Name: Webinar: 5 Keys to Graph Success | Gemini Data
Uploaded: 2023-04-24T11:43:27.000Z
Duration: 44 min
Description: Webinar - 5 keys to graph success - Gemini Data

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Gemini Explore is a modern graph data platform designed to assist organizations in initiating their graph data journey. According to the vendor, this cloud-native platform eliminates the need for organizations to build or maintain infrastructure, making it accessible for businesses of various sizes, from small businesses to large enterprises. Gemini Explore is utilized by business analysts, data scientists, IT professionals, researchers, and professionals in the financial services industry.

## Key Features

**Cloud Native**: According to the vendor, Gemini Explore is a cloud-native platform that removes the requirement for organizations to build or maintain infrastructure. Users can easily sign up for projects that suit their workload and commence their graph data journey without the hassle of infrastructure setup.

**No-Code**: According to the vendor, Gemini Explore does not necessitate specialized IT or graph query language skills. Users can effortlessly import disparate data and model their relationships without the need for coding. This no-code approach aims to make it accessible for both technical and business users to work with graph data.

**Connect to More Data**: Gemini Explore provides built-in connectors and a user-friendly, guided interface to simplify the setup, connection, and management of various data sources, according to the vendor. This allows organizations to leverage their existing data and seamlessly integrate it into the graph data platform.

**BYO Graph Database**: Users can connect Gemini Explore to any Neo4j deployment, including Enterprise Edition and AuraDB, according to the vendor. This flexibility enables organizations to maximize their existing investments in Neo4j and integrate with ease.

**Guided Search**: Gemini Explore offers a powerful search feature that enables users to ask questions using keyword search, as per the vendor. The platform supports queries, conditions, attributes, properties, filters, and ranges, empowering users to curate and customize how the results are presented on the canvas.

**Flexible Exploration**: Users have access to a range of tools in Gemini Explore to explore their data from different perspectives, according to the vendor. They can expand or narrow down the level of detail, automatically "de-clutter" graphs to highlight clusters, patterns, and outliers, and utilize grouping to enhance their analysis.

**Customized Visualizations**: Gemini Explore provides an advanced visual canvas with a comprehensive set of styles and customization options, according to the vendor. Users can incorporate custom icons, colors, and other elements to align with their brand or other assets. This feature enables users to create clear and compelling visualizations of their graph data.

**GPT-X Powered Search**: According to the vendor, Gemini Explore incorporates natural language search powered by OpenAI's GPT-X APIs. Users can ask questions about their data using everyday language and receive graph-based answers. This feature aims to simplify user interaction with data and facilitate gaining insights.

**Dashboard & Report**: Users can transform their graph data exploration into interactive dashboards and reports within Gemini Explore, according to the vendor. This feature facilitates faster decision-making by visualizing data and providing transparency and detail behind the analysis.

**Collaboration & Sharing**: Sharing insights and findings is crucial for the success of graph data in any organization, according to the vendor. Gemini Explore enables users to easily share information and insights with role-based access control. It supports private and public permalinks and shareable snapshots, promoting collaboration among team members.

Gemini Data's flagship solution, Gemini Explore, enables customers to grasp complex data relationships, to increase the pace of human knowledge and advancement with contextualized data storytelling. It is presented as a modern, no-code and cloud native platform to ingest and model data, discover relationships, create knowledge and share insights.

Roambi was a cloud-based solution designed specifically for mobile data consumers, used to create touch-based data visualizations. It was acquired by SAP in 2016 for the SAP Analytics portfolio, and has since been discontinued as a standalone product.

Starter

Business

Roambi (discontinued)

Professional

Organization

Chartio (discontinued)

Gemini Explore

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Data Discovery and Visualization

How to Connect Gemini Explore to a Neo4j  Database

How to Search for Data with Gemini Explore

Gemini Demo Intro: Insurance Fraud

Gemini Data

Use Case - Gemini Explore and Graph Technology for Supply Chain Management

Gemini Explore and Graph Technology for Supply Chain Management

Using graph technology and Gemin Explore to build resiliency and improve visibility across supply chain operations.

Learn more about Gemini Explore can help you get faster time-to-value, broader adoption, and increased ROI on your graph data investment:

https://www.geminidata.com/supply-chain/

Try it for free:
https://www.geminidata.com/trial-signup/

Or contact us today for a demo:
https://www.geminidata.com/contact-us/

Natural Language Search with Gemini Explore and GPT-3

A walk-through of Gemini Explore's search functionality that lets users search their graph data without having to know a graph query language like Cypher or Gremlin - and uses OpenAI's GPT-3 APIs to add natural language search. Learn more at http://geminidata.com/

Webinar - 5 keys to graph success - Gemini Data

Webinar: 5 Keys to Graph Success | Gemini Data

If you want to bring graph technology to your organization, be prepared for a challenging journey. You’ll need to balance budget, schedule, and requirements while dealing with the realities of deploying a graph platform.

Join our graph experts for a quick countdown of the five reasons projects fail – and how you and your team can avoid these pitfalls and ensure the success of your project.

Original Webinar Date: April 12, 2023

Learn more about Gemini Explore can help you get faster time-to-value, broader adoption, and increased ROI on your graph data investment:

http://geminidata.com/ 

Try it for free:
https://www.geminidata.com/trial-signup/

Or contact us today for a demo:
https://www.geminidata.com/contact-us/

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.

Pre-built visualization formats (heatmaps, scatter plots etc.)

Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.

Location Analytics / Geographic Visualization

Location analytics is the visualization of geographical or spatial data.

Predictive Analytics

Predictive Analytics is the ability to build forecasting models based on existing data sets.

Support for Machine Learning models

Machine learning refers to computer programs that can learn when exposed to new data.

Pattern Recognition and Data Mining

Pattern recognition and data mining mean the ability to recognize hidden patterns in large quantities of data.

Integration with R or other statistical packages

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

Customizable dashboards

Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.

Report Formatting Templates

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Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.

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Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

Drill-down analysis

Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.

Formatting capabilities

Ability to format output e.g. conditional formatting, lines, headers, footers.

Predictive modeling

Predictive modeling is the ability to build future forecasting models.

Integration with the open-source R predictive modeling environment.

Report sharing and collaboration

Report sharing and collaboration is the ability to easily share reports with others.

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Ability to schedule and manager report output.

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Report versioning is the assignment of version numbers to each version of a report to help in tracking.

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Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.

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Ability to deliver reports to remote servers

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