Datayaki
2.60
0
Datayaki simplifies data analysis by creating widgets through questions, without SQL or Excel macros.
What is Datayaki?
Datayaki is an AI data analyst tool designed to simplify the process of data analysis by allowing users to create widgets through simple questions, eliminating the need for SQL queries or Excel macros. This tool operates within the user's browser or backend to ensure privacy by relying only on the structure of the data, not its contents. Users can analyze various data formats like XLS and CSV files, across multiple spreadsheets simultaneously. Key features include explainable AI for trust and explainability, end-to-end encryption for secure collaboration, and support for SQL and NoSQL databases through connectors like Firebase, Postgres, Supabase, Snowflake, and more.
Who created Datayaki?
Datayaki, a user-friendly data analytics tool, was created to allow users to generate widgets by asking questions in plain English. Launched on July 25, 2023, Datayaki was founded with a focus on simplicity and privacy, ensuring all analysis is conducted within the user's browser or backend. Its founder and specific company details are not provided in the document .
What is Datayaki used for?
- Create widgets by asking questions without needing SQL queries or Excel macros
- Analyze data within the user's browser or backend for privacy
- Support for Excel spreadsheets and SQL databases
- Explainable AI for trust and explainability
- End-to-end encryption for secure collaboration
- Connectors for popular SQL and NoSQL databases
- User-friendly data analytics tool for obtaining insights in plain English
- Handle various data formats effortlessly
- Provide explainable analysis and allow user guidance
- Simplify the process of obtaining insights
How to use Datayaki?
Datayaki is a user-friendly data analytics tool that simplifies the process of obtaining insights by allowing users to ask questions in plain English. Here is a step-by-step guide on how to use Datayaki effectively:
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Asking Questions: Start by asking questions in plain English to Datayaki. You don't need to write complex SQL queries or Excel macros; just frame your questions naturally.
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Data Analysis: Let Datayaki analyze your data. The tool performs all the analysis within your browser or backend, ensuring privacy by focusing on the structure of your data rather than its contents.
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Data Formats Supported: Datayaki supports various data formats, including Excel spreadsheets on your desktop and SQL databases in the cloud. You can analyze data from multiple spreadsheets simultaneously.
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Explainable AI: Benefit from Datayaki's explainable AI feature, which provides transparency and trust in the analysis process. If needed, you can guide the tool to correct any inaccuracies.
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Secure Collaboration: Collaborate securely with peers by sharing dashboards and analyses. Datayaki ensures end-to-end encryption, allowing only authorized collaborators to access the shared data.
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Database Connectors: For users preferring SQL or NoSQL databases, Datayaki offers connectors for popular platforms like Firebase, Postgres, Supabase, Snowflake, and more.
By following these steps, you can leverage Datayaki to quickly derive insights from your data without the need for advanced technical skills, ensuring privacy, transparency, and secure collaboration throughout the analysis process. Enjoy the benefits of effortless data analysis with Datayaki.
Datayaki FAQs
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What is Datayaki?
- Datayaki is a data analytics tool that allows users to create widgets by simply asking questions, eliminating the need to write SQL queries or Excel macros.
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How does Datayaki ensure privacy?
- Datayaki performs all analysis within the user's browser or backend and relies only on the structure of the data, not its content, ensuring privacy.
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What data formats does Datayaki support?
- Datayaki supports multiple data formats, including Excel spreadsheets on the desktop and SQL databases in the cloud, with built-in support for XLS and CSV files.
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What is the key feature of Datayaki in terms of AI?
- One of the key features of Datayaki is its explainable AI, providing trust and explainability by allowing the tool to explain its analysis and letting users guide it when needed.
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How does Datayaki ensure secure collaboration?
- Datayaki offers end-to-end encryption for secure collaboration, allowing users to share dashboards and analyses with peers while ensuring data access only by authorized collaborators.
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Does Datayaki provide support for SQL and NoSQL databases?
- Yes, Datayaki provides connectors for popular platforms such as Firebase, Postgres, Supabase, Snowflake, and more for those preferring SQL or NoSQL databases.
Get started with Datayaki
Datayaki reviews
Julien Lemoine
November 24, 2024
What do you like most about using Datayaki?
I appreciate the concept of simplifying data analysis with straightforward questions, as it can be beneficial for non-technical users.
What do you dislike most about using Datayaki?
The interface feels clunky and not very intuitive. I often find myself confused about how to set up the widgets properly.
What problems does Datayaki help you solve, and how does this benefit you?
It attempts to bridge the gap for users who struggle with SQL, but the execution could be better. I still face challenges when trying to analyze complex datasets.
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Sophie Renard
January 11, 2025
What do you like most about using Datayaki?
The ability to create widgets through questions is innovative and makes data analysis more accessible.
What do you dislike most about using Datayaki?
The performance can be slow at times, especially with large datasets, which hampers the workflow.
What problems does Datayaki help you solve, and how does this benefit you?
It helps in visualizing data more easily, but I still find myself needing to rely on traditional tools for in-depth analysis.
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Marc Dupont
December 13, 2024
What do you like most about using Datayaki?
I love the security features like end-to-end encryption. It gives me peace of mind when handling sensitive data.
What do you dislike most about using Datayaki?
Sometimes, the system gets stuck when processing large files, which can be frustrating.
What problems does Datayaki help you solve, and how does this benefit you?
It simplifies data manipulation without needing extensive coding knowledge, which is a significant advantage for my team.
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