Sisense For Cloud Data Teams vs Zoho Analytics

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Our analysts compared Sisense For Cloud Data Teams vs Zoho Analytics 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
Zoho Analytics 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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Zoho Analytics (formerly Zoho Reports) allows users to create visualizations and dashboards to present their data via a quick, easy, self-service model. It brings insight and analysis to an organization’s business data on-demand without needing IT assistance or data analysts through extensive automation efforts in several dimensions of the analytical process.

Users can crunch huge datasets, clean and blend data, perform various analytical tasks and visualize the results in dynamic graphics to uncover insights. They can make data-informed business decisions in a stand-alone or embedded environment with support for mobile devices. It has flexible on-premise or cloud deployment models.
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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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  • Visualize Data in Intuitive Graphics: Create insightful, useful dashboards to gain valuable information. Offers an expansive library of visualization types that is expanded frequently. Employees can also blend multiple reports into a single dashboard to gain insight into larger data trends. 
  • Discover Business Operations Insights: Get in-depth, actionable overviews of operations, ranging from sales, finance and marketing to resource management and geographic activity through geo visualizations that facilitate comparison across and between regions. 
  • Perform In-Depth Analysis: Managers can perform deep analytical queries that increase their business intelligence through powerful features like pre-built formulas and functions that identify business metrics and smart forecasting to project future outcomes. 
  • Share and Collaborate on Reports: Provides managers with fine-grained access over the content clients and colleagues can see and edit. Users with access can publish reports, embed them into websites or share them via email for collaboration. Peers can create comment threads on reports as well as add images and annotations. 
  • Embed Into Other Systems: Embed the software’s analytics capabilities into other solutions like CRM platforms, ERP tools or others. Offers seamless integration and a fully re-branded user portal for a continuous user experience across platforms. 
  • Extend the Software as Business Grows: The platform’s extensible, scalable architecture helps build and integrate analytics into applications of any size. Scales up to enterprises using huge volumes of data by utilizing scalable columnar database technology. 
  • Draw Data From Many Sources: Develop a 360-degree view of the organization by blending different types and sources, including outside sources, of data into a single cohesive database, allowing businesses to better answer questions regarding customer behavior, business operations, financial status and more. 
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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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  • Geo Visualization: Sales reps can quickly and easily compare regional performance with interactive map charts. Comparisons can be performed across countries, states, counties and more. 
  • Data Alerts: Managers can set alert conditions that trigger automated alerts when there is a significant change or anomaly in the data. 
  • Report Scheduling: Reports can be scheduled to be published or emailed automatically. Also, schedule recurring reports to generate on a set schedule. 
  • Drag-and-Drop Interface: An intuitive drag-and-drop interface makes generating useful reports quick and easy, without the need for code. View underlying data, set contextual filters, perform data exploration and drill down into the data to gain insights. 
  • White Labeling: The solution is white-labeled to facilitate embedding into websites or applications. Use this technology to embed individual reports or dashboards. 
  • Ask Zia: Zia is a smart analytical assistant built out of a blend of AI and machine learning algorithms. Employees can type out questions in natural query language (NQL), and the assistant will offer answers and suggestions via reports or automatically build and source KPI widgets. 
  • Data Connectors: Connects to a broad range of data connectors, including files and feeds, cloud storage, multiple databases, CRM systems, Google Analytics, marketing platforms, social media, financial platforms, e-commerce platforms, HR and more. 
  • Auto-Joined Data: Auto-joining tables can automatically merge tables linked by a Lookup column (schema attribute). This assists and partially automates cohesive database creation. 
  • Mobile Support: Apps on iOS and Android allow managers to view reports and dashboards from their mobile devices and overwatch operations from anywhere. 
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Product Ranking

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#23

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User Sentiment Summary

Great User Sentiment 140 reviews
Great User Sentiment 748 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

Zoho Analytics has a 'great' User Satisfaction Rating of 89% when considering 748 user reviews from 5 recognized software review sites.

n/a
5.0 (14)
4.5 (72)
4.2 (130)
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4.5 (226)
4.3 (33)
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4.8 (4)
4.5 (168)
4.1 (31)
4.4 (210)

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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Ease of Use: It is a user-friendly platform that makes it easy to upload and control data, as noted by more than 77% of reviewers who mention ease of use.
Integration: Facilitates integration with multiple databases and platforms for greater insights, as reported by 82% of the users noting integrations.
Dashboards: It enables easy creation and sharing of multifaceted, custom dashboards, as observed by 75% of reviewers specifying dashboards.
Flexible Reports: It helps generate dynamic and customizable reports quickly, as stated by 88% of the users who refer to reports.
Implement: This tool is simple to deploy and implement, as noted by 75% of reviewers mentioning the implementation process.
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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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Learning Curve: Around 63% of reviewers who mention the learning curve report that it has a steep learning curve for non-technical users.
User Interface: Its user interface can be confusing because of the multiple options and features available, as noted by over 54% of reviewers that mentioned the user interface.
Limited Queries: All users who refer to queries state that composing and joining queries is limited.
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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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Zoho Analytics is a BI and data analytics software platform that helps users visually analyze data, create visualizations and get a deeper understanding of raw data. It helps users generate dynamic, highly customizable and actionable reports and allows integration with multiple platforms for achieving greater insights. Its multifaceted and customizable dashboards can enhance the user experience. However, many reviewers have reported that the user-interface can be confusing to use with the many options and features available. Also, it has a steep learning curve, and non-technical users might find it difficult to use in the beginning. Overall, it is a user-friendly platform that enables effortless data handling.

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