Sisense For Cloud Data Teams vs Panintelligence

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Our analysts compared Sisense For Cloud Data Teams 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.

Sisense For Cloud Data Teams 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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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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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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  • 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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  • 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 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

#16

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#404

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User Sentiment Summary

Great User Sentiment 140 reviews
Excellent User Sentiment 42 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.

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.

4.5 (72)
4.6 (36)
4.3 (33)
4.8 (6)
4.8 (4)
n/a
4.1 (31)
n/a

Awards

No awards.

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

User Favorite Award

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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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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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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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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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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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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