Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
HEX offers a powerful range of products tailored to fulfill the analytical, metrics, and reporting requirements of the healthcare sector. The HEX Enterprise Data Warehouse, known as Hexplora, consolidates data from various sources and domains into a unified repository. This data undergoes extensive quality checks and is enhanced by established metrics to ensure reliability. Key features of the Hexplora Data Repository include its role as a single source of truth for organizations, the integration and transformation of data into actionable insights, and a comprehensive 360-degree longitudinal view of members. It also allows for full historical tracking, showcasing both as-is and as-was perspectives of data. Furthermore, its scalable infrastructure guarantees excellent performance and response times, while its flexible design supports deep insights and efficient analytics. By providing timely information, it enables proactive engagement within the sector. In addition, HEX Performance Analytics features dashboards, scorecards, and KPIs, boasting over 300 pre-defined metrics to empower businesses in their data exploration endeavors. Overall, HEX's solutions empower healthcare organizations to make informed decisions based on reliable data.
Description
Eliminate all manual procedures, potential error sources, and inefficiencies. Avoid the need to constantly re-engineer your data warehouse with every shift in business requirements. Implement automatic quality checks both between and within data sources and respond swiftly when issues arise, which is essential for numerous data users. It’s important to genuinely trust your data now. Create a “gold record” reference point to ensure that business teams always have access to the most up-to-date information available. Establish one unified version of the truth that can be accessed anytime, anywhere. Develop an intermediate model that organizes, stores, and preserves your data independently of how it will be used. Be agile in responding to evolving data sources and business inquiries. Seamlessly connect all your data sources—from data lakes and operational systems to spreadsheets and legacy tools—just like you would with the initial one. Ensure data is stored, preserved, and enhanced in quality to streamline data warehouse automation processes. Data should be organized, enriched, and thoroughly documented so that it is accessible in well-structured datasets (information marts). In doing so, you pave the way for more efficient decision-making across the organization.
API Access
Has API
No
API Access
Has API
No
Integrations
Google Sheets
No
Microsoft Excel
No
Microsoft Power BI
No
Qlik Data Integration
No
Tableau
No
Toucan
No
Integrations
Google Sheets
Yes
Microsoft Excel
Yes
Microsoft Power BI
Yes
Qlik Data Integration
Yes
Tableau
Yes
Toucan
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Hexplora
Country
United States
Website
www.hexplora.com
Vendor Details
Company Name
dFakto
Founded
2000
Country
Belgium
Website
www.dfakto.com/datafaktory-data-warehouse-automation/
Product Features
Business Intelligence
Ad Hoc Reports
No
Benchmarking
No
Budgeting & Forecasting
No
Dashboard
No
Data Analysis
No
Key Performance Indicators
No
Natural Language Generation (NLG)
No
Performance Metrics
No
Predictive Analytics
No
Profitability Analysis
No
Strategic Planning
No
Trend / Problem Indicators
No
Visual Analytics
No
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No