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What is Hexplora?

HEX presents a robust assortment of products specifically designed to meet the analytical, metrics, and reporting needs of the healthcare industry. The centerpiece of these offerings is the HEX Enterprise Data Warehouse, referred to as Hexplora, which integrates data from multiple sources and sectors into a single, cohesive repository. This data is subject to rigorous quality assessments and is supplemented by established metrics to guarantee its reliability. Among the notable attributes of the Hexplora Data Repository is its function as a definitive source of truth for organizations, facilitating the integration and transformation of data into actionable insights, as well as providing a comprehensive longitudinal perspective on members. Additionally, it enables complete historical tracking, presenting both current and past data viewpoints. Its scalable architecture ensures outstanding performance and quick response times, while its adaptable design fosters in-depth insights and effective analytics. By delivering timely information, it allows for proactive engagement within the healthcare sector. Moreover, HEX Performance Analytics includes an array of dashboards, scorecards, and KPIs, featuring over 300 pre-defined metrics that empower organizations to delve into their data exploration initiatives. Overall, HEX's innovative solutions equip healthcare organizations to make well-informed decisions grounded in trustworthy data, ultimately enhancing their operational efficiency and effectiveness.

What is Data Warehouse Studio?

Data Warehouse Studio enables software architects, data modelers, and business analysts to take an active part in the effective realization of data warehouse and business intelligence projects. With its intuitive graphical interface, these experts can define business rules, data mappings, coding standards, and a variety of design elements. After inputting these essential requirements and technical details into Data Warehouse Studio’s central repository, the platform can automatically generate 99-100% of the required SQL and ETL code, eliminating the need for manual coding efforts. In fact, for most projects, it completely abolishes the necessity for hand-coding SQL or ETL tasks. Serving as a design-time solution, Data Warehouse Studio provides a comprehensive platform that enables all project participants to effectively document requirements and technical specifications. This collaborative aspect not only fosters improved communication among team members but also simplifies the entire development process, ultimately leading to more successful project outcomes. Moreover, by streamlining these workflows, it allows teams to focus more on strategic analysis and decision-making.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Hexplora

Company Location

United States

Company Website

www.hexplora.com

Company Facts

Organization Name

Gamma Systems

Date Founded

2001

Company Location

United States

Company Website

www.gamma-sys.com/products/gamma-data-warehouse-studio/

Categories and Features

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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