Sisense For Cloud Data Teams vs InsightSquared

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Our analysts compared Sisense For Cloud Data Teams vs InsightSquared 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.

Sisense For Cloud Data Teams Software Tool
InsightSquared Software Tool

Product Basics

Formerly known as Periscope Data, Sisense for Cloud Data Teams is a data analytics software tool that integrates seamlessly with the Sisense platform, offering advanced analytics that delivers actionable insights to teams that work with data in the cloud. It provides a single, cohesive interface for users to store, organize, analyze and visualize all their data for better decision-making. It empowers users of all kinds to produce, consume and share insights intuitively together, with or without coding knowledge.

Originally founded in 2012 in San Francisco, California, it was acquired by Sisense in May 2019 and rebranded in January 2020.
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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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Product Insights

  • Transforms Data Fast: Perform timely data querying and large-scale data ingestion for any volume of workload, through the analytics warehouse integration. Plug the data engine directly into cloud databases and optimize raw data by bypassing steps of the ETL process. Enable hassle-free data import via proprietary data caching technology
  • Centralized Data Warehouse: Creates a single source of truth by ingesting and storing data where it’s analyzed, speeding up analytics processes.
  • Ease of Use: Explore data and visualize trends through simple search query language, rather than via coding or modeling, making it an accessible solution for users of all technical skill levels.
  • Stats at a Glance: Understand and parse the results of data queries through Summary Statistics, without needing to write more SQL while exploring data and building models.
  • Reusable Analysis: Save time by storing frequently used in-house codes for swift collaboration without needing to start new queries from scratch.
  • Collaborative Insights: Enable collaboration between analysts and decision-makers through programming and self-service analytics combined. Hand off data analysis between teams, then publish and share insights with others via direct linking, password-protected links, email or Slack.
  • Self-Service BI: Pinpoint important data points in minutes, with reusable formulas and ad hoc analysis modeling that query data and return answers in real time.
  • R, Python and SQL On One Platform: Develop more advanced analytics processes with any programming language, with support for SQL, Python and R all in the same environment. Integrate open-source programming and formulas from other packages or libraries.
  • Scalability: Incorporate more complex datasets, higher volumes of data, more users and more, as the solution grows with the company.
  • Security: Have confidence in data security, with a cloud security infrastructure that upholds industry wide best practices and standards. Encrypt all traffic between users’ web browsers and Sisense’s servers, and for additional user-level security, manage data permissions, TFA and single sign-on functionality.
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  • 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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  • Native Data Connectors: Blend data together into a single accessible database via an ecosystem of native data connectors and ETL partners.
  • Cloud Data Pipelines: Control when and how often data is refreshed and what the flow of information looks like. Gain visibility and control over data pipelines with a flexible, low maintenance solution.
  • Data Discovery: Directly access CSVs and data sets curated by analysts and interact with these insights through a drag-and-drop interface that does not require fluency in SQL. 
  • Git Integration: Grant developers complete control over their analytics environment through Git integration, sophisticated version control, release management workflows as well as file-level access to all user-generated content, like reports. Create, edit, sync and delete all settings through Git. 
  • Model-as-You-Go: Perform ad-hoc analysis to answer crucial questions at the click of a button by generating custom, on-the-fly data models.
  • Data Visualization: Create and share advanced, highly customizable data visualizations, including scatter plots, bar charts, bubble charts, bullet charts, funnel charts, waterfall charts, control charts, Gantt charts, radial bar charts and more.
  • SQL Editor Tools: Shorten the amount of time necessary to go from query to answer with powerful SQL writing tools, such as query revision history, views, filters, autocomplete suggestions, formatting and more. 
  • Learn SQL: Experiment with SQL programming language and data querying via drag-and-drop fields and see how the results change. Encourage users who aren’t fluent in SQL to become more familiar with it.
  • Code Library: Reduce repetitive data entry tasks and save time for subsequent report generation. Store frequently used code in a common library via Snippets for easy access later. 
  • Spaces: Manage data-level permissions to gate and restrict access to sensitive data and customize dashboards on a per-organization basis.
  • Share and Embed: Share dashboards via password-protection enabled public URLs or embedding inside other web applications or web portals. Download dashboards as static PDF images for uses such as email distribution.
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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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Product Ranking

#16

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#116

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User Sentiment Summary

Great User Sentiment 140 reviews
Great User Sentiment 797 reviews
87%
of users recommend this product

Sisense For Cloud Data Teams has a 'great' User Satisfaction Rating of 87% when considering 140 user reviews from 4 recognized software review sites.

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.

n/a
5.0 (11)
4.5 (72)
4.4 (664)
4.3 (33)
4.7 (48)
4.8 (4)
n/a
4.1 (31)
4.5 (74)

Synopsis of User Ratings and Reviews

Data Querying: Almost 77% of users who mentioned data querying and data modeling said that this solution allows them to perform data queries of almost any kind.
Data Visualization: Of the users who mentioned data visualization, about 75% said that this tool excels at creating easily understandable graphics and visuals.
Sharing and Collaboration: Approximately 88% of users who mentioned this feature said that this solution facilitates strong collaboration on data analysis internally, while allowing for easy external sharing.
Implementation: In reference to setting up the platform, about 90% of users said that the process was smooth and quick.
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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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Reliance on SQL: While it excels in data querying, around 78% of users said that SQL knowledge is necessary to use this platform.
Self-Service Analytics: About 80% of users reviewing this feature said that data analysis is not truly self-service, requiring the involvement of a hands-on IT or analyst team.
Cost: Of the users who reviewed the cost of this tool, almost 86% of them found it too expensive, especially for smaller companies.
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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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Sisense for Cloud Data Teams is a powerful BI tool that excels in the hands of data analysts with coding knowledge. These analysts will be able to model, manage, prepare, manipulate and analyze data with ease. As the platform supports SQL, Python and R programming languages, the sky's the limit when it comes to extensibility, development and coding support. The platform allows for strong collaboration within an organization, designed to alleviate the time-consuming burden of reporting and data visualization on IT teams while allowing business users to access insights on their own time. Most of the features are built around making the analytics team’s job easier, with reusable code, built-in collaboration and more. The support team earned universal praise from users who contacted them, citing their swift, in-depth and informative answers as immensely helpful in resolving any issues they had with the solution. In addition to hands-on support, a speedy implementation process ensures that customers can get the platform up and running in no time. We found that users’ opinions of the platform’s functionality and ease of use differed significantly based on their own roles; analysts generally praised its robust data visualization and data querying features, while decision-makers often found it hard to use, due to the SQL language barrier. SQL is necessary for most functions, and even though there is a visual query editor that attempts to make SQL more accessible, some users said that the platform doesn’t do enough in this regard. Overall, users did agree that the tool makes it easy to collaborate with each other to bridge that gap, with most of the analytics being done on the technical end, letting business users simply access those results. Still, it’s difficult to accurately call Sisense for Cloud Data Teams a self-service analytics tool, as it requires an IT or analyst team’s involvement to truly shine. Additionally, the cost can be prohibitive to smaller businesses. Overall, Sisense for Cloud Data Teams can be extremely powerful in the right hands - for those who know SQL and how to use it, it’s a dream for querying data and delivering analytics, but for those who don’t have the necessary IT resources, it could prove difficult to fully maximize the value of this data solution.

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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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