Jetpack allows users of all experience levels to speak directly with internal and external data to visualize information. Built specifically to democratize access to a highly specialized field while providing additional analysis techniques for expert users, Jetpack offers value to all users.

Jetpack's synergy with Connected’s customizable views provide dynamic, user-specific analytic environments. The natural language aspect of Jetpack then augments, not replaces, expert-driven visualizations and workflows.This unique adaptability enhances engagement and satisfaction by tailoring analytics to individual workflows and needs, setting Jetpack apart from standard “do a query” tools.

Jetpack connects to various types of data and uses a semantic layer for adapters to: TimeSeries, Geographic Analytics, Graph Databases, AI/ML and Advanced Analytics tools, Wide Column & SQL databases.

Connecting with internal and external data sources, Jetpack delivers detailed comparisons on multi-data types and ensures the RAG architecture will simultaneously enforce data security and eliminate the potential for data leakage.

The short answer is yes. Jetpack works in conjunction with our Connected product and connects heterogeneous, unstructured data such as knowledge graphs and synthesizes them into a semantic model. Users can then use Jetpack to query and interpret this in the same way you would with structured data.

Jetpack integrates with many of the specialized tools that expert users deploy in their workflows to ensure that productivity is high and outputs are reached efficiently. 

As part of any onboarding process, our Quickstart PoC is an end-to-end service designed to quickly demonstrate the practical value and viability of Jetpack within approximately eight weeks. This PoC is not just about showcasing Jetpack's potential to revolutionize data analysis; it's also a strategic exploration into how this technology can be seamlessly integrated and scaled within your organization's existing value streams.

Jetpack supports all users to progressively build and refine hypotheses. It extends beyond synthesizing natural language into queries, it interprets the user’s intents and guides them through data analysis, specialized to their specific domains. Regardless of your particular needs or industry, Jetpack understands the nuances of the data and can return highly relevant and actionable insights. 

Interacting with the module, users pose questions to which Jetpack responds by retrieving and analyzing relevant data. It then catalogs the findings in natural language and illustrates them in compelling data visualizations that are easily understandable. This iterative process not only enhances the depth and breadth of data exploration, but fosters a deeper understanding of the underlying patterns and trends.

Yes, absolutely. Jetpack retrieves and analyzes relevant data before cataloging findings and illustrating them in beautiful and easy to understand data visualizations. 

Jetpack's agent-driven UI navigation means that the experts who understand their data can still use the tools that embody their expertise: domain-specific visualizations and workflows. The module supports anyone to build compelling stories, supported by accurate and real-time data.