Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
IBM's industry data model serves as a comprehensive guide that incorporates shared components aligned with best practices and regulatory standards, tailored to meet the intricate data and analytical demands of various sectors. By utilizing such a model, organizations can effectively oversee data warehouses and data lakes, enabling them to extract more profound insights that lead to improved decision-making. These models encompass designs for warehouses, standardized business terminology, and business intelligence templates, all organized within a predefined framework aimed at expediting the analytics journey for specific industries. Speed up the analysis and design of functional requirements by leveraging tailored information infrastructures specific to the industry. Develop and optimize data warehouses with a cohesive architecture that adapts to evolving requirements, thereby minimizing risks and enhancing data delivery to applications throughout the organization, which is crucial for driving transformation. Establish comprehensive enterprise-wide key performance indicators (KPIs) while addressing the needs for compliance, reporting, and analytical processes. Additionally, implement industry-specific vocabularies and templates for regulatory reporting to effectively manage and govern your data assets, ensuring thorough oversight and accountability. This multifaceted approach not only streamlines operations but also empowers organizations to respond proactively to the dynamic nature of their industry landscape.
Description
Muspell HDP, developed by 314e Corporation, is a cutting-edge, cloud-native data warehouse tailored for healthcare operators and built on the FHIR standard to seamlessly integrate various data types like patient records, claims, and lab results into a cohesive and standardized format, which simplifies processes and reduces the costs typically linked to custom data models. Its design allows for scalability, efficiently managing data for a vast number of patients, ranging from tens of thousands to millions, while ensuring optimal performance. Additionally, it comes equipped with ready-to-use analytics dashboards and templates for key healthcare metrics, such as HEDIS, eCQM, and QIP, along with curated reference datasets like Hospital Price Transparency and NPPES, and offers managed ETL services to maintain data freshness in near-real-time. The user-friendly interface empowers non-technical users to create charts, dashboards, and queries effortlessly. Moreover, it features an infrastructure that is ready for AI applications, supporting natural language queries and predictive analytics, all while adhering to stringent compliance and security measures, including HIPAA and HITRUST standards. This comprehensive solution not only enhances healthcare data management but also fosters a more efficient approach to analytics and decision-making within the industry.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
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
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/analytics/industry-models
Vendor Details
Company Name
314e Corporation
Founded
2004
Country
United States
Website
www.314e.com/muspell-hdp/
Product Features
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No
Product Features
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No