Sisense for Cloud Data TeamsFormerly Periscope Data
Overview
What is Sisense for Cloud Data Teams?
Sisense for Cloud Data Teams (formerly Periscope Data) is a data visualization tool that allows users to connect to their SQL databases to create sharable, interactive dashboards. In addition to SQL, its analytics integrate with R and Python, allowing users…
Sisense is working well so far
My Go-to Data Visualization Platform (Sisense for Cloud Data Teams)
Best and amazing software.
Make Sense of Your Customers' Data
Periscope Data - It's In The Name
The Go-To Analytics Platform for Modern BI teams
Explore and Visualize Your Data Without Much Hassle
Easy to use and beautiful dashboards!
Make BI work for you with Periscope Data
Fantastic data visualization package that is integral to our company's day-to-day operations
Great BI software
Periscope: My direct line of sight to the Data that I need DAILY
Periscope Data by Fintech scale-up
BI Analyst's Secret Weapon
Periscope Love
Popular Features
- Formatting capabilities (18)9.292%
- Customizable dashboards (19)9.191%
- Report sharing and collaboration (19)8.686%
- Pre-built visualization formats (heatmaps, scatter plots etc.) (18)8.383%
Pricing
What is Sisense for Cloud Data Teams?
Sisense for Cloud Data Teams (formerly Periscope Data) is a data visualization tool that allows users to connect to their SQL databases to create sharable, interactive dashboards. In addition to SQL, its analytics integrate with R and Python, allowing users to prep datasets, perform analysis, and…
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Features
BI Standard Reporting
Standard reporting means pre-built or canned reports available to users without having to create them.
- 8.8Pixel Perfect reports(10) Ratings
Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.
- 9.1Customizable dashboards(19) Ratings
Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.
- 9.6Report Formatting Templates(17) Ratings
Ad-hoc Reporting
Ad-Hoc Reports are reports built by the user to meet highly specific requirements.
- 9Drill-down analysis(15) Ratings
Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.
- 9.2Formatting capabilities(18) Ratings
Ability to format output e.g. conditional formatting, lines, headers, footers.
- 8.6Integration with R or other statistical packages(10) Ratings
Integration with the open-source R predictive modeling environment.
- 8.6Report sharing and collaboration(19) Ratings
Report sharing and collaboration is the ability to easily share reports with others.
Report Output and Scheduling
Ability to schedule and manager report output.
- 9.6Publish to Web(12) Ratings
- 9.6Publish to PDF(12) Ratings
- 9.6Report Versioning(12) Ratings
Report versioning is the assignment of version numbers to each version of a report to help in tracking.
- 9.6Report Delivery Scheduling(15) Ratings
Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.
- 9.4Delivery to Remote Servers(7) Ratings
Ability to deliver reports to remote servers
Data Discovery and Visualization
Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.
- 8.3Pre-built visualization formats (heatmaps, scatter plots etc.)(18) Ratings
Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.
- 8.8Location Analytics / Geographic Visualization(17) Ratings
Location analytics is the visualization of geographical or spatial data.
- 9Predictive Analytics(11) Ratings
Predictive Analytics is the ability to build forecasting models based on existing data sets.
Product Details
- About
- Tech Details
- FAQs
What is Sisense for Cloud Data Teams?
Sisense for Cloud Data Teams Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
Frequently Asked Questions
Comparisons
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Reviews and Ratings
(54)Community Insights
- Business Problems Solved
- Pros
- Cons
Periscope Data's platform and API have been utilized by a wide range of professionals, including pharmacy owners, managers, and pharmacy operations stakeholders, to deploy business intelligence dashboards. This has enabled them to add value to their products and services. Furthermore, companies like Kongregate, a data-driven organization, have been relying on Periscope Data for over 5 years to visualize and analyze data. The platform not only caters to deep analytics but also serves non-technical departments that require reports and information about their products and services.
Sisense for Cloud Data Teams has proven to be a valuable asset for testers and analysts. It empowers them to create powerful dashboards, accurate graphs, and precise charts that effectively demonstrate client issues. Additionally, the subscription and dashboard characteristics offered by Sisense fill the gaps that were present in Power BI. Customers can now export their data and handle massive amounts of customer data seamlessly.
The versatility of Periscope Data is evident in its widespread use across organizations. Various departments such as marketing, sales, design, and production leverage the platform's capabilities to meet their reporting and data needs. With Periscope Data, ad-hoc reports can be easily created and interactive dashboards are at their disposal. This enables quicker decision-making processes based on real-time insights.
Moreover, Periscope Data plays an essential role in tracking resources and linking databases with Salesforce for monthly reports. By combining all databases in one intuitive environment, it allows employees to visualize and track production database, CRM system, sales effort, accounting data, making it an indispensable tool for all departments.
