Unscrambl
What does it do?
- Conversational Analytics
- Data-Driven Decision Making
- Business Intelligence
- Real-Time Data Analysis
- Collaborative Data Storytelling
How is it used?
- 1. Connect data sources
- 2. Ask Qbo questions
- 3. Receive instant insights
- 4. Collaborate in Teams
- 5. Continuous learning
Who is it good for?
- Marketing Professionals
- Business Analysts
- Sales Teams
- Data-Driven Professionals
- Executive Decision-Makers
What does it cost?
- Pricing model : Book Demo / Request Quote
Details & Features
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Made By
Unscrambl -
Released On
Unscrambl is an analytics platform that provides users with an AI-powered data analyst named Qbo. This tool enables business users to interact with their data conversationally, primarily through Microsoft Teams, facilitating data-driven decision-making without requiring technical expertise.
Key features:
- Conversational Analytics: Allows users to ask questions in natural language and receive instant, visually formatted insights, making data analysis accessible to non-technical users.
- 24/7 Availability: Provides insights and tracks key metrics at any time, eliminating the need for waiting on reports.
- Integration with Microsoft Teams: Enables users to interact with Qbo directly within Microsoft Teams, enhancing collaboration and streamlining data discussions.
- Automated Insights: Automatically uncovers trends, root causes, and changes in key performance indicators (KPIs) using AI, delivering personalized insights quickly.
- Embedded Analytics: Integrates data science models directly into the user interface, allowing business users to leverage advanced analytics without deep technical knowledge.
- Data Storytelling: Enables users to create and share visually rich, presentation-ready data stories in real-time during meetings, facilitating immediate decision-making.
- Live Querying: Connects to various data sources (both on-premises and cloud-based) for real-time data querying without requiring data duplication.
- Collaborative Features: Allows users to work together within the platform to analyze data, resolve issues, and identify new opportunities.
- Security and Deployment Options: Can be deployed on-premises, in private clouds, or hosted by Unscrambl, ensuring data security and governance.
How it works:
1. Users connect Qbo to their data sources, including on-premises databases, cloud data lakes, and applications.
2. Users engage with Qbo through natural language queries, asking questions directly about their data.
3. Qbo processes these queries and delivers insights in seconds, allowing users to explore data trends and metrics interactively.
4. Teams collaborate within Microsoft Teams, sharing insights and creating data stories together.
5. Qbo learns from user interactions, improving its responses and insights over time.
Integrations:
- Microsoft Teams
- Snowflake
- Various cloud platforms
Use of AI:
Unscrambl's Qbo utilizes generative AI to interpret natural language queries and deliver insights. This capability is built on advanced natural language processing (NLP) models, allowing users to engage with their data intuitively and effectively.
AI foundation model:
The AI foundation models are designed to understand context and nuances in user queries, providing relevant and actionable insights.
Target users:
- Business Analysts
- Marketing Teams
- Sales Teams
- Executives
How to access:
Unscrambl is available as a web app and is primarily integrated into Microsoft Teams. It can be accessed via web browsers on various devices but does not currently offer a mobile app.
Industries applicable:
- Marketing and Advertising
- Sales
- Finance
- Healthcare
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Supported ecosystemsMicrosoft, Microsoft Teams
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What does it do?Conversational Analytics, Data-Driven Decision Making, Business Intelligence, Real-Time Data Analysis, Collaborative Data Storytelling
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Who is it good for?Marketing Professionals, Business Analysts, Sales Teams, Data-Driven Professionals, Executive Decision-Makers
PRICING
Visit site| Pricing model: Book Demo / Request Quote |
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