InsightSquared vs Oracle Business Intelligence

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Our analysts compared InsightSquared vs Oracle Business Intelligence 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
Oracle Business Intelligence 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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Oracle Business Intelligence (BI) is a robust suite designed to empower users by providing comprehensive capabilities, including data integration, analytics, and reporting. This is a product that's most suited for medium to large enterprises which have complex data environments and require in-depth insights into their operations. Its important benefits are scalability, advanced analytics, data visualization, and a strong support infrastructure that Oracle is known for. An important feature set includes self-service analytics, ad-hoc analysis, mobile analytics, and robust dashboard capabilities. This sophistication lends itself to comparison with other enterprise-grade BI tools, where users often highlight Oracle BI's extensive integration facilities and powerful back-end capabilities as differentiators. However, given its depth and complexities, it can also present a steep learning curve for new users. Pricing considerations are important as Oracle BI is viewed as a premium offering. Typically, it's priced on a per-user basis, with payment frequencies ranging from monthly to annual licensing. Prospective buyers should note that the total cost of ownership may include additional expenses for implementation, customization, and training. In summary, Oracle Business Intelligence serves as a comprehensive data suite that leans towards the higher end of the market in both capability and price.

Pros
  • Powerful data warehousing
  • Scalable for large organizations
  • Wide range of features
  • Integrates with other Oracle products
  • Large user and developer community
Cons
  • High cost of ownership
  • Complex setup and management
  • Steep learning curve
  • Limited non-Oracle platform support
  • Less user-friendly than some alternatives
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$65/User, Monthly
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$33/Processor, Monthly
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Windows
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Linux
Android
Chromebook
Windows
Mac
Linux
Android
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Cloud
On-Premise
Mobile
Cloud
On-Premise
Mobile

Product Assistance

Documentation
In Person
Live Online
Videos
Webinars
Documentation
In Person
Live Online
Videos
Webinars
Email
Phone
Chat
FAQ
Forum
Knowledge Base
24/7 Live Support
Email
Phone
Chat
FAQ
Forum
Knowledge Base
24/7 Live Support

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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  • Interactive Visualizations: Users have access to a wide selection of interactive dashboards, charts, graphs and other data visualization tools. They can filter, drill down or pivot data directly from the dashboard while prompts and suggestions from the system guide them through the exploration process to uncover additional insights.
  • Oracle Exalytics: Using Oracle Exalytics, users can analyze massive datasets efficiently and without the need for a technical professional such as a data analyst.
  • Self-Service: Even non-technical users will be able to explore, organize and interpret data using this analysis system. The intuitive visualizations make the information easy to understand and share for employees at any level of data literacy.
  • Actionable Intelligence: By analyzing data and identifying trends, users are more prepared to make decisions about business practices, quotas, forecasting and much more.
  • Proactive Alerts: Users can set predefined alerts that send users real-time updates when the system is triggered or scheduled. These alerts are sent via a preferred channel, including email, internal file storage and text message based on the severity of the alert.
  • Mobile Access: Everything in the solution is presented with a consistent interface on the mobile device of the user’s choosing. This includes multitouch and gestural interactions with map graphics and other advanced features.
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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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  • Dashboards: The rich dashboard feature lets users see and interact with personalized dashboards based on their predefined role. They can explore the data freely along a guided navigation path that leads them to new insights.
  • Report Types: The system can create a variety of report types including ad-hoc analysis, interactive reports, custom reports and a selection of pre-built reports.
  • Big Data: The in-memory processing power of this solution allows users to incorporate big data sets without needing to integrate another solution. It can draw from large databases such as Hadoop, HIVE, Google Analytics, etc.
  • Augmented Analytics: The inclusion of machine learning and AI in the analytics process enhances the user experience by streamlining every aspect of it. The system remembers previous searches, offers natural language search queries and provides intelligence suggestions for the ideal visualization for each individual dataset.
  • Enterprise Reporting: This feature refers to the creation of simple reports in the most efficient, organized manner possible. This analytics tool facilitates the creation of files from templates such as checks, flash reports, tables and more.
  • Spatial Visualizations: The visualization tools aren’t limited to two dimensions; the system also offers a map view in which the data is projected on a fully interactive map. This graphic can include color fill, adjustable size markers, customizable image markers, multiple forms of binning and continuous color-fill features.
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Product Ranking

#116

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Business Intelligence Tools

#50

among all
Business Intelligence Tools

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User Sentiment Summary

Great User Sentiment 797 reviews
Great User Sentiment 508 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.

