Sisense For Cloud Data Teams vs Entrinsik Informer

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Our analysts compared Sisense For Cloud Data Teams vs Entrinsik Informer 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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Entrinsik Informer is a robust software solution designed to streamline Business Intelligence tasks, offering powerful data management and analytics capabilities. It is particularly well-suited for organizations that require efficient data integration, reporting, and visualization to drive informed decision-making. The software's intuitive interface and versatile features make it an excellent choice for businesses of various sizes and industries, seeking to enhance their data-driven strategies.

One of the key benefits of Entrinsik Informer is its ability to consolidate data from multiple sources, providing users with a comprehensive view of their operations. This facilitates more accurate and timely insights, which are crucial for strategic planning. Popular features include advanced reporting tools, customizable dashboards, and real-time data analytics, all of which contribute to a more dynamic and responsive business environment.

In comparison to similar products, users often highlight Entrinsik Informer's ease of use and the efficiency of its data integration processes. Pricing for Entrinsik Informer typically varies based on the number of users and the specific needs of the organization, with options for annual or monthly payment plans. This flexibility allows businesses to choose a pricing model that aligns with their budget and operational requirements.

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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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  • Enhanced Decision-Making: Entrinsik Informer provides real-time data analytics, enabling businesses to make informed decisions quickly and accurately.
  • Improved Data Accessibility: Users can access and analyze data from multiple sources without needing extensive technical knowledge, fostering a data-driven culture.
  • Streamlined Reporting: The software simplifies the creation of complex reports, saving time and reducing the potential for human error.
  • Increased Efficiency: Automating routine data tasks allows employees to focus on more strategic activities, boosting overall productivity.
  • Customizable Dashboards: Tailored dashboards provide users with relevant insights at a glance, enhancing their ability to monitor key performance indicators.
  • Data Integration: Seamlessly integrates with various data sources, ensuring a comprehensive view of business operations and eliminating data silos.
  • Enhanced Collaboration: Facilitates better communication and collaboration among team members by providing a unified platform for data sharing and analysis.
  • Scalability: The software grows with your business, accommodating increasing data volumes and more complex analytical needs without compromising performance.
  • Cost Savings: Reduces the need for multiple disparate tools and minimizes manual data processing, leading to significant cost reductions over time.
  • Regulatory Compliance: Helps ensure that data handling and reporting meet industry standards and regulatory requirements, reducing the risk of non-compliance.
  • Enhanced Security: Robust security features protect sensitive data, ensuring that only authorized users have access to critical information.
  • Actionable Insights: Transforms raw data into actionable insights, helping businesses identify trends, opportunities, and areas for improvement.
  • User-Friendly Interface: Intuitive design makes it easy for users of all skill levels to navigate and utilize the software effectively.
  • Real-Time Monitoring: Provides up-to-the-minute data, allowing businesses to respond swiftly to changing conditions and emerging opportunities.
  • Reduced IT Dependency: Empowers business users to generate their own reports and analyses, reducing the burden on IT departments.
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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 Visualization: Generate interactive charts, gauges, pivot tables, maps and summary views to boost insight comprehension. Customize and apply filters through Discover to sort, group and explore specific areas of interest. Embed visualizations into a web-based application or an inter-office portal like Microsoft SharePoint. 
  • Data Source Connectivity: Connect to any type of data source, including structured data, unstructured data, REST API endpoints, spreadsheets from a desktop, Twitter feeds or traditional physical databases for faster data analysis. 
  • Data Flows: Enable quick data transformation that enters the system by joining data from different sources. 
  • Jobs: Facilitate workflow automation by creating a job using multiple queries and datasets while adding filters to customize reports. Set up one or multiple actions for the same job and send individual and burst emails. Maximize efficiency and run jobs manually or automatically by setting up a schedule or specific alert. 
  • Datasets: Curate a single source of truth; map and query data into building blocks to enable data analytics. Refreshes datasets to reflect real-time information as it updates from the data source. 
  • Data Governance and Security: Leverage governance policies to ensure data quality and organization integrity. Protect information and manage access permissions by team, role or individual. 
  • Reporting: Build interactive analytical reports by creating colorful charts, maps and graphs that utilize data extracted from multiple sources. Dashboard reports make it easier to track trends, perform data analysis and analyze key performance metrics. 
  • Extensibility: Extend the tool’s functionality by integrating JavaScript and AngularJS APIs into the system. Manage scalability and flexibility in writing, testing, sharing and deploying plugin code. 
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Product Ranking

#16

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#464

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User Sentiment Summary

Great User Sentiment 140 reviews
Excellent User Sentiment 166 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.

97%
of users recommend this product

Entrinsik Informer has a 'excellent' User Satisfaction Rating of 97% when considering 166 user reviews from 4 recognized software review sites.

4.5 (72)
4.7 (11)
n/a
4.82 (57)
4.3 (33)
4.8 (56)
4.8 (4)
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4.1 (31)
4.9 (42)

Awards

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Entrinsik Informer 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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Intuitive Interface: Users praise Informer's drag-and-drop interface, finding it easy to create reports and dashboards without needing to write code.
Powerful Data Visualization: Informer offers a wide array of charts and graphs, enabling users to present data in a clear and compelling way. Users appreciate the flexibility to customize the look and feel of their visualizations.
Strong Data Connectivity: Informer can connect to a variety of data sources, allowing users to pull data from different systems into a single platform for analysis. This is particularly helpful for organizations with data spread across multiple databases or applications.
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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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Steep Learning Curve: Some users have reported that Informer has a steep learning curve, particularly for those who are new to business intelligence tools or lack a strong technical background. The interface can feel overwhelming, and mastering advanced features may require extensive training or experimentation.
Limited Customization Options: Users seeking highly customized dashboards or reports might find Informer's customization options somewhat restrictive. While it offers a decent range of formatting and visualization choices, it may not cater to every specific design preference or complex reporting requirement.
Performance Issues with Large Datasets: Some users have experienced performance issues when working with very large datasets. Queries can take longer to execute, and dashboard responsiveness may suffer, potentially impacting the user experience, especially in scenarios demanding real-time data analysis.
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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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Is Entrinsik Informer truly "informing" businesses, or is it just another case of hype over substance? User reviews from the past year suggest that Entrinsik Informer is a capable business intelligence tool, but it's not without its drawbacks. Users praise its ease of use, highlighting the intuitive interface that allows even non-technical staff to build reports and dashboards. This user-friendliness is a major differentiator, as many competing products like Domo or Grow require more technical expertise. Users also appreciate the breadth of features, particularly the robust data visualization capabilities that allow for insightful analysis. However, a recurring complaint is the high cost, especially for smaller businesses. Some users find the pricing structure to be prohibitive, making it a less attractive option compared to more affordable alternatives. Another concern is the difficulty of integrating Entrinsik Informer with existing business systems. While the software boasts strong data connectivity, users report challenges in seamlessly integrating it with their specific tech stack, leading to implementation headaches. Overall, Entrinsik Informer seems best suited for medium to large businesses with the budget to accommodate its cost and the technical resources to handle potential integration complexities. For these organizations, the software's user-friendliness and powerful features can be a significant asset, enabling them to unlock valuable insights from their data without requiring a team of data scientists.

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