedback about customer support, mentioning that they were very fast to respond to issues. There were mixed reviews on the learning curve. While some said it was easy to introduce beginners, others noted the necessity to understand data concepts to use the tool. The drill down feature in dashboards is robust, helping users thoroughly visualize data. Users also complained about the lack of advanced features such as NLP and collaboration. However, customer support listens to the users’ needs to keep adding rich functionality to their software.

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