Tool Information
SayData is a customer-facing analytics tool designed specifically for SaaS platforms. It seamlessly integrates AI-driven analytics into your application, providing beautiful visualizations and a user-friendly experience. With SayData, there's no need for complicated SQL queries or complex programming languages. Users can simply ask questions in plain English, and the tool will automatically process and analyze the data to provide insights.The tool offers a comprehensive suite of data visualization and analysis tools, enabling users to explore and uncover insights in real-time. Custom dashboards and reports can be created to showcase data in an easily understandable format. SayData is also tailored to the unique needs of each business, allowing users to ask questions that are specific to their industry and operations.SayData supports various data integrations, including MySQL, ClickHouse, Athena, MariaDB, PostgreSQL, MongoDB, Rocket, and Snowflake. It can be seamlessly integrated into dashboards, applications, Slack workspaces, and shared via links. The tool also offers white-label analytics, providing users with a secure portal to view their own data.When it comes to data security, SayData ensures complete privacy with its privacy-first architecture. The tool undergoes annual penetration tests to maintain top-notch security measures.SayData offers flexible pricing options, including a Standard Plan for individuals and small businesses, a Growth Plan for growing enterprises, and an Enterprise Plan for large organizations. Each plan has different features and support levels to cater to specific needs.Overall, SayData is a powerful AI analytics tool that simplifies data analysis, enhances data visualization, and provides valuable insights for SaaS platforms.
F.A.Q (20)
SayData is a customer-facing analytics tool designed specifically for SaaS platforms. It integrates AI-driven analytics into applications, enabling users to ask questions in plain English, automatically process and analyze data, and provide insights. The tool offers data visualization and analysis tools, custom dashboards and reports, and tailored solutions based on individual business needs. SayData also supports various data integrations and ensures complete data privacy.
SayData integrates AI into SaaS platforms in a seamless manner. With Natural Language Processing capabilities, it allows users to ask questions in plain English. It automatically processes and analyzes the data to provide easy-to-understand visualizations and insights, eliminating the need for complicated SQL queries or complex programming languages.
In SayData, you can ask questions in plain English. Its natural language processing capabilities allow it to understand and interpret those questions, thereby analyzing the connected data and providing the required insights.
SayData offers a comprehensive suite of data visualization and analysis tools. These tools allow users to explore their data and uncover insights in real time. It also allows for the creation of custom dashboards and reports to display data in an easy-to-understand format.
Custom dashboards and reports in SayData work by enabling users to arrange and present their data in a suitable and easily understandable manner. Users can create these reports and dashboards tailored to their needs and requirements, encapsulating the insights derived from the analyzed data.
SayData can be customized based on specific business needs. It is designed to understand and answer questions that are unique to a particular business or industry. The customizations can include but aren't limited to, specific questions, data integrations, dashboards, and visual reports.
SayData supports a wide array of data integrations. These include MySQL, ClickHouse, Athena, MariaDB, PostgreSQL, MongoDB, Rocket, and Snowflake.
SayData can be seamlessly integrated into your apps and dashboards. It also allows integrations into Slack workspaces and its analytics can be shared via simple sharable links.
White-label analytics in SayData refers to a secure portal where users can log in and view dashboards containing their own data. This service allows companies to offer SayData’s analytical capabilities under their own brand.
SayData ensures complete data privacy through a privacy-first architecture. It undergoes annual penetration tests to maintain and verify top-notch security measures, offering secure use with various stack configurations, in particular regions or on-prem.
SayData provides a simplistic and transparent pricing structure with three main plans: a Standard Plan for individuals and small businesses, a Growth Plan for growing enterprises, and an Enterprise Plan for large organizations. The cost and features vary accordingly.
The Standard Plan of SayData includes unlimited queries, unlimited internal dashboards, CSV exports and sharable links, and support via email and Slack. This plan is available at no cost.
The Growth Plan in SayData adds finer features on top of the Standard Plan such as fine-tuned LLM's for your data, embeddable dashboards, iframes and packages, a white-label solution with custom branding, and priority support with a 1-day SLA. The Growth Plan is priced at $20 per user per month.
The Enterprise Plan of SayData, in addition to the features of the Growth Plan, includes custom visualizations and features, unlimited data schemas, custom on-prem deployment, and a dedicated account manager. Pricing for the Enterprise plan requires one to get in contact with SayData.
SayData can be seamlessly integrated into a Slack workspace. This allows for easy data sharing, collaboration, and real-time analysis within the workspace itself.
Yes, you can share SayData's analytics via simple sharable links. This makes it easier to collaborate with team members and share insights.
SayData is currently trusted by several teams including LivSyt, MaxiMl, Beauty, StarClinch, Vaspian, Knowlarity, and DotPe.
The superpowers of SayData lie in its ability to allow users to ask questions in plain English, eliminating the need for complicated SQL queries or complex programming languages. It offers a comprehensive suite of data visualization and analysis tools, enabling users to explore and uncover data insights in real-time, and create custom dashboards and reports that showcase their data in a manner that's easy to understand.
SayData is engineered for simplicity and beautiful visualization. It's designed to seamlessly integrate into your applications, turning complex data into beautifully visualized, understandable insights. Users can ask questions in plain English and SayData does the rest, providing detailed visualizations based on the processed data.
Yes, SayData can be safely deployed and constructed. It offers secure use with any of its stack configurations in a specific region or on-prem. It follows a privacy-first architecture and conducts annual penetration tests to ensure that its security measures are top-notch.
Pros and Cons
Pros
- No need for SQL queries
- English language data querying
- Real-time data insights
- Customizable dashboards and reports
- Tailored business-specific questions
- Supports various data integrations
- Integration with dashboards/apps/Slack
- Shareable insights via link
- White-label analytics offered
- Privacy-first architecture
- Annual security penetration tests
- Flexible pricing options
- SaaS-specific analytics
- Visualization suite included
- Embeddable analytics in apps
- Seamless integration in workflows
- Supports MySQL
- ClickHouse integrations
- Supports Athena
- MariaDB integrations
- Supports PostgreSQL
- MongoDB integrations
- Supports Rocket
- Snowflake integrations
- Out-of-the-box dashboard portal
- On-prem
- region specific stacks
- Slack support for Standard Plan
- Fine-tuned LLMs for Growth Plan
- White-label solution with custom branding
- Embedded dashboards
- iframes and packages
- Custom visualizations for Enterprise Plan
- Unlimited data schemas for Enterprise Plan
- Dedicated account manager for Enterprise Plan
Cons
- No API mentioned
- Dependent on specific integrations
- Limited to English queries
- No multilanguage support
- No advanced programming supported
- Lacks public performance metrics
- No stated offline functionality
- Potential extra cost for customization
- Limitations on data sources
- No free-tier for businesses
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