Sisense For Cloud Data Teams vs i2 Analyst's Notebook

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Our analysts compared Sisense For Cloud Data Teams vs i2 Analyst's Notebook 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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i2 Analyst's Notebook is a sophisticated software tool designed to facilitate advanced data analysis and visualization, particularly in the realm of Business Intelligence. It excels in transforming complex data sets into comprehensible visual representations, such as link charts and timelines, which aid in identifying patterns, relationships, and trends. This software is particularly well-suited for analysts in law enforcement, military, and financial sectors due to its robust capabilities in handling large volumes of data and uncovering hidden connections.

Key benefits include enhanced decision-making through clear visual insights, improved efficiency in data analysis, and the ability to integrate data from multiple sources. Popular features encompass advanced search functions, customizable visualization options, and powerful analytical tools. Users often highlight its intuitive interface and the depth of analysis it provides as standout aspects.

In comparison to similar products, i2 Analyst's Notebook is frequently praised for its comprehensive feature set and reliability. Pricing typically varies based on the number of licenses and specific organizational needs, with options for annual subscriptions or perpetual licenses, making it adaptable to different budgetary 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 Data Visualization: Transforms complex data sets into intuitive visual formats, making it easier to identify patterns and relationships.
  • Improved Decision Making: Provides actionable insights through advanced analytics, aiding in more informed and timely business decisions.
  • Streamlined Investigations: Facilitates quicker and more efficient investigations by consolidating disparate data sources into a single, cohesive view.
  • Increased Collaboration: Enables teams to share and collaborate on data and findings in real-time, fostering a more integrated approach to problem-solving.
  • Enhanced Security: Offers robust security features to protect sensitive information, ensuring that data integrity and confidentiality are maintained.
  • Customizable Workflows: Allows users to tailor workflows to their specific needs, enhancing productivity and operational efficiency.
  • Scalability: Supports large volumes of data and can scale with the growth of your organization, ensuring long-term usability.
  • Reduced Operational Costs: By automating routine tasks and improving data accuracy, it helps in reducing the overall operational expenses.
  • Regulatory Compliance: Assists in meeting regulatory requirements by providing comprehensive audit trails and documentation capabilities.
  • Time Savings: Speeds up data analysis and reporting processes, allowing teams to focus on strategic initiatives rather than manual data handling.
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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: Transforms complex data sets into intuitive visual charts and graphs, making it easier to identify patterns and relationships.
  • Link Analysis: Allows users to map and analyze connections between entities such as people, organizations, and events, facilitating deeper insights.
  • Temporal Analysis: Provides tools to create timelines and sequence events, helping to understand the chronological order and causality.
  • Geospatial Analysis: Integrates with mapping tools to visualize data geographically, aiding in the identification of location-based trends and patterns.
  • Data Integration: Supports the import of data from various sources including databases, spreadsheets, and other software, ensuring comprehensive analysis.
  • Search and Query: Offers advanced search capabilities to filter and query data efficiently, enabling users to find specific information quickly.
  • Social Network Analysis: Analyzes social networks to uncover hidden relationships and key influencers within a network.
  • Customizable Workspaces: Allows users to tailor their analysis environment to their specific needs, enhancing productivity and focus.
  • Reporting and Presentation: Generates detailed reports and presentations directly from the analysis, facilitating clear communication of findings.
  • Collaboration Tools: Enables multiple users to work on the same project simultaneously, promoting teamwork and information sharing.
  • Pattern Analysis: Identifies recurring patterns within data sets, which can be crucial for predictive analysis and decision-making.
  • Data Cleansing: Includes tools to clean and standardize data, ensuring accuracy and consistency in analysis.
  • Entity Extraction: Automatically extracts entities from unstructured data, such as text documents, to streamline the analysis process.
  • Integration with Other Tools: Seamlessly integrates with other IBM i2 products and third-party applications, enhancing its functionality and versatility.
  • Security Features: Implements robust security measures to protect sensitive data and ensure compliance with regulatory standards.
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Product Ranking

#16

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#270

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User Sentiment Summary

Great User Sentiment 140 reviews
Excellent User Sentiment 2 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.

100%
of users recommend this product

i2 Analyst's Notebook has a 'excellent' User Satisfaction Rating of 100% when considering 2 user reviews from 1 recognized software review sites.

4.5 (72)
n/a
4.3 (33)
5.0 (2)
4.8 (4)
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4.1 (31)
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Awards

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i2 Analyst's Notebook 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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Visualizations: Users appreciate the ability to create clear and informative visualizations, such as link analysis diagrams, to quickly identify patterns and relationships in data. This helps them understand complex data sets and communicate insights effectively to stakeholders.
Data Integration: The software's ability to integrate data from various sources, including databases, spreadsheets, and text files, is a major advantage. This allows users to analyze data from different systems in a single platform, providing a comprehensive view of their business operations.
User-Friendly Interface: Users find the interface intuitive and easy to use, even for those with limited technical expertise. This makes it accessible to a wider range of users within an organization, enabling more people to contribute to data analysis and decision-making.
Security Features: The software's robust security features, including access control and data encryption, are essential for organizations handling sensitive data. This ensures that data is protected from unauthorized access and misuse.
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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: New users often find the interface and functionality overwhelming, requiring significant time and effort to master. This can be especially challenging for analysts who are new to data visualization and analysis tools.
Limited Data Connectivity: Connecting to various data sources can be cumbersome, especially for less common or specialized data formats. This can hinder the ability to integrate data from different systems and create a comprehensive view.
Performance Issues: Large datasets can lead to slow performance and lag, making it difficult to analyze data efficiently. This can be frustrating for analysts who need to work with large volumes of information.
Lack of Advanced Analytics: While Analyst's Notebook offers basic analysis capabilities, it lacks advanced features like predictive modeling or machine learning. This can limit its usefulness for organizations seeking to gain deeper insights from their data.
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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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User reviews suggest that i2 Analyst's Notebook is a powerful tool for analyzing complex data, but it's not without its flaws. Users praise its ability to visualize data and identify patterns, which is crucial for understanding complex investigations. For example, one user highlighted how the software helped them uncover connections between seemingly unrelated events, leading to a successful prosecution. However, some users complain about the software's steep learning curve and clunky interface, which can be frustrating for new users. One user likened the experience to trying to navigate a maze with a blindfold on. Despite these drawbacks, i2 Analyst's Notebook remains a popular choice for law enforcement and intelligence agencies due to its robust features and ability to handle large datasets. The software's strength lies in its ability to connect the dots, making it ideal for investigations involving complex networks of individuals and organizations. For example, it can be used to track the movement of money, identify potential threats, and analyze social media data. However, the software's complexity can be a barrier for users who are not familiar with data analysis techniques. It's not a tool for casual users; it requires a dedicated team of analysts with the skills and training to use it effectively. Overall, i2 Analyst's Notebook is a powerful tool for organizations that need to analyze large amounts of data and identify patterns. However, it's not for everyone. If you're looking for a user-friendly tool with a gentle learning curve, this might not be the right choice. But if you're serious about uncovering hidden connections and gaining actionable insights, i2 Analyst's Notebook is worth considering.

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