Another use case of Sisense for Cloud Data Teams lies in its ability to facilitate bug fixes and provide seamless sales experiences. Its custom dashboard creation feature allows users to showcase visually appealing reports externally to clients while internally organizing copious amounts of data effectively.
The analytical power of Periscope Data is leveraged by analysts to explore production datasets, create visualizations, and provide raw data to business users when internal tools fall short. With over 400 colleagues benefiting from the quick creation and editing of dashboards and queries, strategic decisions are supported efficiently.
Periscope Data's ability to extract meaningful insights from a central database serves organizations across multiple industries. It empowers users to create endless combinations of graphs, charts, and other data visualizations. Additionally, it serves as a general reporting tool and provides embedded reporting for licensed applications, making it a comprehensive solution for reporting needs.
Rapid Deployment Process: Many reviewers have praised Periscope Data for its rapid deployment process, allowing users to quickly start using the platform and benefit from its features.
Polished T-SQL-based Data Visualization: Users have highly regarded Periscope Data's polished T-SQL-based data visualization charts and dashboards. They appreciate the clean and professional look of the visualizations, which help them effectively analyze and present their data.
Outstanding Customer Service and Support: Numerous users have expressed their admiration for the outstanding customer service and support provided by Periscope Data. The knowledgeable support team has been commended for providing expert advice and quick responses, ensuring that users can make the most out of the platform.
Missing Line Numbers in Query Parsing Errors: Some users have expressed frustration with the absence of line numbers in query parsing errors, making it difficult for BI developers to identify and fix errors. This issue has been mentioned by multiple reviewers.
Issues with Caching Large Tables: Users have reported that caching large tables can cause issues with queries and the display of data, which is a pain point for them. Several reviewers have mentioned this problem.
Lack of Thoroughness in Embed API Documentation: The Embed API documentation has been criticized by users for lacking thoroughness and examples, making it challenging for them to effectively utilize this feature. Multiple reviewers have expressed this concern.
Attribute Ratings
Reviews
(1-7 of 7)Sisense is working well so far
- Data Export Subscription
- Data Dashboards
- There was a large learning curve.
- Collect data across all ETL services.
- Integrate with extensive range of external applications and APIs.
- Offers free trial and support is available 24/7/12/365.
- More documentation for available features would be better to simplify customization.
- Do not have online community for peers and Sisense users.
The Go-To Analytics Platform for Modern BI teams
- Data integration with support for various databases and popular tools.
- Built in SQL formatter.
- Use SQL to prepare and publish data sets for use with built in support for Python and R.
- Quick setup for SQL Alerts, Views and Snippets.
- Excellent on demand support team.
- Caching tables can be problematic and views without unique columns do not cache accurately
- SQL query parsing errors for queries running directly against databases can be confusing.
- Issues with data sync in the Salesforce Integration.
- Despite having an excellent support team it is recommended to have good SQL knowledge to get the best out of data analysis using Periscope Data.
Easy to use and beautiful dashboards!
- User interface - very easy to use and navigate, even for a non coder like me.
- Super helpful website and training materials to learn and brush up on. Wealth of information from their customer success team.
- Ease of integration into other online platforms, such as google sheets.
- You still need to have a good handle on SQL and how your data is categorized.
- Would be great if it provided you an 'org chart' of your own data code names and labels, so you can easily access the inputs you're using.
- Having more examples of data analytics and what types of charts you can make would serve as inspiration for those less creative out there.
Make BI work for you with Periscope Data
- Rapid deployment of polished T-SQL-based data visualization charts and dashboards. Periscope supports a variety of database technologies, and allows users to write custom queries to display data.
- Included caching to reduce server load.
- Outstanding customer service/support, with expert advice as needed.
- Constant updates and new features.
- Built-in SQL formatters take the pain out of manipulating date/time objects.
- Query parsing errors do not display the line number of the error, this is a pain point for BI developers.
- Caching large tables can be problematic and cause issues with queries and display of data.
- Embed API documentation should be more thorough with plenty of examples.
BI Analyst's Secret Weapon
- Write query, get chart. Fast iteration.
- Responsive support and product teams keep us current on product roadmap and enhancements.
- Minimal onboarding required for new team members. Analysts don't need to learn a new language to begin development, just the appropriate flavor of SQL.
- Caching simplifies ETL, mitigating dependency on data engineering for basic use-cases.
- More controls around database settings and SQL views would enable more customized workflows.
- Git integration would be amazing (I'm told this is coming soon)
Business users who want to explore for insights themselves but don't want to learn SQL may have some difficulty without training.
Periscope Love
- Organization of disparate data sources
- Ability to run complex calculations using up to date and standardized tooling via Python and R
- Their customer support team would keep me here even if they were missing features we needed
- The UI can be nit-picky about not showing you full table names if they are long
- There are some arbitrary restrictions on field content length that are removable, but not obvious to the end user
- No way to make Python/R libraries to enable code reuse. Of note, they are working to fix this however with git integration.