83%
of users recommend this product

Oracle Business Intelligence has a 'great' User Satisfaction Rating of 83% when considering 508 user reviews from 3 recognized software review sites.

5.0 (11)
n/a
4.4 (664)
3.3 (11)
4.7 (48)
4.1 (89)
n/a
4.2 (408)
4.5 (74)
n/a

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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User-friendly interface: Oracle BI is lauded for its intuitive and easy-to-use interface, making it accessible to users with varying technical expertise. Drag-and-drop functionality and self-service reporting empower users to analyze data independently.
Robust data integration: Oracle BI seamlessly integrates with diverse data sources, including relational databases, cloud applications, and flat files. This eliminates data silos and provides a unified view of critical business information.
Powerful data visualization: Oracle BI offers a comprehensive library of interactive visualizations, including charts, graphs, maps, and dashboards. These visuals help users identify trends, patterns, and insights within their data.
Flexible deployment options: Oracle BI offers both on-premise and cloud deployment models, catering to various organizational needs and preferences. This flexibility ensures scalability and accessibility for users across different locations.
Extensive security features: Oracle BI prioritizes data security with role-based access control, data encryption, and auditing capabilities. This ensures authorized users can access relevant information while protecting sensitive data.
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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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High cost: Oracle BI can be expensive to purchase and implement, especially for small and medium-sized businesses. The initial investment and ongoing maintenance costs can be a significant barrier for some organizations.
Steep learning curve: While the interface is user-friendly, mastering the full potential of Oracle BI requires time and effort. This can be challenging for users who are not familiar with data analysis tools or who have limited technical experience.
Limited customization options: While Oracle BI offers a range of features, some users find the customization options to be restrictive. This can be limiting for organizations with specific needs or unique data analysis requirements.
Potential performance issues: Large datasets and complex queries can lead to performance slowdowns in Oracle BI. This can be frustrating for users who rely on real-time insights and data accessibility.
Vendor lock-in: As a proprietary platform, Oracle BI can lock users into Oracle's ecosystem. This can make it difficult to switch to other BI solutions in the future, limiting flexibility and potentially increasing costs.
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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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Oracle Business Intelligence (OBI) garners mixed reviews from users. Many praise its robust functionality and ability to handle large datasets, with one user noting, "OBI can handle almost anything I throw at it." Another highlights its insightful dashboards and reporting capabilities, stating, "OBI provides the perfect blend of data visualization and analysis tools." However, some users criticize OBI's steep learning curve and complex interface. One user lamented, "It took me months to feel comfortable using OBI effectively." Others point to its integration limitations, especially with non-Oracle products, with one user stating, "OBI shines within the Oracle ecosystem but struggles with others." When compared to competitors like Microsoft Power BI and Tableau, users often cite OBI's scalability and data-handling prowess as its main differentiators. One user highlighted, "OBI is the go-to solution for large-scale enterprise data analysis, leaving Power BI and Tableau behind when dealing with massive datasets." Additionally, users appreciate OBI's tight integration with other Oracle products, creating a seamless workflow within the Oracle ecosystem. However, users also acknowledge OBI's shortcomings in terms of user-friendliness and flexibility. One user stated, "Power BI and Tableau offer a more intuitive and user-friendly experience, making them more accessible to a broader range of users." Additionally, some users find OBI's reliance on Oracle technologies limiting, preferring the broader platform compatibility offered by competitors. Ultimately, the choice between OBI and its competitors depends on specific needs. For organizations requiring in-depth analysis and scalability, OBI remains a powerful contender. However, those prioritizing user-friendliness and integration flexibility may find alternatives like Power BI and Tableau more attractive.

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