InsightSquared vs Oracle Analytics Cloud

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Our analysts compared InsightSquared vs Oracle Analytics Cloud 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

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 Analytics Cloud is a public cloud service on which you can build and run reporting and analytics solutions. It can also manage data from Oracle Database and Oracle Autonomous Data Warehouse. Pairing it with Oracle Data Integration can help you move and transform data at scale. But that’s not all. You can build and deploy analytics applications even with non-Oracle systems. However, the level of integration and capabilities may differ.

You’ll need an Oracle Cloud account, and a free trial is available. Oracle customizes the view for you, whether you’re a web app developer, account admin or cloud architect. Workbooks and dashboards enable data exploration. You can set it up so the system sends reports to selected users on schedule. Governed analytics is available; your data stays secure. Annotations, export options and integration with social platforms are other capabilities.

Two pricing tiers are available. The Professional edition has self-serve analytics, direct source connections and dataflows for preparing content. It costs $16 per user monthly.

The Enterprise edition lets you enrich data, connect to private sources and build semantic models. You can track usage and set encryption keys, all at a cost of $80 per user monthly. Opt for a user or consumption model based on OCPUs (Oracle CPUs).

The user reviews were an interesting read. I haven’t seen many products with such strongly divided opinions. In all positive reviews, over 70% of the users voted for a specific feature, indicating a high level of user satisfaction and perceived value. On the flip side, over 87% of users said price and a steep learning curve were blockers to successful adoption.

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$65/User, Monthly
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$16/User, Monthly
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Tailored to your specific needs
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Product Assistance

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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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  • Leverage ML: According to our research, Oracle Analytics Cloud gets the top score of 76 for augmented analytics. The Explain and AutoML functionalities and one-click predictions give it an edge over other competitors like Qlik Sense and
  • Generate Reports: Oracle Analytics Cloud scores 93 in our analyst rankings with instant and planned reports that are interactive and accept conditional formatting. Plus, it supports text and voice searches even on the mobile app.
  • Monitor Usage: Track expenses with the Billing tab on the Oracle Cloud Console. Keep tabs on usage with a dedicated tool, Oracle Cost Analysis, included with your Oracle Cloud subscription.
  • Try for Free: Sign up for a free Oracle Cloud trial and get access to the Autonomous Database and Object Storage. You’ll need to sign in with your credit card details. The vendor deducts a token account verification amount from your card, which they return promptly. For me, it was annoying as they deducted it again three days later. Get $300 credits for 30 days to use the Analytics Cloud, Data Integration and the Container Engine for Kubernetes.
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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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  • Deployment: Install and run anywhere, including as a hybrid solution. Scale the instance depending on your workload — deploy OCPUs in multiples of two, extending up to 52. Or pause it when idle. Though identity management is available, there is the option to use one’s own SSO provider. Admins can set user, group and role-based permissions.
  • Connectivity: Make decisions based on data; connect to social media feeds, data lakes and IoT sources. Store and process data at scale, irrespective of its volume, velocity and variety. Get started as soon as you log in with over 40 readymade connectors.
  • Direct Query: Oracle Analytics Cloud uses live queries and data caching to fetch responses. Each has its downside. Live connections are heavier on the system, and you might have to compromise on data freshness with data caching. A combination of both might be best. Consider live queries for critical KPIs and data caching for less frequent queries.
  • Data Preparation: Enrich data from the interface — get data quality insights as you work. Remove the grunt work — create reusable flows for transforming data you can test, share and schedule. Add custom calculations or write regular expressions in the dataset editor.
  • Semantic Data Modeling: Engage business, dev and data teams in meaningful discussions. Give them data views with a presentation layer that simplifies metrics. Hide the physical data structure with a logical one that speaks the business language. Give stakeholders the power to explore data independently.
  • AI/ML: Boost productivity with embedded machine learning and natural language insights every step of the way. Display quick forecasts, trend lines and clusters from a popup menu with one click. View the basic facts, key drivers and anomalies with the Explain option. Hit the ground running with recommendations on dimensions, measures and attributes to use when you don’t know where to start.
  • Oracle Analytics Publisher: Generate reports from any dataset or semantic model. Create formatted documents unique to your business, be it shipping labels, checks, letters or PDF forms.
  • Data Visualizations: Put your best foot forward with suitable charts and graphs that convey your message effectively. Modify them to answer users’ questions better. Choose from over 45 visualization types, or build your own using extensions from its vast library.
  • Embedded AI On Mobile: Get real-time alerts and intelligent recommendations on mobile. The Oracle Analytics mobile app captures your preferences and location. Upload datasets just like on the desktop or create a workbook from existing data. Powerful searches enable access to your favorite worksheets; add them to your home screen for a quick view. Use voice-enabled searches and listen to the results as a podcast.
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Product Ranking

