Datorama vs Orbit Analytics

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Our analysts compared Datorama vs Orbit Analytics 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

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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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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$3,000 Monthly
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$50,000 Monthly
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Product Assistance

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24/7 Live Support
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24/7 Live Support

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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  • 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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  • 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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  • 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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Product Ranking

#35

among all
Business Intelligence Tools

#373

among all
Business Intelligence Tools

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User Sentiment Summary

Great User Sentiment 156 reviews
Excellent User Sentiment 4 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.

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.

4.3 (89)
4.8 (3)
4.36 (22)
n/a
4.6 (16)
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4.6 (9)
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3.5 (20)
4.5 (1)

Awards

No awards.

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

User Favorite Award

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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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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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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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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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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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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