Users can create complex charts, maps, and graphs by simply dragging data fields onto rows, columns, and mark cards. The interface intuitively encodes data into visual properties like size, color, and shape.
Tableau can connect directly to live databases (via ODBC/JDBC) for real-time analysis or create in-memory extracts (hyper format) for optimized performance on large datasets.
Combine data from multiple sources (e.g., SQL database + Excel + cloud app) without requiring ETL preprocessing. Define relationships between tables based on logical keys rather than rigid joins.
Dashboards combine multiple visualizations with filters, parameters, and actions (highlight, filter, URL) that respond to user clicks, creating guided analytical stories.
Built-in features include trend lines, forecasting, clustering, and statistical summaries. Integrates with R, Python, and MATLAB for custom calculations and predictive models.
A separate visual tool for cleaning, shaping, and combining data through a flow-based interface. Automates repetitive tasks and profiles data quality.
JavaScript APIs and REST APIs allow developers to embed fully interactive Tableau views into custom web applications, portals, or internal systems.
Sales managers use Tableau to track KPIs like revenue, pipeline, win rates, and quota attainment across regions and teams. By connecting to CRM systems like Salesforce, they create dashboards that update in real time, highlighting top performers and at-risk deals. Interactive filters allow drilling into individual rep performance or product lines, enabling timely coaching and strategy adjustments.
Logistics analysts blend data from ERP, warehouse management, and transportation systems to visualize on-time delivery rates, inventory turnover, and shipping costs. Geospatial maps show shipment routes and delays, while time-series forecasts help anticipate demand spikes. This visibility helps reduce stockouts, optimize routes, and cut carrying costs.
Hospital administrators connect electronic health records (EHR) and billing data to analyze patient outcomes, readmission rates, and resource utilization. Dashboards segment data by diagnosis, provider, and demographics, identifying best practices and variation. Predictive models flag high-risk patients for proactive care, improving quality while controlling costs.
Marketing teams unify data from Google Analytics, social platforms, email systems, and CRM to measure campaign performance across channels. Attribution models visualize which touchpoints drive conversions, and cohort analysis tracks customer lifetime value. Real-time dashboards help reallocate budgets to high-performing channels and creative assets.
FP&A analysts import data from general ledgers, HR systems, and operational databases to create rolling forecasts, variance analyses, and profitability dashboards. What-if scenarios using parameters let executives simulate the impact of economic changes or strategic decisions. Automated reports replace manual spreadsheet consolidation, saving time and reducing errors.
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15Five operates in the people analytics and employee experience space, where platforms aggregate HR and feedback data to give organizations insight into their workforce. These tools typically support engagement surveys, performance or goal tracking, and dashboards that help leaders interpret trends. They are intended to augment HR and management decisions, not to replace professional judgment or context. For specific information about 15Five's metrics, integrations, and privacy safeguards, you should refer to the vendor resources published at https://www.15five.com.
20-20 Technologies is a comprehensive interior design and space planning software platform primarily serving kitchen and bath designers, furniture retailers, and interior design professionals. The company provides specialized tools for creating detailed 3D visualizations, generating accurate quotes, managing projects, and streamlining the entire design-to-sales workflow. Their software enables designers to create photorealistic renderings, produce precise floor plans, and automatically generate material lists and pricing. The platform integrates with manufacturer catalogs, allowing users to access up-to-date product information and specifications. 20-20 Technologies focuses on bridging the gap between design creativity and practical business needs, helping professionals present compelling visual proposals while maintaining accurate costing and project management. The software is particularly strong in the kitchen and bath industry, where precision measurements and material specifications are critical. Users range from independent designers to large retail chains and manufacturing companies seeking to improve their design presentation capabilities and sales processes.
3D Generative Adversarial Network (3D-GAN) is a pioneering research project and framework for generating three-dimensional objects using Generative Adversarial Networks. Developed primarily in academia, it represents a significant advancement in unsupervised learning for 3D data synthesis. The tool learns to create volumetric 3D models from 2D image datasets, enabling the generation of novel, realistic 3D shapes such as furniture, vehicles, and basic structures without explicit 3D supervision. It is used by researchers, computer vision scientists, and developers exploring 3D content creation, synthetic data generation for robotics and autonomous systems, and advancements in geometric deep learning. The project demonstrates how adversarial training can be applied to 3D convolutional networks, producing high-quality voxel-based outputs. It serves as a foundational reference implementation for subsequent work in 3D generative AI, often cited in papers exploring 3D shape completion, single-view reconstruction, and neural scene representation. While not a commercial product with a polished UI, it provides code and models for the research community to build upon.