#116

among all
Business Intelligence Tools

#10

among all
Business Intelligence Tools

Find out who the leaders are

Analyst Rating Summary

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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

InsightSquared
Oracle Analytics Cloud
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Advanced Analytics Augmented Analytics Data Management Data Pre-processing Data Transformation Data Visualization Embedded Analytics Capabilities Geospatial Visualizations And Analysis Mobile Capabilities Platform Capabilities Reporting 88 82 100 100 100 100 71 100 79 83 98 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

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User Sentiment Summary

Great User Sentiment 797 reviews
Great User Sentiment 719 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.

84%
of users recommend this product

Oracle Analytics Cloud has a 'great' User Satisfaction Rating of 84% when considering 719 user reviews from 4 recognized software review sites.

5.0 (11)
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4.4 (664)
4.0 (228)
4.7 (48)
4.1 (59)
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4.3 (316)
4.5 (74)
4.3 (116)

Awards

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SelectHub research analysts have evaluated Oracle Analytics Cloud and concluded it earns best-in-class honors for Augmented Analytics, Data Pre-processing and Geospatial Visualizations and Analysis.

Augmented Analytics Award
Data Pre-processing Award
Geospatial Visualizations and Analysis Award

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: Citing its interface, about 91% of users agreed that a drag-and-drop UI makes it easy to use.
Machine Learning: Around 86% of users who discussed augmented analytics were impressed with its ML capabilities.
Integrations: Approximately 84% of users who mentioned connectivity said the platform worked well with other systems, especially Oracle products.
Functionality: According to 83% of users who reviewed capabilities, it has all the required features to support data tasks.
Data Visualization: Around 73% of users who mentioned visualization praised the platform for its storytelling features.
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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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Price: About 88% of reviews citing pricing said that it’s too expensive.
Adoption: Approximately 87% of users who discussed onboarding said there’s a significant learning curve.
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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 Analytics Cloud is among the vendor’s many data services, including a business intelligence suite and a data intelligence platform. Besides, Oracle offers bespoke solutions for HCM, supply chain and customer experience. What differentiates Oracle Analytics is that extra dash of augmented capabilities.Embedded BI is where it truly shines, giving you natural language insights with a single click. This feature extends to its mobile app, and it outperforms many leading platforms with natural language queries and podcasts on mobile.According to our researchers, Oracle Analytics Cloud has fewer out-of-the-box features than its competitors, such as Power BI and Qlik Sense. Plus, licensing becomes complex when combining the database, middleware and analytics applications.It’s common for large vendors to offer specialized platforms, but the downside is that they can be out of reach of small organizations. But there’s a silver lining. Many vendors offer customized solutions, so we advise reaching out to the vendor for quotes.Users appreciate its regular updates, but some report initial bugs due to its relative newness. Despite a positive user experience, the learning curve can be steep. Some users found technical support slow and inadequate, as did I. They took two business days to get back to me when I needed assistance with my account.Oracle Analytics, though a robust platform, is suitable for mid- and large organizations. If you seek a powerful, scalable platform, consider opting for a trial, but be prepared for sticker shock, especially if you’re new to the Oracle ecosystem.

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